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  • ENGS 1.01
    Mathematical Concepts in Engineering

    Description

    This course introduces prospective engineering students to mathematical concepts relevant in engineering while emphasizing the solving of engineering problems rather than mathematical derivations and theory. All topics are driven by engineering applications taken directly from core engineering courses. The course includes hands-on laboratory exercises as well as a thorough introduction to Matlab.

    Distribution Code

    TAS
  • ENGS 2
    Integrated Design: Engineering, Architecture, and Building Technology

    Description

    An introduction to the integrated design of structures and the evolving role of architects and engineers. The course will investigate the idea that design excellence is very often the result of deep collaboration between engineers, architects, and builders and that it is only in relatively recent history that a distinction between these areas of expertise has existed. The historical, social, and architectural impact of structures will be explored and several structures and their designers will be studied in depth. Enrollment is limited to 50 students.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 12
    Location:

    MacLean B01

    Instructors:

    John D. Wilson


    Term: Summer 2022
    Time: Arrange
    Location:

    MacLean B01

    Instructors:

    John D. Wilson


    Term: Winter 2023
    Time: 12
    Location:

    MACLEAN B01 ZALESK

    Instructors:

    John D. Wilson


    Term: Winter 2023
    Time: 11
    Location:

    MACLEAN B01 ZALESK

    Instructors:

    John D. Wilson


    Term: Summer 2023
    Time: 2A
    Location: –
    Instructors:

    John D. Wilson


    Term: Winter 2024
    Time: 12
    Location: –
    Instructors:

    John D. Wilson


  • ENGS 3
    Materials: The Substance of Civilization

    Description

    With the exception of ideas and emotions, materials are the substance of civilization. From the "Iceman's" copper ax to indium phosphide gallium arsenide semiconductor lasers, materials have always defined our world. We even name our epochs of time based on the dominant material of the age: Stone Age, Bronze Age, Iron Age and now Silicon Age. In addition to discussing the nature and processing of metals, polymers, ceramics, glass and electronic materials, this course will analyze the dramatic developments in civilization directly resulting from advances in such materials. The text Stephen Sass' The Substance of Civilization will be used in the course. Enrollment is limited to 50 students per section.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: Cancelled
    Location: –
    Instructors:

    Eric S. Bish


    Term: Winter 2024
    Time: 2A
    Location: –
    Instructors:

    Eric S. Bish

    Ronald C. Lasky


  • ENGS 4
    Technology of Cyberspace

    Description

    This course will cover some basic concepts underlying the "information superhighway." The technologies of high-speed networking have stimulated much activity within the federal government, the telecommunications and computer industries, and even social science and popular fiction writing. The technical focus will be on communications technologies, information theory, and the communications requirements of video (standard and ATV), speech (and other audio), and text data. Social, economic, and policy issues will be an integral part of the course. Enrollment is limited to 30 students.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2023
    Time: 2A
    Location: –
    Instructors:

    Stephen Taylor


  • ENGS 5
    Healthcare and Biotechnology in the 21st Century

    Description

    The course will explore technologies that will impact healthcare in the 21st century, including biology, robotics, and information. Included will be biotechnologies to be used for the treatment of diseases and the regeneration of missing organs and limbs. The course will also cover robotics that will replace human parts. Included will be artificial organs and joints, robots as replacement for human parts, the human genome project, gene therapy, biomaterials, genetic engineering, cloning, transplantation (auto, allo, and xeno), limb regeneration, man-machine interfaces, and prosthetic limbs. This section will also cover ethical issues related to the above topics and issues regarding the FDA and the approval of new medical treatments. We will discuss going beyond normal with respect to the senses, muscles, and creating wings. Enrollment is limited to 75 students.

    Distribution Code

    TAS
  • ENGS 6
    Technology and Biosecurity

    Description

    This course will introduce students to the technologies used to combat biological threats to security ranging from pandemic influenza to bioterrorism. In particular, this course will explore the dual role that technology plays in both enhancing and destabilizing security. Specific technologies covered include the use of nanotechnology, synthetic biology, and mass spectrometry. The course considers questions such as: Where can technological solutions have the greatest impact? When can defensive technologies have offensive applications? And, how can we balance the need to regulate potentially dangerous technologies against the need for academic freedom and high tech innovation? Enrollment is limited to 30 students.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: Cancelled
    Location: –
    Instructors:

    Kendall L. Hoyt


    Term: Spring 2023
    Time: 2A
    Location:

    MACLEAN 132

    Instructors:

    Kendall L. Hoyt


    Term: Spring 2024
    Time: 2A
    Location: –
    Instructors:

    Kendall L. Hoyt


  • ENGS 7.02
    Climate Change

    Description

    Climate change has occurred naturally and frequently over the course of many time scales in the past. America today is engaged in a discussion of current climate change and its cause, ranging from calls for immediate action to denial. This course explores the published scientific literature on the nature and cause of climate change, potential impacts on us, and the implications for our nation's energy issues. Through readings, class discussion, and individual research, we will explore this complex problem; student writing will synthesize results from the literature to clarify the factual basis for their own understanding. Reading will include a number of published papers and selections from textbooks. Students will be required to actively participate in class by leading class discussions and actively engaging in small group activities. In addition students will write two short papers, develop an annotated bibliography, and write a research paper based on the research completed for the annotated bibliography. Enrollment is limited to 16 students.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2023
    Time: 10
    Location:

    ECSC B01

    Instructors:

    Klaus Keller


  • ENGS 7.05
    Contemporary and Historical Perspectives on Medical Imaging

    Description

    Medical imaging has evolved significantly over the last 100 years and has transformed modern medical practice to the extent that very few clinical decisions are made without relying on information obtained with contemporary imaging modalities. The future of medical imaging may be even more promising as new technologies are being developed to observe the structural, functional, and molecular characteristics of tissues at finer and finer spatial scales. This first-year seminar will review the historical development of modern radiographic imaging and discuss the basic physical principles behind common approaches such as CT, ultrasound, and MRI. Contemporary issues surrounding the use of imaging to screen for disease, the costs to the healthcare system of routine application of advanced imaging technology, and the benefits of the information provided by medical imaging in terms of evidence-based outcomes assessment will be explored. Students will be required to read, present, and discuss materials in class and write position papers articulating and/or defending particular perspectives on the historical development of medical imaging and its contemporary and/or future uses and benefits. Enrollment is limited to 16 students.

    Distribution Code

    TAS
  • ENGS 7.06
    Sustainability Revolution

    Description

    Humanity has previously seen two major resource transitions that have had radical impacts on day-to-day life: the Neolithic revolution (from hunting and gathering to agrarian) and the industrial revolution (from agrarian to pre-sustainable industrial). This writing course will consider the hypothesis that the human enterprise now requires a third such resource revolution - the sustainability revolution (from pre-sustainable industrial to sustainable industrial) - and that future generations will judge those of us alive today by how well we responded to this imperative. Topics addressed include past resource revolutions, resource and environmental metrics, energy, food, water, and climate. Writing assignments will include a personal essay, a critique encompassing one or a few sources, and an integrated analysis.

    Distribution Code

    TAS
  • ENGS 7.07
    Science, Media & Literature

    Description

    Public communication is an increasingly important aspect of modern science and technology, and a wide array of information sources compete to serve and expand public interest in scientific advances. Social media and the popular press play a dominant role for many readers, but the filtering of scientific information through non-technical mediums can obscure important details, introduce inadvertent errors, and even result in manipulation with the intent to mislead. Accessing peer-reviewed literature or other trusted information sources can minimize inaccuracies in reports, but it comes at the cost of time and effort and does not guarantee an enlightened ground truth. This first-year seminar will help students build strategies and skills for reading, researching, and understanding science. The course will cover three modules related to contemporary issues in biomedical science. Students will read materials, search for related information, make presentations, and participate in class discussions of related ideas. Students will also draft written position papers articulating and defending a view on topics of discussion, and they will complete a written and oral research project at the end of the term.

    Distribution Code

    TAS
  • ENGS 7.08
    Energy Sustainability: Technologies and Impact

    Description

    We hear about energy sustainability, but what does this mean? What will the impact of climate change be? What energy sources are considered sustainable and why? What fraction of our energy needs is likely to come from sustainable energy in the future? Are these estimates reasonable and what are the technological and societal challenges to broader use of sustainable energy? This seminar will explore these and other questions as we learn about energy resources, technologies and solutions that affect our lives and our planet today and in the future. We will evaluate the trade-offs and uncertainties of various energy systems and explore a framework for assessing solutions. Topics and writing assignments will examine resource estimation, environmental effects, and a survey of resources and technologies such as oil and gas, nuclear power, hydropower, solar energy, wind energy and more. Writing assignments will explore and present arguments for different approaches that may be taken to avoid a future climate disaster.

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 3B
    Location:

    MacLean 201

    Instructors:

    Alexis R. Abramson


    Term: Winter 2023
    Time: 3B
    Location:

    ECSC 042

    Instructors:

    Alexis R. Abramson


  • ENGS 8
    Materials in Sports Equipment

    Description

    Sports equipment uses almost every type of material imaginable, as athletes and designers leverage state-of-the-art materials to maximize human efficiency, performance, comfort and safety. As something most people have some familiarity with, active Dartmouth students in particular, it is an excellent subject for an exploration of material characteristics, selection, design, and failure. This course will introduce materials science concepts in a way that is accessible and useful for the non-major. It will exercise student's critical thinking, quantitative and communication skills. In-class demonstrations will allow students to explore material behavior and differences between materials 'hands-on' and possible field trips or lab visits will introduce them to some engineering test methods. Finally, this course will demystify terms used by manufacturers and salespeople, and help students, as athletes and consumers, make informed equipment choices. Enrollment is limited to 40 students.

    Distribution Code

    TAS
  • ENGS 9
    Everyday Technology

    Description

    This course is intended to take the mystery out of the technology that we have grown to depend on in our everyday lives. Both the principles behind and examples of devices utilizing electricity, solid and fluid properties, chemical effects, mechanical attributes, and other topics will be discussed. In the associated lab project, students will dissect and analyze (and possibly revive!) a broken gadget or appliance of their choosing. Enrollment is limited to 50 students.

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 11
    Location: –
    Instructors:

    Scott C. Davis


    Term: Spring 2023
    Time: 11
    Location:

    CUMMINGS 118

    Instructors:

    Scott C. Davis


    Term: Spring 2024
    Time: 11
    Location: –
    Instructors:

    Scott C. Davis


  • ENGS 10
    The Science and Engineering of Digital Imaging

    Description

    Recent advances in electrical and computer engineering, computer science and applied mathematics have made remarkable digital imaging systems possible. Such systems are affecting everyone today — from eyewitness documentation of social and political events to health care to entertainment to scientific discovery. This course will introduce students to the fundamental concepts underlying a diverse and representative collection of modern digital imaging systems including cell phone cameras, medical imaging systems, space telescopes, computer games and animated movies. Specific attention will be paid to the scientific principles and engineering challenges underlying optics, computer processing chips, image processing software and algorithms, data compression and communication, and digital sensors as well as the basic principles of human vision and cognition. Students will explore and learn the basic science and technology through a combination of in-class lectures and active hands-on experimentation with digital cameras, image processing software and digital video systems. Students will participate in a course-long group project that demonstrates their understanding of and ability to harness these new technologies. Students will be expected to have access to an entry-level digital camera, either standalone or attached to a cell phone or tablet computer. Enrollment limited to 75 students.

    Distribution Code

    TAS
  • ENGS 11
    The Way Things Work - A Visual Introduction to Engineering

    Description

    Students will explore and compare engineered systems and processes in the world around them. They will sketch and build models to help them understand and communicate. Each week, students will learn new sketching and visual communication techniques that they will use to visually explain how engineered systems or processes work. Students will also maintain a sketchbook to practice new sketching techniques. After being exposed to some basic engineering principles students will further investigate specific engineered systems through sketching, research, disassembly, and building. They will communicate their findings visually.

    Distribution Code

    ART

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10A
    Location:

    Cummings 202

    Instructors:

    David A. Macaulay


    Term: Winter 2023
    Time: 10A
    Location: –
    Instructors:

    David A. Macaulay


    Term: Winter 2024
    Time: 10A
    Location: –
    Instructors:

    David A. Macaulay


  • ENGS 12
    Design Thinking

    Description

    A foundation course on the cognitive strategies and methodologies that form the basis of creative design practice. Design thinking applies to innovation across the built environment, including the design of products, services, interactive technology, environments, and experiences. Topics include design principles, human need-finding, formal methodologies, brainstorming, heuristics, thinking by analogy, scenario building, visual thinking, and study of experienced thinkers. Weekly projects and exercises in a variety of media provide practice and development of students' personal creative abilities. Enrollment is limited to 20 students.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 2A
    Location:

    MacLean 201

    Instructors:

    Rafe H. Steinhauer


    Term: Winter 2022
    Time: 10A
    Location:

    MacLean 132

    Instructors:

    Peter J. Robbie


    Term: Spring 2022
    Time: 10A
    Location: –
    Instructors:

    Rafe H. Steinhauer


    Term: Spring 2022
    Time: 10A
    Location: –
    Instructors:

    Peter J. Robbie


    Term: Spring 2022
    Time: 2A
    Location: –
    Instructors:

    Rafe H. Steinhauer


    Term: Fall 2022
    Time: 2A
    Location:

    ECSCB009

    Instructors:

    Eugene Korsunskiy


    Term: Fall 2022
    Time: 10A
    Location:

    ECSCB009

    Instructors:

    Peter J. Robbie


    Term: Winter 2023
    Time: 2A
    Location:

    ECSC B09

    Instructors:

    Rafe H. Steinhauer


    Term: Winter 2023
    Time: 10A
    Location:

    ECSC B09

    Instructors:

    Rafe H. Steinhauer


    Term: Spring 2023
    Time: 10A
    Location:

    MACLEAN 132

    Instructors:

    Peter J. Robbie


    Term: Fall 2023
    Time: 2A
    Location: –
    Instructors:

    Eugene Korsunskiy


    Term: Fall 2023
    Time: 10A
    Location: –
    Instructors:

    Peter J. Robbie


    Term: Winter 2024
    Time: 10A
    Location: –
    Instructors:

    Rafe H. Steinhauer


    Term: Winter 2024
    Time: 2A
    Location: –
    Instructors:

    Rafe H. Steinhauer


    Term: Spring 2024
    Time: 10A
    Location: –
    Instructors:

    Peter J. Robbie


    Term: Spring 2024
    Time: 2A
    Location: –
    Instructors:

    Peter J. Robbie


  • ENGS 13
    Virtual Medicine and Cybercare

    Description

    There is a revolution in technology that is occurring in healthcare. This new technology will dramatically change how healthcare is delivered in the future. This course will cover topics related to the virtual human, created from bits. This will include virtual reality, augmented reality and datafusion, computer simulation, advanced 3D and 4D imaging techniques, the operating room of the future, minimally invasive surgery, space medicine, tele-operations, tele-medicine and tele-surgery, Internet 2 and cyberspace, artificial intelligence and intelligent agents applied to medicine, and the National Library of Medicine virtual human project. We will also discuss the FDA approval of computer simulators, robotic surgeons, and the ethics of robots doing surgery. In addition, we will discuss the medical library of the future, teleconferencing, and the use of interactive media in healthcare education. We will also discuss computerized patient records (CPR) and clinical information systems. Enrollment is limited to 48 students.

    Distribution Code

    TAS
  • ENGS 15
    Undergraduate Investigations in Engineering

    Description

    An original investigation in a phase of science or engineering under the supervision of a member of the staff. Students electing the course will be expected to have a proposal approved by the department chair and to meet weekly with the staff member supervising the investigation. The course is open to undergraduates who are not majoring in engineering. It may be elected only once, or taken as a one-third course credit for each of three consecutive terms. A report describing the details of the investigation must be filed with the department chair and approved at the completion of the course.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Summer 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Fall 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Winter 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Summer 2023
    Time: –
    Location: –
    Instructors:

    Douglas W. Van Citters


  • ENGS 15.01
    Senior Design Challenge I

    Description

    The Senior Design Challenge is a two-term course designed to serve as a senior capstone experience for Dartmouth students across all majors. Students in this project-based course will practice human-centered design, developing not only the skills, but also the creative confidence to apply their liberal arts education to make a positive difference in the world beyond Dartmouth. Students will work in interdisciplinary teams on projects that will be determined in partnership with organizations in the Upper Valley. The project topics will be designed to give students some flexibility in determining the specific problem on which to focus, while ensuring client responsiveness and substantial fieldwork opportunities.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10A
    Location:

    MacLean 201

    Instructors:

    Eugene Korsunskiy


    Term: Winter 2023
    Time: 10A
    Location:

    ECSC 042

    Instructors:

    Eugene Korsunskiy


    Term: Winter 2024
    Time: 10A
    Location: –
    Instructors:

    Eugene Korsunskiy


  • ENGS 15.02
    Senior Design Challenge II

    Description

    The Senior Design Challenge is a two-term course designed to serve as a senior capstone experience for Dartmouth students across all majors. Students in this project-based course will practice human-centered design, developing not only the skills, but also the creative confidence to apply their liberal arts education to make a positive difference in the world beyond Dartmouth. Students will work in interdisciplinary teams on projects that will be determined in partnership with organizations in the Upper Valley. The project topics will be designed to give students some flexibility in determining the specific problem on which to focus, while ensuring client responsiveness and substantial fieldwork opportunities.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 3B
    Location: –
    Instructors:

    Eugene Korsunskiy


    Term: Spring 2023
    Time: 3B
    Location:

    ECSC 042

    Instructors:

    Eugene Korsunskiy


    Term: Spring 2024
    Time: 3B
    Location: –
    Instructors:

    Eugene Korsunskiy


  • ENGS 15.03
    The Ecosystem for Bio-Innovation

    Description

    We are living through biology’s century: global pandemics; $100 genomes; bio-reactor beef; plastic-eating engineered microbes…and we still have 80 years to go. This course is built around the basic idea that biotechnology is changing the world, but will only reach its greatest potential—technologically, economically, ethically—if we learn to guide it as a complex ecosystem of inter-dependent actors. Biotech hubs thrive where there is a dense milieu of intellectual and financial capital from top universities, academic medical centers, entrepreneurs, and venture capital. This course aims to ensure that future leaders—physicians, scientists, journalists, lawyers, financiers, patients, legislators—understand the ways that scientific advances, innovation policy, and entrepreneurship feed one another. Taught by a biotech venture capital investor, this is an interdisciplinary course designed to empower students with the context and confidence to go deeper than news headlines that fail to see both the ‘forest’ and the ‘trees’. The term will unfold in a cumulative manner. We begin with a diagnosis and overview of the Ecosystem for Bio-Innovation, and then go deeper into the institutions and players that cross-pollinate within this ecosystem, focusing on healthcare (e.g. mRNA vaccines, genetic disease treatments) while making note of biotechnology’s far broader impact on our society and planet. Each week of the course will focus on one theme, while also introducing new intellectual frameworks, plus real-world cases to help concretize key concepts. We will bring material to life through a combination of lecture, Socratic learning, student projects, guest speakers, and in-class debates, always infusing our time together with a sense of the scientific, economic, political, and ethical choices at stake. Final projects will allow students to critically apply coursework toward a cutting-edge area of biotechnology.

    Distribution Code

    TAS
  • ENGS 15.04
    Computing Before Electronics

    Description

    In this course we explore the computational techniques by which society survived and thrived before the advent of the integrated circuit and the electronic calculator. From the commerce of early civilizations until the last third of the 20th century, there was a progression of mechanical calculating gadgets, some simple – some quite ingenious and complex. Among these we will study slide rules, planimeters, integrators, digital adding machines, nomographs, and other special charts and graphical techniques. We will also cover celestial navigation, which in its day was a particularly important application of calculation; technical drawing and perspective, the precursors to computer graphics; and cryptography, whose computational requirements helped propel us into the electronic age. Laboratory sessions will give students direct experience using antique and period calculating instruments, plus the opportunity to create their own calculating devices.
    Includes Lab

    Prerequisites

    Introductory Calculus (Math 3, or equivalent, or permission)

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10A
    Location:

    Cummings 208

    Instructors:

    Harold J. Frost


    Term: Winter 2023
    Time: 10A
    Location:

    CUMMINGS 102

    Instructors:

    Harold J. Frost


  • ENGS 15.05
    Blockchain Explored: Promise, Pitfalls & Plumbing

    Description

    This course will explore blockchains – how they work, how they have been used, and how they are affecting society in finance, information sharing, and law. Blockchain technology and its applications have been hyped and condemned with equal fervor. We will examine the phenomenon from a number of perspectives, and aim to provide all participants, no matter what their background or level of technical skill, with both some hands-on experience in working with blockchain-based software and some understanding of the place of applications such as cryptocurrencies, NFTs and DAOs in contemporary America.

    Prerequisites

    None

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2023
    Time: 10A
    Location:

    ECSC 042

    Instructors:

    Oliver Goodenough


  • ENGS 15.06
    Technology Entrepreneurship

    Description

    This course introduces students from all majors, including science, engineering, and humanities to the fundamentals of entrepreneurship as applied to the commercialization of new technologies. Through case studies, readings, lectures, projects, and engagement with class guests the course will provide instruction and perspective on the process entrepreneurs take to start, resource, adapt and grow innovative technology-based ventures and help develop students’ understanding of their own interest in pursuing careers in the field.

    Prerequisites

    no

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2023
    Time: 2A
    Location:

    CUMMINGS 200

    Instructors:

    Preston Staats


  • ENGS 15.07
    Research Methods for Human-Centered Design

    Description

    Research to inform Human-Centered design draws from a variety of disciplines (chiefly Human Factors and User Research) to solve complex, ambitious problems in technology design. The process across fields is the same: leveraging empathy and psychological research principles to bring human needs and experience into product design and development. This course will cover a range of research methods that apply to product design, predominantly through the lens of digital products (but applicable to other technologies). Key primary research methods will include contextual inquiry, expert interviews, diary studies, usability testing, cognitive walk throughs, A/B testing, and surveys. In order to ground these methods in theory, as well as provide practical experience, the course will be a blend of lecture, readings, discussion, and projects. The course is ideal for students with a social science background and an interest in applying this discipline to technology, or students who have had an introduction to research methods for product design and an interest in learning more. A background in statistical or data analysis is helpful but not compulsory.

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Summer 2023
    Time: 3A
    Location: –
    Instructors:

    Thayer Faculty


  • ENGS 16
    Biomedical Engineering for Global Health

    Description

    The past 20 years have seen an incredible amount of high-tech medical advances, but to what degree have these impacted the health of those living in the developing world? The potential for years of life gained through biomedical technology is tremendous in some of the world’s poorest regions, but appropriate design requires an understanding of the clinical, political, and cultural landscape, and a clean-slate approach to developing low-cost, effective tech. This course offers an exciting opportunity to understand how to design solutions for the most important health challenges of the developing world. Learning goals will be achieved through hands-on experience, including: a laboratory component where we deconstruct, design and build a low-cost medical device, case study discussions on successful global health innovations, and several “teardowns” of common medical devices. Lecturers from Thayer, Tuck School of Business, the Dartmouth Center for Health Care Delivery Science, and Geisel School of Medicine will cover complimentary topics in clinical medicine, healthcare delivery, innovation and medical imaging. A final project will bring everything together by addressing a real health problem with a prototype of a low-cost tech solution. Enrollment is limited to 40 students.

    Distribution Code

    TAS
  • ENGS 17
    Making Music: The Art, Science, and Symbolism of Musical Instruments

    Description

    A hands-on course in which students working in groups build and assemble simple musical instruments with the aim of understanding how materials, technologies, craftsmanship, and cultural knowledge interact in the conception, design, and production of diverse instruments around the world. Merging the methodologies of materials science and engineering with the approaches of arts and humanities, the course explores from an interdisciplinary perspective the social meanings and powers ascribed to musical instruments, and the way that instruments have come to function as potent symbols of personal, cultural, and political identity.

    Cross Listed Courses

    MUS 17.04/COCO 20
  • ENGS 18
    System Dynamics in Policy Design and Analysis

    Description

    This course introduces systems dynamics, an approach to policy design and analysis based upon feedback principles and computer simulation. The approach is useful for gaining an understanding of the underlying structural causes of problem behavior in social, economic, political, environmental, technological, and biological systems. Goals of this approach are to gain better understanding of such problem behaviors and to design policies aimed at improving them. Lectures and exercises illustrate applications of the approach to real, current problems such as urban decay, resource depletion, environmental pollution, product marketing and distribution, and agricultural planning in an expanding population. The similarity and transferability of underlying feedback characteristics among various applications is emphasized. No prior engineering or computer science experience is necessary.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 2A
    Location:

    MacLean B01

    Instructors:

    Steven O. Peterson


    Term: Winter 2023
    Time: 2A
    Location:

    MACLEAN B01 ZALESK

    Instructors:

    Steven O. Peterson


    Term: Winter 2024
    Time: 2A
    Location: –
    Instructors:

    Steven O. Peterson


  • ENGS 19.01
    Future of Energy Systems

    Description

    Energy production, distribution, and use is central to human activity. In many quarters, there is growing appreciation for the nexus among energy, climate change, the environment, and economic development. This course will focus on futures of energy as they impact, and are impacted by, these drivers. The course uses model-based approaches to develop global-scale energy scenarios and to explore the potential evolution of current and potential energy options in both localized and global settings.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 2A
    Location: –
    Instructors:

    Steven O. Peterson


    Term: Spring 2023
    Time: 2A
    Location:

    ECSC 042

    Instructors:

    Steven O. Peterson


    Term: Spring 2024
    Time: 2A
    Location: –
    Instructors:

    Steven O. Peterson


  • ENGS 20
    Introduction to Scientific Computing

    Description

    May not be taken under the Non-Recording Option This course introduces concepts and techniques for creating computational solutions to problems in engineering and science. The essentials of computer programming are developed using the C and Matlab languages, with the goal of enabling the student to use the computer effectively in subsequent courses. Programming topics include problem decomposition, control structures, recursion, arrays and other data structures, file I/O, graphics, and code libraries. Applications will be drawn from numerical solution of ordinary differential equations, root finding, matrix operations, searching and sorting, simulation, and data analysis. Good programming style and computational efficiency are emphasized. Although no previous programming experience is assumed, a significant time commitment is required. Students planning to pursue the engineering sciences major are advised to take ENGS 20. Students considering the computer science major or majors modified with computer science should take COSC 1 and COSC 10. Enrollment is limited to 50 students.

    Prerequisites

    MATH 3 and prior or concurrent enrollment in MATH 8

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10
    Location:

    Cummings 100 (Spanos)

    Instructors:

    Simon Shepherd


    Term: Spring 2022
    Time: 12
    Location: –
    Instructors:

    Helene Seroussi


    Term: Spring 2022
    Time: 11
    Location: –
    Instructors:

    Helene Seroussi


    Term: Fall 2022
    Time: 10
    Location:

    ECSC008

    Instructors:

    Helene Seroussi


    Term: Winter 2023
    Time: 10
    Location:

    ECSC 008

    Instructors:

    Helene Seroussi


    Term: Spring 2023
    Time: 12
    Location:

    ECSC 116

    Instructors:

    Petra Bonfert-Taylor


    Term: Fall 2023
    Time: 10
    Location: –
    Instructors:

    Simon Shepherd


    Term: Winter 2024
    Time: 10
    Location: –
    Instructors:

    Simon Shepherd


    Term: Spring 2024
    Time: 12
    Location: –
    Instructors:

    Helene Seroussi


    Term: Spring 2024
    Time: 11
    Location: –
    Instructors:

    Petra Bonfert-Taylor


  • ENGS 21
    Introduction to Engineering

    Description

    The student is introduced to engineering through participation, as a member of a team, in a complete design project. The synthesis of many fields involving the laws of nature, mathematics, economics, management, and communication is required in the project. Engineering principles of analysis, experimentation, and design are applied to a real problem, from initial concept to final recommendations. The project results are evaluated in terms of technical and economic feasibility and social significance. Lectures are directed toward the problem, with experiments designed by students as the need develops. Enrollment is limited to 64 students. Priority will be given to sophomores.

    Prerequisites

    MATH 3 or equivalent

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10A
    Location:

    Cummings 100 (Spanos)

    Instructors:

    Scott Snyder


    Term: Spring 2022
    Time: 10A
    Location: –
    Instructors:

    Elizabeth Murnane


    Term: Summer 2022
    Time: 10A
    Location:

    ECSC 008

    Instructors:

    Ian Baker


    Term: Fall 2022
    Time: 10A
    Location:

    ECSC116

    Instructors:

    Vicki V. May


    Term: Winter 2023
    Time: 10A
    Location:

    ECSC 116

    Instructors:

    Scott Snyder


    Term: Spring 2023
    Time: 10A
    Location:

    ECSC 116

    Instructors:

    Elizabeth Murnane


    Term: Spring 2023
    Time: 10A
    Location:

    ECSC B09

    Instructors:

    Vicki V. May


    Term: Summer 2023
    Time: 10A
    Location: –
    Instructors:

    Britt Goods


    Term: Fall 2023
    Time: 10A
    Location: –
    Instructors:

    Vicki V. May


    Term: Winter 2024
    Time: 10A
    Location: –
    Instructors:

    Scott Snyder


    Term: Spring 2024
    Time: 10A
    Location: –
    Instructors:

    Elizabeth Murnane


    Term: Summer 2024
    Time: 10A
    Location: –
    Instructors:

    Britt Goods


  • ENGS 22
    Systems

    Description

    The student is introduced to the techniques of modeling and analyzing lumped systems of a variety of types, including electrical, mechanical, reacting, fluid, and thermal systems. System input will be related to output through ordinary differential equations, which will be solved by analytical and numerical techniques. Systems concepts such as time constant, natural frequency, and damping factor are introduced. The course includes computer and laboratory exercises to enhance the students’ understanding of the principles of lumped systems. Students will develop the ability to write MATLAB code. Enrollment is limited to 50 students.
    Includes Lab

    Prerequisites

    MATH 13, PHYS 14, and ENGS 20

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 9L
    Location:

    Cummings 202

    Instructors:

    William J. Scheideler


    Term: Spring 2022
    Time: 10
    Location: –
    Instructors:

    John Zhang


    Term: Summer 2022
    Time: 10
    Location:

    ECSC 008

    Instructors:

    Peng P. Yu


    Term: Fall 2022
    Time: 2
    Location:

    MACLNB01 ZALESK

    Instructors:

    William J. Scheideler


    Term: Winter 2023
    Time: 9L
    Location:

    ECSC 008

    Instructors:

    Markus E. Testorf


    Term: Spring 2023
    Time: 9L
    Location:

    CUMMINGS 200

    Instructors:

    John Zhang

    Ulf L. Österberg


    Term: Summer 2023
    Time: 10
    Location: –
    Instructors:

    Peng P. Yu


    Term: Fall 2023
    Time: 2
    Location: –
    Instructors:

    Thayer Faculty


    Term: Winter 2024
    Time: 9L
    Location: –
    Instructors:

    Thayer Faculty


    Term: Spring 2024
    Time: 9L
    Location: –
    Instructors:

    William J. Scheideler


  • ENGS 23
    Distributed Systems and Fields

    Description

    A study of the fundamental properties of distributed systems and their description in terms of scalar and vector fields. After a summary of vector-field theory, the formulation of conservation laws, source laws, and constitutive equations is discussed. Energy and force relations are developed and the nature of potential fields, wave fields, and diffusion fields is examined. A survey of elementary transport processes is given. Particular attention is given to the relation between the description of systems in terms of discrete and distributed parameters. Applications are chosen primarily from fluid mechanics, electromagnetic theory, and heat transfer. Includes a set of laboratories.
    Includes Lab

    Prerequisites

    ENGS 22, or equivalent

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 11
    Location:

    MacLean B01

    Instructors:

    Ulf L. Österberg


    Term: Spring 2022
    Time: 9L
    Location: –
    Instructors:

    Ulf L. Österberg


    Term: Fall 2022
    Time: 2
    Location:

    CUMMGS200

    Instructors:

    Mattias W. Fitzpatrick


    Term: Winter 2023
    Time: 11
    Location:

    CUMMINGS 200

    Instructors:

    Ulf L. Österberg


    Term: Spring 2023
    Time: 9L
    Location:

    MACLEAN B01 ZALESK

    Instructors:

    Mattias W. Fitzpatrick


    Term: Fall 2023
    Time: 2
    Location: –
    Instructors:

    Ulf L. Österberg


    Term: Winter 2024
    Time: 11
    Location: –
    Instructors:

    Ulf L. Österberg


    Term: Spring 2024
    Time: 9L
    Location: –
    Instructors:

    Mattias W. Fitzpatrick


  • ENGS 24
    Science of Materials

    Description

    An introduction to the structure/property relationships, which govern the mechanical, the thermal, and the electrical behavior of solids (ceramics, metals, and polymers). Topics include atomic, crystalline, and amorphous structures; X-ray diffraction; imperfections in crystals; phase diagrams; phase transformations; elastic and plastic deformation; free electron theory and band theory of solids; electrical conduction in metals and semi-conductors. The laboratory consists of an experimental project selected by the student and approved by the instructor.
    Includes Lab

    Prerequisites

    PHYS 14 and CHEM 5

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10
    Location:

    MacLean B01

    Instructors:

    Hui Fang

    Daniel C. Cullen


    Term: Spring 2022
    Time: 10
    Location: –
    Instructors:

    Jifeng Liu

    Daniel C. Cullen


    Term: Summer 2022
    Time: 11
    Location:

    MacLean 132

    Instructors:

    Harold J. Frost

    Daniel C. Cullen


    Term: Winter 2023
    Time: 10
    Location:

    MACLEAN B01 ZALESK

    Instructors:

    Weiyang Li

    Daniel C. Cullen


    Term: Spring 2023
    Time: 10
    Location:

    ECSC 008

    Instructors:

    Hui Fang


    Term: Summer 2023
    Time: 11
    Location: –
    Instructors:

    Weiyang Li

    Thayer Faculty


    Term: Winter 2024
    Time: 10
    Location: –
    Instructors:

    Geoffroy T. F. Hautier

    Thayer Faculty


    Term: Spring 2024
    Time: 10
    Location: –
    Instructors:

    Erland M. Schulson

    Thayer Faculty


  • ENGS 25
    Introduction to Thermodynamics

    Description

    The fundamental concepts and methods of thermodynamics are developed around the first and second laws. The distinctions between heat, work, and energy are emphasized. Common processes for generating work, heat, or refrigeration or changing the physical or chemical state of materials are analyzed. The use of thermodynamic data and auxiliary functions such as entropy, enthalpy, and free energy are integrated into the analysis. The numerous problems show how theoretical energy requirements and the limitations on feasible processes can be estimated. Enrollment is limited to 60 students.

    Prerequisites

    MATH 13, PHYS 13, ENGS 20 or COSC 1 and COSC 10

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 11
    Location:

    MacLean 132

    Instructors:

    Mark S. Laser


    Term: Spring 2022
    Time: 2
    Location: –
    Instructors:

    Lee R. Lynd


    Term: Summer 2022
    Time: 2A
    Location:

    ECSC 116

    Instructors:

    Kimberley Samkoe


    Term: Winter 2023
    Time: 11
    Location:

    MACLEAN 142

    Instructors:

    Mark S. Laser


    Term: Spring 2023
    Time: 2
    Location:

    MACLEAN 132

    Instructors:

    Xin Qi


    Term: Summer 2023
    Time: 10A
    Location: –
    Instructors:

    Harold J. Frost


    Term: Winter 2024
    Time: 11
    Location: –
    Instructors:

    Mark S. Laser


    Term: Spring 2024
    Time: 2
    Location: –
    Instructors:

    Thayer Faculty


  • ENGS 26
    Control Theory

    Description

    The course treats the design of analog, lumped parameter systems for the regulation or control of a plant or process to meet specified criteria of stability, transient response, and frequency response. The basic theory of control system analysis and design is considered from a general point of view. Mathematical models for electrical, mechanical, chemical, and thermal systems are developed. Feedback-control system design procedures are established, using root-locus and frequency response methods.

    Prerequisites

    ENGS 22

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 9L
    Location: –
    Instructors:

    Laura E. Ray


    Term: Fall 2022
    Time: 9L
    Location:

    MACLN132

    Instructors:

    Laura E. Ray


    Term: Spring 2023
    Time: 9L
    Location:

    ECSC 008

    Instructors:

    Minh Q. Phan


    Term: Fall 2023
    Time: 9L
    Location: –
    Instructors:

    Minh Q. Phan


    Term: Spring 2024
    Time: 9L
    Location: –
    Instructors:

    Laura E. Ray


  • ENGS 27
    Discrete and Probabilistic Systems

    Description

    This course is an introduction to probabilistic methods for modeling, analyzing, and designing systems. Mathematical topics include the fundamentals of probability, random variables and common probability distributions, basic queueing theory, and stochastic simulation. Applications, drawn from a variety of engineering settings, may include measurement and noise, information theory and coding, computer networks, diffusion, fatigue and failure, reliability, statistical mechanics, ecology, decision making, and robust design.

    Prerequisites

    MATH 8 and either ENGS 20 or COSC 1 and COSC 10. PHYS 13 or CHEM 5 recommended.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Summer 2022
    Time: 2
    Location:

    ECSC 116

    Instructors:

    George Cybenko


    Term: Fall 2022
    Time: 10
    Location:

    MACLNB01 ZALESK

    Instructors:

    George Cybenko


    Term: Summer 2023
    Time: 2
    Location:

    ECSC 116

    Instructors:

    George Cybenko


    Term: Fall 2023
    Time: 10
    Location: –
    Instructors:

    George Cybenko


  • ENGS 28
    Embedded Systems

    Description

    A vast number of everyday products, from home appliances to automobiles, are controlled by small embedded computers, invisible to the user. This course introduces, at an elementary level, the three basic components of all such embedded systems: sensors to measure the physical environment, actuators to produce the system behavior, and a microcontroller that processes the sensor data and controls the actuators. Topics: microcontroller architecture and programming, writing embedded software, analog- to-digital and digital-to-analog conversion, interfacing sensors and actuators, and data communication. There are daily in-class design exercises and weekly labs. Enrollment is limited.
    Includes Lab

    Prerequisites

    ENGS 20 or COSC 10; and PHYS 14 (may be taken concurrently)

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 3B
    Location:

    MacLean 132

    Instructors:

    Eric W. Hansen


    Term: Winter 2023
    Time: 2A
    Location:

    ECSC 008

    Instructors:

    Petra Bonfert-Taylor


    Term: Winter 2024
    Time: 3B
    Location: –
    Instructors:

    Petra Bonfert-Taylor

    Thayer Faculty


  • ENGS 29
    Computer-Aided Design & Kinematics

    Description

    This course introduces computer-aided design and kinematics applied to study the geometry of motion in linkage systems that are components of machines ranging from vehicle suspensions to robotic arms. The principles and methods introduced include capturing design intent in parametric models, design communication with mechanical drawings, computer-based kinematic design, and design validation with rapid prototyping. A series of project-based learning activities focus on the design of linkage mechanisms to control the leg movements of walking machines where the objective is to transform the rotation of an input crank into a desired walking movement for the legs. The course aims to develop spatial and geometric thinking abilities while practicing mechanical design within constraints and building prototypes of increasingly complicated walking mechanisms. The lessons and projects examine technologies that surround us and art that explores the boundary of mechanical animals and life.

    Prerequisites

    ENGS 021

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2024
    Time: 9L
    Location: –
    Instructors:

    Solomon G. Diamond


  • ENGS 30
    Biological Physics

    Description

    Introduction to the principles of physics and engineering applied to biological problems. Topics include the architecture of biological cells, molecular motion, entropic forces, enzymes and molecular machines, and nerve impulses. Enrollment is limited to 20 students.

    Prerequisites

    CHEM 5, PHYS 13 and PHYS 14 (or equivalent). PHYS 14 (or equivalent) may be taken concurrently. Students with strong quantitative skills who have taken PHYS 3 and PHYS 4 can enroll with permission of the instructor.

    Cross Listed Courses

    PHYS 30

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10
    Location:

    Cummings 202

    Instructors:

    Kimberley Samkoe


    Term: Winter 2023
    Time: 10
    Location:

    CUMMINGS 202

    Instructors:

    Kimberley Samkoe


    Term: Winter 2024
    Time: 10
    Location: –
    Instructors:

    Kimberley Samkoe


  • ENGS 31
    Digital Electronics

    Description

    This course teaches classical switching theory, including Boolean algebra, logic minimization, algorithmic state machine abstractions, and synchronous system design. This theory is then applied to digital electronic design. Techniques of logic implementation, from small scale integration (SSI) through application-specific integrated circuits (ASICs), are encountered. There are weekly laboratory exercises for the first part of the course, followed by a digital design project in which the student designs and builds a large system of his or her choice. In the process, computer-aided design (CAD) and construction techniques for digital systems are learned. Enrollment is limited to 60 students.
    Includes Lab

    Prerequisites

    ENGS 20 or COSC 1 and COSC 10

    Cross Listed Courses

    COSC 56

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 12
    Location: –
    Instructors:

    Geoffrey P. Luke


    Term: Summer 2022
    Time: 12
    Location:

    ECSC 008

    Instructors:

    Benjamin Livingston Dobbins


    Term: Spring 2023
    Time: 12
    Location:

    ECSC 008

    Instructors:

    Geoffrey P. Luke


    Term: Summer 2023
    Time: 12
    Location: –
    Instructors:

    Tad Truex


    Term: Spring 2024
    Time: 12
    Location: –
    Instructors:

    Geoffrey P. Luke


  • ENGS 32
    Electronics: Introduction to Linear and Digital Circuits

    Description

    Principles of operation of semiconductor diodes, bipolar and field-effect transistors, and their application in rectifier, amplifier, waveshaping, and logic circuits. Basic active-circuit theory. Introduction to integrated circuits: the operational amplifier and comparator, to include practical considerations for designing circuits with off-the shelf components. Emphasis on breadth of coverage of low-frequency linear and digital networks, as well as on high order passive and active filter design. Laboratory exercises permit "hands-on" experience in the analysis and design of simple electronic circuits. The course is designed for two populations: a) those desiring a single course in basic electronics, and b) those that need the fundamentals necessary for further study of active circuits and systems.
    Includes Lab

    Prerequisites

    ENGS 22, or equivalent background in basic circuit theory

    Cross Listed Courses

    PHYS 048

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 11
    Location:

    Cummings 118

    Instructors:

    Kofi M. Odame


    Term: Fall 2022
    Time: 10
    Location:

    MACLEAN132

    Instructors:

    Jason T. Stauth


    Term: Spring 2023
    Time: 11
    Location:

    ECSC 008

    Instructors:

    Charles R. Sullivan


    Term: Fall 2023
    Time: 10
    Location: –
    Instructors:

    Kofi M. Odame


    Term: Spring 2024
    Time: 11
    Location: –
    Instructors:

    Jason T. Stauth


  • ENGS 33
    Solid Mechanics

    Description

    After a brief review of the concepts of rigid body statics, the field equations describing the static behavior of deformable elastic solids are developed. The stress and strain tensors are introduced and utilized in the development. Exact and approximate solutions of the field equations are used in the study of common loading cases, including tension/compression, bending, torsion, pressure, and combinations of these. In the laboratory phase of the course, various methods of experimental solid mechanics are introduced. Some of these methods are used in a project in which the deformation and stress in an actual load system are determined and compared with theoretical predictions. The course includes a series of computer exercises designed to enhance the student's understanding of the principles of solid mechanics.
    Includes Lab
    Design Credit

    Prerequisites

    MATH 13 and PHYS 13

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 12
    Location:

    MacLean 132

    Instructors:

    Yan Li


    Term: Summer 2022
    Time: cancelled
    Location: –
    Instructors:

    Thayer Faculty


    Term: Fall 2022
    Time: 11
    Location:

    MACLNB01 ZALESK

    Instructors:

    Yan Li


    Term: Winter 2023
    Time: 12
    Location:

    ECSC 008

    Instructors:

    Scott Snyder


    Term: Summer 2023
    Time: 9L
    Location: –
    Instructors:

    Daniel C. Cullen


    Term: Fall 2023
    Time: 11
    Location: –
    Instructors:

    Yan Li


    Term: Winter 2024
    Time: 11
    Location: –
    Instructors:

    Scott Snyder


  • ENGS 34
    Fluid Mechanics

    Description

    We interact with fluids every day. From complex systems such as cars, airplanes, and chemical plants, to simple devices like a bike pump, our world is filled with engineering applications that make use of the principles of fluid mechanics. This course surveys the fundamental concepts, phenomena, and methods in fluid mechanics, as well as their application in engineered systems and in nature. Emphasis is placed on the development and use of conservation laws for mass, momentum, and energy, as well as on the empirical knowledge essential to the understanding of many fluid dynamic phenomena. Examples are drawn from mechanical, chemical, civil, environmental, biomedical, and aerospace engineering.
    Includes Lab

    Prerequisites

    ENGS 23 or equivalent

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 9L
    Location: –
    Instructors:

    Colin R. Meyer


    Term: Spring 2023
    Time: 9L
    Location:

    ECSC 009

    Instructors:

    Colin R. Meyer


    Term: Spring 2024
    Time: 9L
    Location: –
    Instructors:

    Colin R. Meyer


  • ENGS 35
    Biotechnology and Biochemical Engineering

    Description

    A consideration of the engineering and scientific basis for using cells or their components in engineered systems. Central topics addressed include kinetics and reactor design for enzyme and cellular systems; fundamentals, techniques, and applications of recombinant DNA technology; and bioseparations. Additional lectures will provide an introduction to metabolic modeling as well as special topics. The course is designed to be accessible to students with both engineering and life-science backgrounds. This course has a graduate section, ENGS 160. Enrollment is limited to 20 students.
    Includes Lab

    Prerequisites

    MATH 3, CHEM 5, BIOL 12 or BIOL 13 or permission

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 10A
    Location:

    MACLN201 RETTS

    Instructors:

    Tillman U. Gerngross


    Term: Fall 2023
    Time: 10A
    Location: –
    Instructors:

    Tillman U. Gerngross


  • ENGS 36
    Chemical Engineering

    Description

    This course will expose students to the fundamental principles of chemical engineering and the application of these principles to a broad range of systems. In the first part of the course, aspects of chemical thermodynamics, reaction kinetics, and transport phenomena will be addressed. These principles will then be applied to a variety of systems including industrial, environmental, and biological examples

    Prerequisites

    ENGS 22, ENGS 25 and CHEM 5

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 10A
    Location:

    CUMMGS118

    Instructors:

    Jiwon Lee


    Term: Fall 2023
    Time: 10A
    Location: –
    Instructors:

    Jiwon Lee


  • ENGS 37
    Introduction to Environmental Engineering

    Description

    A survey of the sources, measurement techniques, and treatment technologies relating to environmental pollution resulting from the activities of humans. The course will be technology-focused, but will also touch on topics related to the implementation of technology in the real world such as public perception, policy and legislation, and choosing between technological alternatives. Technological and other issues will be addressed relating to water pollution, air pollution, solid wastes, and the fate and transport of pollutants in the environment. Consideration of each area will include general background and key concepts, detailed design examples of importance in the area, and case studies/current topics. The course will include guest lecturers.

    Prerequisites

    MATH 3 and CHEM 5, or equivalent, or permission

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: Germany
    Location: –
    Instructors:

    Petra Bonfert-Taylor


    Term: Fall 2022
    Time: 10
    Location:

    CUMMGS200

    Instructors:

    Benoit Cushman-Roisin


    Term: Fall 2023
    Time: 10
    Location: –
    Instructors:

    Benoit Cushman-Roisin


  • ENGS 41
    Sustainability and Natural Resource Management

    Description

    Natural resources sustain human productivity. Principles of scientific resource management are established, including mathematical model development based on material balances and decision making based on dynamical and stochastic systems. Three generic categories of resource are analyzed: exhaustible, living, and renewable. In the first category, we emphasize the life-cycle of exploitation including exhaustion, exploration and substitution. In the living category, we explore population dynamics under natural and harvested regimes, for fisheries, fowl and forests. The renewable case of water is treated in terms of quantity and quality. Finally, air quality management is considered through the lens of assimilative capacity. Throughout, the intersection of natural processes and economic incentives is explored with dynamical systems theory, computer simulations, and optimization techniques. Case studies illustrate contemporary management problems and practices.

    Prerequisites

    MATH 23 or ENGS 22, and ENGS 37

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 12
    Location:

    Cummings 118

    Instructors:

    Benoit Cushman-Roisin


    Term: Winter 2023
    Time: 12
    Location:

    CUMMINGS 118

    Instructors:

    Benoit Cushman-Roisin


    Term: Winter 2024
    Time: 12
    Location: –
    Instructors:

    Benoit Cushman-Roisin


  • ENGS 43
    Environmental Transport and Fate

    Description

    Introduction to the movement and transformation of contaminants released in soils, rivers, and the atmosphere. Fundamentals of advective-dispersive reactive transport, including approaches for assessing and parameterizing the complex heterogeneity and anisotropy of natural media. Analysis of mixing processes that lead to dispersion at larger spatial and temporal scales. Basic principles are illustrated by application to real world examples of groundwater, river, and atmospheric pollution.

    Prerequisites

    MATH 8 or equivalent and either ENGS 37 or EARS 16

    Cross Listed Courses

    EARS 66.01

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2024
    Time: Arrange
    Location: –
    Instructors:

    A&S Staff


  • ENGS 44
    Sustainable Design

    Description

    This course is an interdisciplinary introduction to the principles of design for sustainability, with emphasis on the built environment. Through lectures, readings, discussions, and a major design project, students learn to design buildings and other infrastructure with low to no impact on the environment. Emphasis is on creative thinking, strategies for managing the complexity of the product life cycle of the infrastructure, and the thorough integration of human and economic aspects in the design. Homework and project activities provide practice in relevant engineering analysis. Enrollment is limited to 20 students.

    Prerequisites

    ENGS 21 and ENGS 22 or SART 65

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 10A
    Location: –
    Instructors:

    Karolina Kawiaka


    Term: Spring 2023
    Time: 10A
    Location:

    CUMMINGS 118

    Instructors:

    Karolina Kawiaka


    Term: Spring 2024
    Time: 2
    Location: –
    Instructors:

    Karolina Kawiaka


  • ENGS 45
    Sustainable Urban Systems

    Description

    Today, more than 50% of the world population lives in cities on less than 2% of the planetary surface. This urbanization is expected to remain a megatrend for the next decades. The resulting concentration of infrastructure and activities has created human ecosystems distinct from natural ecosystems, and their future depends not only on their internal sustainability but also on symbiotic interactions with the natural ecosystems on which they ultimately depend. This engineering course addresses the technological aspects of urban sustainability, including energy procurement, energy consumption and green energy, air quality, water supply, use and treatment, building infrastructure, transportation, resource conservation, decarbonization, city planning and the role of automation and information technology in modern sustainable cities. In the context of the triple bottom line (the framework that considers financial, social and environmental impacts), the course further addresses, but to a lesser extent, the aspects of sustainable economics and urban social wellbeing and cities as a hub for innovation. Berlin - as a rapidly growing dynamic urban space - has experimented with several solutions and has made significant progress toward sustainability. In Berlin, sustainability is a lived practice where green living deeply permeates everyday life. As such, Berlin presents a unique and unparalleled opportunity to study and understand the green system that is given by this environmentally friendly city. Berlin will be used extensively as an example and site for field work throughout the course. Institutions and political decisions which facilitated advancement of urban sustainability in Berlin will be addressed and their impact will be made visible during the field trips. The course is geared toward engineering majors who have previously taken the course ENGS 37, an introduction to environmental engineering, and develops the students’ proficiency, solution design and quantification abilities across a wide range of issues regarding sustainable cities.

    Prerequisites

    ENGS 37 (may be taken concurrently)

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: –
    Location: –
    –

  • ENGS 46
    Advanced Hydrology

    Description

    A survey of advanced methods used to analyze the occurrence and movement of water in the natural environment. The watershed processes controlling the generation of runoff and streamflow are highlighted and used to explore the transport and fate of sediment and contaminants in watersheds. Throughout the course the ideas and concepts are explored through the primary literature, with emphasis given to methods of observation, measurement, data analysis, and prediction.

    Prerequisites

    MATH 3 and EARS 16 or 33 or BIO 53 or ENGS 43 or permission of instructor

    Cross Listed Courses

    EARS 76

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2024
    Time: Arrange
    Location: –
    Instructors:

    A&S Staff


  • ENGS 50
    Software Design and Implementation

    Description

    Techniques for building large, reliable, maintainable, and understandable software systems. Topics include UNIX tools and filters, programming in C, software testing, debugging, and teamwork in software development. Concepts are reinforced through a small number of medium-scale programs and one team programming project.
    Includes Lab

    Prerequisites

    COSC 10 or equivalent

    Cross Listed Courses

    COSC 050

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 11
    Location:

    ECSC116

    Instructors:

    A&S Staff


    Term: Winter 2023
    Time: 10A
    Location:

    MACLEAN 210

    Instructors:

    Stephen Taylor


    Term: Winter 2023
    Time: 9L
    Location:

    ECSC 116

    Instructors:

    A&S Staff


    Term: Spring 2023
    Time: 9L
    Location:

    ECSC 116

    Instructors:

    A&S Staff


  • ENGS 52
    Introduction to Operations Research

    Description

    Basic concepts of optimization are introduced as aids in systematic decision making in engineering contexts. Deterministic optimization is developed in the form of linear and integer programming and their extensions. Probabilistic models are introduced in terms of Markov chains, queuing and inventory theory, and stochastic simulation. The course emphasizes the application of these methods to the design, planning, and operation of complex industrial and public systems.

    Prerequisites

    MATH 8 and MATH 22 or equivalent

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10A
    Location:

    MacLean B01

    Instructors:

    Eugene Santos


    Term: Winter 2023
    Time: 2A
    Location:

    ECSC 041

    Instructors:

    Thayer Faculty


    Term: Winter 2024
    Time: 10A
    Location: –
    Instructors:

    Eugene Santos


  • ENGS 56
    Introduction to Biomedical Engineering

    Description

    This course will survey applications of engineering principles to medical diagnosis/treatment of disease, monitoring/measurement of physiological function, and rehabilitation/replacement of body dysfunction. Case studies will be used to highlight how engineering has advanced medical practice and understanding. Examples will be drawn from bioinstrumentation, bioelectricity, biotransport, biomaterials, and biomechanics. While investigations will focus primarily on the engineering aspects of related topics, issues surrounding patient safety, public policy and regulation, animal experimentation, etc., will be discussed as appropriate.

    Prerequisites

    ENGS 22, PHYS 13 and PHYS 14 (PHYS 14 may be taken concurrently)

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 2
    Location: –
    Instructors:

    P. Jack Hoopes

    Katherine R. Hixon


    Term: Spring 2023
    Time: 2
    Location:

    ECSC 009

    Instructors:

    Katherine R. Hixon


    Term: Fall 2023
    Time: 2
    Location: –
    Instructors:

    Katherine R. Hixon


    Term: Spring 2024
    Time: 2
    Location: –
    Instructors:

    P. Jack Hoopes


  • ENGS 57
    Intermediate Biomedical Engineering

    Description

    The basic biomedical engineering concepts introduced in ENGS 56 will serve as the foundation for exploring technology in a clinical environment. The specific clinical setting to be explored will be the operating room (OR). This course will introduce a variety of surgical procedures and technologies from an engineering perspective. Areas of focus will include patient monitoring, biophysical tissue properties, general surgical instrumentation, tissue cutting and binding technologies, and optical visualization technologies. In addition, state-of-the-art procedures employing image-guided, minimally invasive, laparoscopic, and robot-assisted surgical technologies will be discussed. The first half of the term will include weekly seminars presented by surgeons describing a particular surgical procedure, the technologies currently used and a surgeon’s “wish-list”. During the second half of the term, students will undertake a design project aimed at developing a technology that addresses a specific need within the OR. Enrollment is limited to 18 students.

    Prerequisites

    ENGS 23 and ENGS 56 or equivalent

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 10
    Location: –
    Instructors:

    Ryan J. Halter


    Term: Spring 2023
    Time: 10
    Location:

    CUMMINGS 202

    Instructors:

    Ryan J. Halter


    Term: Spring 2024
    Time: 10
    Location: –
    Instructors:

    Ryan J. Halter


  • ENGS 58
    Introduction to Protein Engineering

    Description

    Engineered biomolecules are powering an array of innovations in biotechnology, and this course will familiarize students with key developments in the field. An overview of foundational principles will cover concepts such as the central dogma of biology, atomic scale forces in protein structures, and protein structure-function relationships. Strategies for modifying protein structures will be surveyed, with a particular emphasis on genetic techniques. The development of proteins with practical utility will be highlighted using case studies.
    Culminating Experience
    Design Credit

    Prerequisites

    ENGS 35 or CHEM 41

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 2
    Location:

    Cummings 202

    Instructors:

    Britt Goods


    Term: Winter 2023
    Time: 2
    Location:

    CUMMINGS 202

    Instructors:

    Britt Goods


    Term: Winter 2024
    Time: 2
    Location: –
    Instructors:

    Karl E. Griswold


  • ENGS 59
    Basic Biological Circuit Engineering

    Description

    This course will provide a comprehensive introduction to the design, modeling, and experimental implementation of synthetic bio-molecular circuits in living cells at an undergraduate level. Simple but sophisticated synthetic biological circuits will be implemented and tested in microbial cells in the laboratory including those involving molecular amplification, regulatory feedback loops with biological nonlinearities, and robust analog circuits. Computer aided design, modeling, and simulation will use CADENCE, an industry standard electronic circuit design laboratory tool. It will show them how to design, model, and fit actual experimental biological data such that engineering circuit theory and biological experiment agree.
    Includes Lab
    Design Credit

    Prerequisites

    ENGS 22 or Permission of Instructor. Experience in Molecular Biology is useful (e.g. ENGS 35, BIOL 45, & BIOL 46 or equivalent) but not necessary.

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 11
    Location:

    Cummings 202

    Instructors:

    Rahul Sarpeshkar


    Term: Winter 2023
    Time: 11
    Location:

    ECSC 041

    Instructors:

    Rahul Sarpeshkar


    Term: Winter 2024
    Time: 11
    Location: –
    Instructors:

    Rahul Sarpeshkar


  • ENGS 60
    Introduction to Solid-State Electronic Devices

    Description

    In this course the physical and operational principles behind important electronic devices such as the solar cell and transistor are introduced. Semiconductor electron and hole concentrations and carrier transport are discussed. Carrier generation and recombination including optical absorption and light emission are covered. P-N junction operation and its application to diodes, solar cells, LEDs, and photodiodes is developed. The field-effect transistor (FET) and bipolar junction transistor (BJT) are then discussed and their terminal operation developed. Application of transistors to bipolar and CMOS analog and digital circuits is introduced. The course is primarily intended for students interested in electronics, including digital, analog, power and energy, both at component and integrated circuit levels. The course may also be useful to students interested in electronic materials, device microfabrication and communications.
    Includes Lab

    Prerequisites

    ENGS 23

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10A
    Location:

    Cummings 105

    Instructors:

    Eric R. Fossum


    Term: Winter 2023
    Time: 10A
    Location:

    CUMMINGS 105

    Instructors:

    Eric R. Fossum


    Term: Winter 2024
    Time: 10A
    Location: –
    Instructors:

    Eric R. Fossum


  • ENGS 61
    Intermediate Electrical Circuits

    Description

    This course will build on ENGS 32, providing a foundation for transistor- level analog and digital circuit design. The course will start with an introduction to the Semiconductor Industry and how it has dramatically altered the modern way of life, resulting in diverse technologies from the iPhone and Facebook to LED lighting and electric transportation. This will lead into basic semiconductor theory and CMOS device models, two-port linearized models, and finally single- and multi-stage amplifiers with applications motivated by wireless communications and biomedical instrumentation. The second half of the class will focus on digital circuits. Topics will include designing and optimizing complex static CMOS in terms of energy, delay, and area for computational blocks and memory arrays (SRAM, DRAM, and FLASH). The class will have weekly labs and a final project that will utilize modern computeraided design tools (Cadence). The course will prepare the student for advanced study of highly integrated electrical circuits.
    Includes Lab
    Culminating Experience

    Prerequisites

    ENGS 32

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 12
    Location: –
    Instructors:

    Jason T. Stauth


    Term: Spring 2024
    Time: 12
    Location: –
    Instructors:

    Jason T. Stauth


  • ENGS 62
    Microprocessors in Engineered Systems

    Description

    Microprocessors and microcomputers are central components in an ever-increasing number of consumer, industrial, and scientific products. This course extends the experimental design methodology developed in ENGS 50 to state-of-the-art System-on-Chip (SoC) architectures and explores the principles behind advanced embedded systems. SoC devices are highly-integrated components that combine high-performance multi-core processors, with Field Programmable Gate Array (FPGA), and a broad selection of industry standard peripheral interfaces -- all within a single chip. Students are introduced to concepts of event-driven finites state machines, peripheral interfacing via the processor and the FPGA fabric, and advanced hardware-software co-design tools that speed the design process. The course is based on a sequence of laboratory projects that incorporate SoC programming practices and debugging strategies, interrupt handling, FPGA and bus interfaces, and attached peripheral devices.
    Includes Lab
    Culminating Experience

    Prerequisites

    ENGS 50

    Distribution Code

    TLA

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 2A
    Location:

    Cummings 118

    Instructors:

    Stephen Taylor


    Term: Winter 2023
    Time: 2A
    Location:

    MACLEAN 210

    Instructors:

    Stephen Taylor


    Term: Winter 2024
    Time: 2A
    Location: –
    Instructors:

    Stephen Taylor


  • ENGS 64
    Engineering Electromagnetics

    Description

    Conceptual development, techniques and engineering applications in electrostatics, magnetostatics and magnetic induction; displacement current and Maxwell’s equations; transmission line analysis; propagation, reflection, refraction and dispersion of electromagnetic waves.

    Prerequisites

    ENGS 23

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 11
    Location:

    ECSC009

    Instructors:

    Fridon Shubitidze


    Term: Fall 2023
    Time: 11
    Location: –
    Instructors:

    Fridon Shubitidze


  • ENGS 65
    Engineering Software Design

    Description

    As a successor to ENGS 20, this course covers intermediate topics in programming and software design with an emphasis on engineering applications. Students will learn software design principles and basic data structures. Topics covered will include object-oriented design, user interface design, lists, stacks, queues, binary trees, hash tables, and simulation. Students will learn techniques for developing maintainable, extensible, and understandable software.

    Prerequisites

    ENGS 20 or COSC 1 and COSC 10

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 3B
    Location:

    Cummings 118

    Instructors:

    Eugene Santos


    Term: Winter 2024
    Time: 3B
    Location: –
    Instructors:

    Eugene Santos


  • ENGS 66
    Discrete Mathematics in Computer Science

    Description

    This course integrates discrete mathematics with algorithms and data structures, using computer science applications to motivate the mathematics. It covers logic and proof techniques, induction, set theory, counting, asymptotics, discrete probability, graphs, and trees.

    Prerequisites

    ENGS 20 or COSC 1 and COSC 10 or advanced placement

    Cross Listed Courses

    COSC 030

    Distribution Code

    QDS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 2
    Location: –
    Instructors:

    A&S Staff


    Term: Summer 2022
    Time: 10
    Location:

    MacLean MB01

    Instructors:

    A&S Staff


    Term: Fall 2022
    Time: 11
    Location:

    ROCKFL003

    Instructors:

    A&S Staff


    Term: Fall 2022
    Time: 12
    Location:

    ROCKFL003

    Instructors:

    A&S Staff


    Term: Winter 2023
    Time: Arrange
    Location:

    CUMMINGS 200

    Instructors:

    A&S Staff


    Term: Spring 2023
    Time: 2
    Location:

    ECSC 116

    Instructors:

    A&S Staff


    Term: Fall 2023
    Time: Arrange
    Location: –
    Instructors:

    A&S Staff


  • ENGS 67
    Programming Parallel Systems

    Description

    Multi-core processors are now ubiquitous in most personal computers. These are the fundamental computer-engineering building blocks for high-performance servers, blade farms, and cloud computing. In order to utilize these devices in large systems they must be interconnected through networking and collectively programmed. This hands-on system-engineering course offers students the opportunity to explore problem-solving techniques on a high-performance multi-computer containing multi-core processors. The course involves weekly programming laboratories that teach POSIX thread, UDP and TCP network, and MPI style programming techniques. These techniques are explored in the context of scalable problem solving methods applied to typical problems in science and engineering ranging from client-server sensing and data repositories, to numerical methods, gaming and decision support. All laboratories will be conducted in the C programming language and proficiency in C is required. Enrollment is limited to 30 students.
    Includes Lab
    Culminating Experience

    Prerequisites

    Prerequisite: ENGS 20 or COSC 50

    Cross Listed Courses

    COSC 063

    Distribution Code

    TLA

    Notes

    Not offered 2021-2023

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: – 2023
    Time: –
    Location: –
    Instructors:

    A&S Staff


    Term: – 2024
    Time: –
    Location: –
    Instructors:

    A&S Staff


  • ENGS 68
    Introduction to Communication Systems

    Description

    This course provides an introduction to communication systems. The focus is on the deterministic aspects of analog and digital systems. The student is introduced to modeling and analyzing signals in the time and frequency domains. Modulation techniques are addressed as well as sampling, multiplexing, line coding, and pulse shaping. Recent developments in communication systems are briefly discussed.

    Prerequisites

    ENGS 22, ENGS 27 and ENGS 92.

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: Cancelled
    Location:

    Cancelled

    Instructors:

    Markus E. Testorf


    Term: Winter 2023
    Time: 2
    Location:

    CUMMINGS 102

    Instructors:

    Markus E. Testorf


    Term: Spring 2024
    Time: 2
    Location: –
    Instructors:

    Thayer Faculty


  • ENGS 69
    Smartphone Programming

    Description

    This course teaches students how to design, implement, test, debug and publish smartphone applications. Topics include development environment, phone emulator, key programming paradigms, UI design including views and activities, data persistence, messaging and networking, embedded sensors, location based services (e.g., Google Maps), cloud programming, and publishing applications. Concepts are reinforced through a set of weekly programming assignments and group projects. Enrollment is limited to 50 students.

    Prerequisites

    COSC 10

    Cross Listed Courses

    COSC 065

    Distribution Code

    TAS

    Notes

    Course Not offered in the 23-24 Academic Year

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: Arrange
    Location: –
    Instructors:

    A&S Staff


    Term: Fall 2022
    Time: Arrange
    Location: –
    Instructors:

    A&S Staff


  • ENGS 71
    Structural Analysis

    Description

    An introduction to the behavior of structural systems (including examples of buildings, space structures, and mechanical systems), with an emphasis on modeling and approximating behavior. Classical and computational analysis methods for structural load flow through basic three-dimensional structures; methods of approximating the response of planar structures; methods of determining deformations in planar, statically determinate structure; actions and deformations in statically indeterminate structures, using both flexibility/compatibility methods and stiffness/equilibrium methods (including an introduction to matrix methods). A structural system of choice will be redesigned to improve performance.

    Prerequisites

    ENGS 20 or COSC 1 and COSC 10 and ENGS 33

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 10
    Location: –
    Instructors:

    Vicki V. May


    Term: Spring 2023
    Time: 10
    Location:

    MACLEAN 132

    Instructors:

    Vicki V. May


    Term: Spring 2024
    Time: 10
    Location: –
    Instructors:

    Vicki V. May


  • ENGS 72
    Applied Mechanics: Dynamics

    Description

    The fundamentals of dynamics with emphasis on their application to engineering problems. Newtonian mechanics including kinematics and kinetics of particles and rigid bodies, work, energy, impulse, and momentum. Intermediate topics will include Lagrange's equations, energy methods, Euler's equations, rigid body dynamics, and the theory of small oscillations.

    Prerequisites

    ENGS 22

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 9L
    Location:

    Cummings 118

    Instructors:

    Michael A. Kokko


    Term: Winter 2023
    Time: 9L
    Location:

    CUMMINGS 118

    Instructors:

    Michael A. Kokko


    Term: Winter 2024
    Time: 9L
    Location: –
    Instructors:

    Michael A. Kokko


  • ENGS 73
    Materials Processing and Selection

    Description

    In this course the basic concepts of materials science introduced in ENGS 24 are applied to a variety of materials problems and processes. The course will treat processes and principles relevant to both mechanical and electrical engineering applications. Topics include solidification and crystal growth, joining and bonding techniques, deformation processing, surface coatings and thin film deposition, polymer processing, composite materials, magnetic and dielectric materials, powder metallurgy and ceramics processing, materials selection, failure processes, and quality control. The course will involve laboratory exercises and field trips to local industry. Materials applications will be considered on a case study basis, including aerospace and automotive structures, consumer goods, high performance sports equipment, electric components, VLSI circuit fabrication and packaging.
    Includes Lab

    Prerequisites

    ENGS 24 and ENGS 33 or equivalent

    Distribution Code

    TLA

    Notes

    Not offered 2022 - 2024
  • ENGS 75
    Product Design

    Description

    A laboratory course on human-centered product design. A series of design projects form the vehicle for exploring creative strategies for optimizing product design for human use. The course focus includes need-finding, concept development, iterative modeling, prototyping and testing. The goal is synthesis of technical requirements with aesthetic and human concerns. Includes presentations by visiting professional designers. Enrollment is limited to 20 students.

    Prerequisites

    ENGS 21 or ENGS 89

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: Arrange - 9L timeframe
    Location: –
    Instructors:

    Peter J. Robbie


    Term: Spring 2023
    Time: 2A
    Location:

    MACLEAN 201 RETTS

    Instructors:

    Peter J. Robbie


  • ENGS 76
    Machine Engineering

    Description

    An introduction to the analysis and synthesis of mechanical components and systems. Lecture topics focus on design and analysis of mechanical components subject to static and fatigue loading conditions, deformation, and buckling. Power transmission shafting, bearings, and gears will be studied in detail. A survey of design requirements for other components — springs, screws, belts, clutches, brakes, roller chains, and welded and riveted connections — will be provided. The class includes laboratory sessions for developing practical skills in design fabrication. A term project emphasizes the synthesis of a working machine to complete a specified task. The project involves the design or selection of components studied, and includes fabrication and demonstration of the machine. Solid modeling software is used as a design tool. Enrollment is limited to 25 students.

    Prerequisites

    ENGS 21, ENGS 33, and proficiency with solid modeling software

    Distribution Code

    TAS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 10A
    Location:

    MACLNB01 ZALESK

    Instructors:

    Ryan J. Halter


    Term: Fall 2023
    Time: 10A
    Location: –
    Instructors:

    Thayer Faculty


  • ENGS 84
    Reading Course

    Description

    Advanced undergraduates occasionally arrange with a Thayer faculty member a reading course in a subject not occurring in the regularly scheduled curriculum. This course can only be elected once and either ENGS 84 or ENGS 85 may be used toward the Engineering Sciences major, but not both.

    Prerequisites

    Permission of the department chair.

    Notes

    (Proposed courses should include a full syllabus, resources and student evaluation methods and must be submitted for approval prior to the end of the term preceding the term in which the course will be taken.)

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Summer 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Fall 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Winter 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Summer 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Fall 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Winter 2024
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2024
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


  • ENGS 85
    Special Topics in Engineering Sciences

    Description

    From time to time a section of ENGS 85 may be offered in order to provide an advanced course in a topic which would not otherwise appear in the curriculum. This course can only be elected once and either ENGS 84 or 85 may be used toward the Engineering Sciences major, but not both.

    Prerequisites

    Permission of the department chair
  • ENGS 85.09
    Introduction to Computational Materials Science and Engineering

    Description

    Computational modeling in materials science is a powerful tool that allows discovery of new materials and exploration of materials theory. This course introduces the use of computational modeling to understand and predict materials behavior, properties and processes. The course will introduce a series of common materials modeling approaches from molecular dynamics to Monte-Carlo simulations and Density Functional Theory. All methods will be illustrated using use cases from various fields of materials science (e.g., Li-ion batteries, structural alloys, …). The students will learn to apply these methods hands-on on specific problems writing code and using open-source codes. A strong emphasis will be on the critical assessment of the limits of the models.

    Prerequisites

    ENGS 24, ENGS 20, and working knowledge of ordinary and partial differential equations. Students not meeting the prerequisites and non-engineering majors may seek instructor permission.

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 11
    Location: –
    Instructors:

    Geoffroy T. F. Hautier


    Term: Spring 2023
    Time: 11
    Location:

    ECSC 005

    Instructors:

    Geoffroy T. F. Hautier


    Term: Spring 2024
    Time: 11
    Location: –
    Instructors:

    Geoffroy T. F. Hautier


  • ENGS 85.10
    Mathematical Foundations for Machine Learning

    Description

    Mathematics for Machine Learning aims to lay the mathematical foundation that are key to understanding the motivations and the implementation ML algorithms. This course will cover the following four broad topics; namely, vector calculus, probability theory, matrix algebra and optimization, in so far as they are used in ML algorithms. The course will conclude with application of these topics to four prototypical ML tasks/algorithms – two in supervised learning (regression using linear models and classification using support vector machine), and two in unsupervised learning (clustering using expectation maximization (EM) and dimensionality reduction using Principal Component Analysis (PCA). Programming at the level of Python and ML software packages (PyTorch, Tensorflow, etc.) will be used to supplement the understanding of the mathematics and algorithms, though the focus of the course will be on developing mathematical foundations and intuitions for the ML algorithms, rather than on developing large-scale applications of ML algorithms.

    Prerequisites

    (MATH 8 or 9) or (MATH 22 or 24); MATH 20 not mandatory; ENGS 20 or COSC 10 preferred

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2023
    Time: 3B
    Location:

    CUMMINGS 200

    Instructors:

    Peter Chin


  • ENGS 85.11
    Computer Aided Design and Kinematics

    Description

    This course introduces computer-aided design and kinematics applied to study the geometry of motion in linkage systems that are components of machines ranging from vehicle suspensions to robotic arms. The principles and methods introduced include capturing design intent in parametric models, design communication with mechanical drawings, computer-based kinematic design, and design validation with rapid prototyping. A series of project-based learning activities focus on the design of linkage mechanisms to control the leg movements of walking machines where the objective is to transform the rotation of an input crank into a desired walking movement for the legs. The course aims to develop spatial and geometric thinking abilities while practicing mechanical design within constraints and building prototypes of increasingly complicated walking mechanisms. The lessons and projects examine technologies that surround us and art that explores the boundary of mechanical animals and life.

    Prerequisites

    ENGS 21

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2023
    Time: 9L
    Location:

    M210 for class

    Instructors:

    Solomon G. Diamond


  • ENGS 86
    Independent Project

    Description

    An individual research or design project carried out under the supervision of a member of Thayer School faculty member. Students electing this course will be expected to carry out preliminary reading during the preceding term. A major written report and oral presentation will be submitted at the completion of the course. ENGS 86 may be counted as an elective in the major if ENGS 89 is taken as the culminating experience. Only one of either ENGS 86 or ENGS 88 may be used in satisfaction of the combined A.B. major and B.E. degree requirements.
    Culminating Experience

    Prerequisites

    Senior standing in the Engineering Sciences major or Bachelor of Engineering standing and permission of the department chair is required.

    Notes

    (One-page proposal submission required and must be submitted for approval prior to the end of the term preceding the term in which the course will be taken.)

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Summer 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Fall 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Winter 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Summer 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Fall 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Winter 2024
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2024
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


  • ENGS 87
    Undergraduate Investigations

    Description

    An original investigation in a phase of science or engineering under the supervision of a member of Thayer School faculty member. Students electing the course will be expected to carry out preliminary reading during the preceding term and to meet weekly with the staff member supervising the investigation. The course is open to qualified undergraduates with the consent of the department chair, and it may be elected more than once. A report describing the details of the investigation must be filed with the department chair and approved at the completion of the course.

    Prerequisites

    Permission of the department chair.

    Notes

    (One-page proposal submission required and must be submitted for approval prior to the end of the term preceding the term in which the course will be taken.)

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Summer 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Fall 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Winter 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Summer 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Fall 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Winter 2024
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2024
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


  • ENGS 88
    Honors Thesis

    Description

    Honors version of ENGS 86. A course normally elected by honors students in one term of the senior year. The student will conduct a creative investigation suitable to the major subject under the supervision and guidance of a member of Thayer School faculty member. Students electing this course will be expected to begin the project work at least one term prior to electing ENGS 88 and may choose to conduct the preliminary investigation under ENGS 87. A major written report and oral presentation will be submitted at the completion of the course. Only one of either ENGS 86 or ENGS 88 may be used in satisfaction of the combined A.B. major and B.E. degree requirements.
    Culminating Experience

    Prerequisites

    Permission of the chair of the Honors program.

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Summer 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Fall 2022
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Winter 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Summer 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Fall 2023
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Winter 2024
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


    Term: Spring 2024
    Time: Arrange
    Location: –
    Instructors:

    Douglas W. Van Citters


  • ENGS 89
    Engineering Design Methodology and Project Initiation

    Description

    This course explores elements of the engineering design process as a means of enhancing student ability in problem definition, development and evaluation of creative alternatives, application and methods of technical and economic analysis, identification and application of ethical and legal constraints, and effective presentation of technical information. Design projects are developed from specifications submitted by industry and other organizations and are pursued over the course of two quarters as a team project (ENGS 89/90). Written and oral proposals and progress reports are required for the design project during the term. A project advisor is required for each design team to serve as a consultant to the team's efforts. ENGS 89 is the first unit of a two-term course sequence (ENGS 89/90) that must be taken consecutively.
    Culminating Experience

    Prerequisites

    Prior to enrollment in ENGS 89, at least six engineering courses must be completed. These include ENGS 21 plus five additional courses numbered 22 to 76 (excluding 75) and 91 and above.

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 2A
    Location:

    ECSC116

    Instructors:

    Solomon G. Diamond


    Term: Fall 2023
    Time: 2A
    Location: –
    Instructors:

    Solomon G. Diamond


  • ENGS 90
    Engineering Design Methodology and Project Completion

    Description

    This course is the second unit in the two-course team engineering design sequence ENGS 89/90. The objective of the course is to develop the students' professional abilities by providing a realistic project experience in engineering analysis, design, and development. Students continue with the design teams formed in ENGS 89 to complete their projects. Design teams are responsible for all aspects of their respective projects: science, innovation, analysis, experimentation, economic decisions and business operations, planning of projects, patents, and relationships with clients. Mid-term and final oral presentations and written reports are required. A faculty member is assigned to each design team to serve as consultant to the team's efforts.

    Prerequisites

    ENGS 89

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 3B
    Location: –
    Instructors:

    Solomon G. Diamond

    Rafe H. Steinhauer


    Term: Winter 2023
    Time: 3A
    Location:

    CUMMINGS 100

    Instructors:

    Solomon G. Diamond


    Term: Winter 2024
    Time: Arrange
    Location: –
    Instructors:

    Solomon G. Diamond


  • ENGS 91
    Numerical Methods in Computation

    Description

    A study and analysis of important numerical and computational methods for solving engineering and scientific problems. The course will include methods for solving linear and nonlinear equations, doing polynomial interpolation, evaluating integrals, solving ordinary differential equations, and determining eigenvalues and eigenvectors of matrices. The student will be required to write and run computer programs. ENGS 91 may not be used by mathematics or computer science majors in partial satisfaction of the distributive requirement.

    Prerequisites

    ENGS 20 or COSC 1 and COSC 10; ENGS 22 or MATH 23, or equivalent

    Cross Listed Courses

    COSC 071

    Distribution Code

    QDS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2023
    Time: 12
    Location:

    CUMMINGS 202

    Instructors:

    Thayer Faculty


    Term: Fall 2023
    Time: 12
    Location: –
    Instructors:

    Simon Shepherd


  • ENGS 92
    Fourier Transforms and Complex Variables

    Description

    Survey of a number of mathematical methods of importance in engineering and physics with particular emphasis on the Fourier transform as a tool for modeling and analysis. Orthogonal function expansions, Fourier series, discrete and continuous Fourier transforms, generalized functions and sampling theory, complex functions and complex integration, Laplace, Z, and Hilbert transforms. Computational Fourier analysis, applications to linear systems, waves, and signal processing.

    Prerequisites

    MATH 46 or ENGS 22 and ENGS 23 or the equivalent

    Cross Listed Courses

    PHYS 070

    Distribution Code

    QDS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 2
    Location:

    MACLN132

    Instructors:

    Markus E. Testorf


    Term: Fall 2023
    Time: 2
    Location: –
    Instructors:

    Markus E. Testorf


  • ENGS 93
    Statistical Methods in Engineering

    Description

    The application of statistical techniques and concepts to maximize the amount and quality of information resulting from experiments. After a brief introductory summary of fundamental concepts in probability and statistics, topics considered will include probability distributions, sampling distributions, estimation and confidence intervals for parameters of statistical distributions, hypothesis testing, design and analysis of variance for single and multiple-factor experiments, regression analysis, estimation and confidence intervals for parameters of non-statistical models, and statistical quality control.

    Prerequisites

    MATH 13 or equivalent

    Distribution Code

    QDS

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 11
    Location:

    Cummings 100 (Spanos)

    Instructors:

    Ronald C. Lasky


    Term: Fall 2022
    Time: 2A
    Location:

    CUMMGS200

    Instructors:

    Vikrant S. Vaze


    Term: Fall 2022
    Time: 11
    Location:

    CUMMGS200

    Instructors:

    Ronald C. Lasky


    Term: Winter 2023
    Time: 11
    Location:

    ECSC 116

    Instructors:

    Wesley Marrero


    Term: Spring 2023
    Time: 10A
    Location:

    CUMMINGS 202

    Instructors:

    Vikrant S. Vaze


    Term: Fall 2023
    Time: 11
    Location: –
    Instructors:

    Ronald C. Lasky


    Term: Winter 2024
    Time: 11
    Location: –
    Instructors:

    Ronald C. Lasky


  • ENGS 100
    Methods in Applied Mathematics I

    Description

    Concepts and methods used in the treatment of linear equations with emphasis on matrix operations, differential equations, and eigenvalue problems will be developed following a brief review of analytic function theory. Topics include the Fourier integral, finite and infinite dimensional vector spaces, boundary value problems, eigenfunction expansions, Green's functions, transform techniques for partial differential equations, and series solution of ordinary differential equations. Properties and uses of orthogonal polynomials and special functions such as the hypergeometric, Bessel, Legendre, and gamma functions are included. Applications in engineering and physics are emphasized.

    Prerequisites

    ENGS 92 or MATH 33 or MATH 43, with permission of instructor, or the equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2023
    Time: 12
    Location:

    CUMMINGS 105

    Instructors:

    Colin R. Meyer


    Term: Winter 2024
    Time: 10
    Location: –
    Instructors:

    Colin R. Meyer


  • ENGS 103
    Operations Research

    Description

    This course provides an overview of a broad range of deterministic and probabilistic operations research models with a focus on engineering applications. Emphasis is on developing strong formulations, understanding key solution concepts, developing efficient algorithms, and grasping the advantages and limitations of each approach. After a brief overview of linear and discrete optimization models, the course covers four main types of techniques: network models, queuing theory, discrete events simulation and game theoretic analysis. Various network models and the corresponding solution algorithms are discussed. Key results and applications of queuing models are presented. Uncertainty associated with real-world modeling is captured through simulation techniques with specific emphasis on discrete events simulation. Equilibrium modeling concepts for strategic form games and extensive form games are introduced as extensions of the core optimization concepts. Application examples are drawn from aerospace, biomedical, civil, computer, electrical, industrial, mechanical, and systems engineering.

    Prerequisites

    ENGS 93 or equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: WF(1-2:50)
    Location: –
    Instructors:

    Vikrant S. Vaze


    Term: Winter 2023
    Time: 2A
    Location:

    CUMMINGS 118

    Instructors:

    Vikrant S. Vaze


    Term: Winter 2024
    Time: Arrange
    Location: –
    Instructors:

    Vikrant S. Vaze


  • ENGS 104
    Optimization Methods for Engineering Applications

    Description

    An introduction to various methods of optimization and their uses in modern engineering. Students will learn to formulate and analyze optimization problems and apply optimization techniques in addition to learning the basic mathematical principles on which these techniques are based. Topic coverage includes linear programming, nonlinear programming, dynamic programming, combinatorial optimization and Monte Carlo methods.

    Prerequisites

    MATH 22 and ENGS 27 or equivalents, or permission of instructor

    Notes

    Not offered 2021-2023
  • ENGS 105
    Computational Methods for Partial Differential Equations I

    Description

    This course concentrates on the numerical solution of partial differential equations commonly encountered in Engineering Sciences. Finite difference and finite element methods are used to solve problems in heat flow, wave propagation, vibrations, fluid mechanics, hydrology, and solid mechanics. The course materials emphasize the systematic generation of numerical methods for elliptic, parabolic, and hyperbolic problems, and the analysis of their stability, accuracy, and convergence properties. Weekly computer exercises will be required to illustrate the concepts discussed in class.

    Prerequisites

    MATH 23 and ENGS 91 (COSC 71), or equivalents

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 2A
    Location:

    Cummings 105

    Instructors:

    Keith D. Paulsen


    Term: Winter 2024
    Time: 2A
    Location: –
    Instructors:

    Keith D. Paulsen


  • ENGG 107
    Bayesian Statistical Modeling and Computation

    Description

    This course will introduce the Bayesian approach to statistical modeling as well as the computational methods necessary to implement these approaches in research and applications. We will cover methods of statistical learning and inference for a variety of subject area. Students will have the opportunity to apply these concepts and methods in the context of their own research or area of application in the form of a term project.

    Prerequisites

    ENGS 93 or comparable course in probability and statistics; previous programming experience with Matlab, C, S, R or similar language. (MATH/COSC 71, ENGS 91, COSC 70/170 are appropriate ways to fulfill the programming requirement.) We will use R language code.

    Notes

    .

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2023
    Time: 11
    Location:

    ECSC 009

    Instructors:

    Klaus Keller


  • ENGS 108
    Applied Machine Learning

    Description

    This course will introduce students to modern machine learning techniques as they apply to engineering and applied scientific and technical problems. Techniques such as recurrent neural networks, deep learning, reinforcement learning and online learning will be specifically covered. Theoretical underpinnings such as VC-Dimension, PAC Learning and universal approximation will be covered together with applications to audio classification, image and video analysis, control, signal processing, computer security and complex systems modeling. Students will gain experience with state-of-the-art software systems for machine learning through both assignments and projects. Because of the large overlap in material covered, no student will receive credit for both ENGS 108 and COSC 74/274.

    Prerequisites

    ENGS 20 or equivalent, MATH 22 or equivalent, ENGS 27 or ENGS 93 or equivalent.

    Cross Listed Courses

    QBS 108

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 12
    Location:

    MACLNB01 ZALESK

    Instructors:

    George Cybenko


    Term: Fall 2023
    Time: 12
    Location: –
    Instructors:

    George Cybenko


  • ENGS 110
    Signal Processing

    Description

    Continuous and discrete time signals and systems. The discrete Fourier Transform and the fast Fourier Transform. Linear filtering of signals and noise. Characterization of random signals using correlation functions and power spectral densities. Problems will be assigned which require the use of the computer.

    Prerequisites

    ENGS 32 and ENGS 92 or equivalents

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2023
    Time: 3B
    Location:

    CUMMINGS 200

    Instructors:

    Peter Chin


    Term: Spring 2024
    Time: 10
    Location: –
    Instructors:

    Eric W. Hansen


  • ENGS 111
    Digital Image Processing

    Description

    Digital image processing has come into widespread use in many fields, including medicine, industrial process monitoring, military and security applications, as well as satellite observation of the earth. This course will cover many aspects of image processing that students will find valuable in their research or personal interest. Topics will include: image sources, computer representation of images and formats, operations on images, and image analysis. In this course we will stretch the conventional notion of images from 2D pixel arrays to include 3D data sets, and we will explore how one can process such stacks of voxels to produce useful information. This course will also touch on some advanced topics in image processing, which may vary based on students interests. This course will require the completion of a project selected by the student.

    Prerequisites

    ENGS 92 and ENGS 93 or equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 9L
    Location: –
    Instructors:

    Xiaoyao Fan


    Term: Spring 2023
    Time: 9L
    Location:

    CUMMINGS 118

    Instructors:

    Xiaoyao Fan


    Term: Spring 2024
    Time: 9L
    Location: –
    Instructors:

    Thayer Faculty


  • ENGS 112
    Modern Information Technologies

    Description

    This course covers current and emerging information technologies, focusing on their engineering design, performance, and application. General topics, such as distributed component and object architectures, wireless networking, web computing, and information security, will be covered. Specific subjects will include Java, CORBA, JINI public key cryptography, web search engine theory and technology, and communications techniques relevant to wireless networking such as Code Division Multiple Access protocols and cellular technology.

    Prerequisites

    ENGS 20, ENGS 93 and ENGS 27 or COSC 60. ENGS 93 can be taken concurrently.

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2024
    Time: 11
    Location: –
    Instructors:

    Thayer Faculty


  • ENGG 113
    Image Visualization and Analysis

    Description

    The goal of this course is to introduce graduate level and senior undergraduate students who are working in imaging research to image processing and visualization in 3D using advanced libraries and fully functional software development framework. The most widely used open source software tools for medical image analysis and visualization will be used as the platform: The Insight Registration Segmentation Toolkit (ITK), the Visualization Toolkit (VTK), OpenCV, Qt, and CMake. ITK is an open-source, widely adopted, cross-platform system that provides developers with an extensive suite of software tools for image analysis, including fundamental algorithms for image segmentation and registration. VTK is an open-source, widely adopted, software system for 3D computer graphics, modeling, image processing, volume rendering, scientific visualization, and information visualization. The student will gain understanding of the working of all subroutines and practical application implementing these routines into customized workflow. The course will also introduce the use of OpenCV for applying computer vision and machine learning algorithms to biomedical images and data. Moreover, a full software development environment will be employed to create release-quality applications. This will include the use of source version control to track code changes and bugs, Qt for user interface development, CMake for development environment control, and Visual Studio C++ for the coding environment (Python is also permitted for students with substantial experience working with the language). This state of the art forms the basis for most medical visualization software used today, and students will learn the use of these tools and complete required exercises and projects, with an emphasis on real-world clinical applications.

    Prerequisites

    ENGS 65 or Permission of the Instructor

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 6B
    Location: –
    Instructors:

    Michael Jermyn


    Term: Spring 2024
    Time: 6B
    Location: –
    Instructors:

    Michael Jermyn


  • ENGS 114
    Networked Multi-Agent Systems

    Description

    Design and analysis of networked systems comprised of interacting dynamic agents will be considered. Inspired by the cohesive behavior of flocks of birds, we design self-organizing engineering systems that mimic a sense of coordinated motion and the capability of collaborative information processing similar to flocks of birds. Examples include multi-robot networks, social networks, sensor networks, and swarms. The course combines concepts in control theory, graph theory, and complex systems in a unified framework.

    Prerequisites

    ENGS 26, MATH 23, or equivalents plus familiarity with MATLAB

    Notes

    Not offered 2021-2023
  • ENGS 115
    Parallel Computing

    Description

    Parallel computation, especially as applied to large scale problems. The three main topics are: parallel architectures, parallel programming techniques, and case studies from specific scientific fields. A major component of the course is laboratory experience using at least two different types of parallel machines. Case studies will come from applications areas such as seismic processing, fluid mechanics, and molecular dynamics.

    Prerequisites

    ENGS 91 (or COSC 71 or equivalent)

    Notes

    Not offered 2021-2023
  • ENGS 116
    Computer Engineering: Computer Architecture

    Description

    The course provides an introduction to the field of computer architecture. The history of the area will be examined, from the first stored program computer to current research issues. Topics covered will include successful and unsuccessful machine designs, cache memory, virtual memory, pipelining, instruction set design, RISC/CISC issues, and hardware/software tradeoffs. Readings will be from the text and an extensive list of papers. Assignments will include homeworks and a substantial project, intended to acquaint students with open questions in computer architecture.

    Prerequisites

    ENGS 31 and COSC 51; COSC 57, COSC 58, or equivalent recommended

    Cross Listed Courses

    COSC 251

    Notes

    Not offered 2021-2023
  • ENGS 117
    Computational Imaging

    Description

    An examination of computational methods in imaging science. An introduction into imaging theory is presented, including wave propagation, image formation, imaging systems, image quality, and noise sources. Then, advanced topics such as super-resolution imaging, compressed sensing, spectroscopic imaging, wavefront shaping, and holography are studied. Material draws heavily from recent literature. The course incorporates programming projects, critical reviews of journal articles, and construction of original review papers.

    Prerequisites

    ENGS 92 or equivalent

    Notes

    formerly ENGG 117

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2023
    Time: 11
    Location: –
    Instructors:

    Geoffrey P. Luke


  • ENGS 120
    Electromagnetic Waves: Analytical and Modeling Approaches

    Description

    Conceptual development, analysis, and modeling in electromagnetic wave propagation, including boundary conditions, material properties, polarization, radiation, scattering, and phased arrays; emerging research and applications in the areas of electromagnetics and materials.

    Prerequisites

    ENGS 64 or equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 2
    Location:

    Cummings 105

    Instructors:

    Geoffrey P. Luke


    Term: Winter 2023
    Time: 2
    Location:

    CUMMINGS 105

    Instructors:

    Geoffrey P. Luke


    Term: Winter 2024
    Time: 2
    Location: –
    Instructors:

    Geoffrey P. Luke


  • ENGG 122
    Advanced Topics in Semiconductor Devices

    Description

    The MOS device structure is the backbone of nearly all modern microelectronics. In this course the gate-insulator-semiconductor structure, commonly referred to as the metal-oxide- semiconductor or MOS structure, will be studied. The historical background of MOS devices and their fabrication will be briefly reviewed, as well as the basic MOS structure for accumulation, depletion and inversion. Advanced issues such as work function, trapped charge, interface traps, non-equilibrium operation and re-equilibration processes will be covered. Analysis of MOS in 1D including capacitance will be performed. The MOSFET will be analyzed with attention on short-channel effects, scaling, drain-induced barrier lowering, etc. The relationship between physics-based MOS device analysis and TCAD modelling will be explored. Other devices utilizing the MOS concept will be discussed, including power devices, CCDs and imaging devices, and FINFETs. The effects of radiation and other reliability issues will also be addressed.

    Prerequisites

    ENGS 60 or equivalents

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: Cancelled
    Location: –
    Instructors:

    William J. Scheideler


    Term: Winter 2024
    Time: 10A
    Location:

    Required on-campus components

    Instructors:

    William J. Scheideler


    Term: Winter 2024
    Time: –
    Location: –
    Instructors:

    William J. Scheideler


  • ENGS 123
    Optics

    Description

    The physical principles and engineering applications of optics, with an emphasis on optical systems. Geometric optics: ray tracing, first-order analysis, imaging, radiometry. Wave optics: polarization, interference, diffraction, Fourier optics. Sources and detectors. Fiber optic systems.

    Prerequisites

    ENGS 23 or PHYS 41, and ENGS 92 or equivalent

    Cross Listed Courses

    PHYS 123

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 11
    Location:

    ECSCB001

    Instructors:

    Geoffrey P. Luke


  • ENGS 124
    Optical Devices and Systems

    Description

    Light has now taken its place beside electricity as a medium for information technology and for engineering and scientific instrumentation. Applications for light include telecommunications and computers, as well as instrumentation for materials science, and biomedical, mechanical, and chemical engineering. The principles and characteristics of lasers, detectors, lenses, fibers, and modulators will be presented, and their application to specific optical systems introduced. The course will be taught in an interdisciplinary way, with applications chosen from each field of engineering. Students will choose design projects in their field of interest.

    Prerequisites

    ENGS 23

    Cross Listed Courses

    PHYS 124

    Notes

    No notes

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2023
    Time: 10A
    Location:

    CUMMINGS 105

    Instructors:

    Jifeng Liu


  • ENGS 125
    Power Electronics and Electromechanical Energy Conversion

    Description

    Controlled use of energy is essential in modern society. As advances in power electronics extend the capability for precise and efficient control of electrical energy to more applications, economic and environmental considerations provide compelling reasons to do so. In this class, the principles of power processing using semiconductor switching are introduced through study of pulse-width-modulated dc-dc converters. High-frequency techniques, such as soft-switching, are analyzed. Magnetic circuit modeling serves as the basis for transformer, inductor, and electric machine design. Electromechanical energy conversion is studied in relation to electrostatic and electromagnetic motor and actuator design. Applications to energy efficiency, renewable energy sources, robotics, and micro-electromechanical systems are discussed. Laboratory exercises lead to a project involving switching converters and/or electric machines.

    Prerequisites

    ENGS 23 and ENGS 32

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10
    Location:

    MacLean 132

    Instructors:

    Jason T. Stauth


    Term: Fall 2022
    Time: 10
    Location:

    ECSC041

    Instructors:

    Charles R. Sullivan


    Term: Fall 2023
    Time: 10
    Location: –
    Instructors:

    Charles R. Sullivan


  • ENGS 126
    Analog Integrated Circuit Design

    Description

    Design methodologies of very large scale integration (VLSI) analog circuits as practiced in industry will be discussed. Topics considered will include practical design considerations such as size and cost; technology processes; modeling of CMOS, bipolar, and diode devices; advanced circuit simulation techniques; basic building blocks; amplifiers; and analog systems. A design project is also required in which the student will design, analyze, and optimize a small analog or mixed analog/digital integrated circuit. This design and some homework assignments will require the student to perform analog and digital circuit simulations to verify circuit operation and performance. Lectures will be supplemented by guest lecturers from industry.

    Prerequisites

    ENGS 32 and ENGS 61, or permission of instructor

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 2A
    Location: –
    Instructors:

    Kofi M. Odame


    Term: Spring 2023
    Time: 2A
    Location:

    CUMMINGS 202

    Instructors:

    Kofi M. Odame


    Term: Spring 2024
    Time: 2A
    Location: –
    Instructors:

    Kofi M. Odame


  • ENGS 128
    Advanced Digital System Design

    Description

    Field-programmable gate arrays (FPGAs) have become a major fabric for implementing digital systems, rivaling application-specific integrated circuits (ASICs) and microprocessors/microcontrollers, particularly in applications requiring special architectures or high data throughput, such as digital signal processing. Hardware description languages (HDLs) have become the dominant method for digital system design. This course will advance the student's understanding of FPGA design flow and ability to perform HDL-based design and implementation on FPGAs. Topics include: FPGA architectures, digital arithmetic, pipelining and parallelism, efficient design using register transfer level coding and IP cores, computer-aided tools for simulation, synthesis, and debugging. The course is graded on a series of laboratory exercises and a final project.

    Prerequisites

    ENGS 31 and ENGS 62 or COSC 51
  • ENGS 129
    Biomedical Circuits and Systems

    Description

    This course covers the fundamental principles of designing electronic instrumentation and measurement systems, including (i) operation and use of a range of transducers (ii) design of sensor interface circuits (iii) operation and use of different analog-to- digital converters (iv) signal processing algorithms and (v) event-driven microcontroller programming. While these engineering principles will be illustrated in the context of biomedical applications, they are equally relevant to other instrumentation and measurement scenarios. In the first half of the course, there are weekly labs during which students build various biomedical devices, such as an ECG-based heart rate monitor, an electronic stethoscope and an automatic blood pressure monitor. Each of these labs underscores a specific principle of instrumentation and measurement system design. The second half of the course is focused on a group project to build a single, moderately-complex piece of instrumentation, such as a blood oxygenation monitor.

    Prerequisites

    ENGS 28 and ENGS 32

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 11
    Location: –
    Instructors:

    Kofi M. Odame


    Term: Winter 2023
    Time: 11
    Location:

    ECSC 042

    Instructors:

    Kofi M. Odame


    Term: Winter 2024
    Time: 11
    Location: –
    Instructors:

    Kofi M. Odame


  • ENGS 130
    Mechanical Behavior of Materials

    Description

    A study of the mechanical properties of engineering materials and the influence of these properties on the design process. Topics include: tensorial description of stress and strain; elasticity; plastic yielding under multiaxial loading; flow rules for large plastic strains; microscopic basis for plasticity; viscoelastic deformation of polymers; creep; fatigue; and fracture.

    Prerequisites

    ENGS 24 and ENGS 33, or equivalent

    Notes

    Classnotes will be distributed at the start of the class.

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 10
    Location:

    CUMMGS105

    Instructors:

    Erland M. Schulson


    Term: Fall 2023
    Time: 10
    Location: –
    Instructors:

    Erland M. Schulson


  • ENGS 131
    Science of Solid State Materials

    Description

    This course provides a background in solid state physics and gives students information about modern directions in research and application of solid state science. The course serves as a foundation for more advanced and specialized courses in the engineering of solid state devices and the properties of materials. The main subjects considered are: crystal structure, elastic waves-phonones, Fermi-Dirac and Bose-Einstein statistics, lattice heat capacity and thermal conductivity, electrons in crystals, electron gas heat capacity and thermal conductivity, metals, semiconductors, superconductors, dielectric and magnetic properties, and optical properties. Amorphous solids, recombination, photoconductivity, photoluminescence, injection currents, semiconductor lasers, high temperature superconductors, and elements of semiconductor and superconductor microelectronics are considered as examples.

    Prerequisites

    ENGS 24 or PHYS 24 or CHEM 76 or equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 2
    Location:

    CUMMGS202

    Instructors:

    Jifeng Liu


    Term: Fall 2023
    Time: 2
    Location: –
    Instructors:

    Jifeng Liu


  • ENGS 132
    Thermodynamics and Kinetics in Condensed Phases

    Description

    This course discusses the thermodynamics and kinetics of phase changes and transport in condensed matter, with the objective of understanding the microstructure of both natural and engineered materials. Topics include phase equilibria, atomic diffusion, interfacial effects, nucleation and growth, solidification of one-component and two-component systems, solubility, precipitation of gases and solids from supersaturated solutions, grain growth, and particle coarsening. Both diffusion-assisted and diffusionless or martensitic transformations are addressed. The emphasis is on fundamentals. Applications span the breadth of engineering, including topics such as polymer transformations, heat treatment of metals, processing of ceramics and semiconductors. Term paper.

    Prerequisites

    ENGS 24 and ENGS 25, or equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10
    Location:

    Cummings 105

    Instructors:

    Erland M. Schulson


    Term: Winter 2023
    Time: 10
    Location:

    CUMMINGS 105

    Instructors:

    Erland M. Schulson


    Term: Winter 2024
    Time: 10
    Location: –
    Instructors:

    Erland M. Schulson


  • ENGS 133
    Methods of Materials Characterization

    Description

    This survey course discusses both the physical principles and practical applications of the more common modern methods of materials characterization. It covers techniques of both microstructural analysis (OM, SEM, TEM, electron diffraction, XRD), and microchemical characterization (EDS, XPS, AES, SIMS, NMR, RBS, and Raman spectroscopy), together with various scanning probe microscopy techniques (AFM, STM, EFM, and MFM). Emphasis is placed on the information that can be obtained together with the limitations of each technique. The course has a substantial laboratory component, including a project involving written and oral reports, and requires a term paper.

    Prerequisites

    ENGS 24 or permission

    Cross Listed Courses

    PHYS 128 and CHEM 137

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 2A
    Location: –
    Instructors:

    Ian Baker


    Term: Spring 2023
    Time: 2A
    Location:

    ECSC 005

    Instructors:

    Ian Baker


    Term: Spring 2024
    Time: 2A
    Location: –
    Instructors:

    Ian Baker


  • ENGS 134
    Nanotechnology

    Description

    Current papers in the field of nanotechnology will be discussed in the context of the course material. In the second half of the term, students will pick a topic of interest and have either individual or small group meetings to discuss literature and research opportunities in this area. The students will prepare a grant proposal in their area of interest.

    Prerequisites

    ENGS 24 or PHYS 19 or CHEM 6, or equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10A
    Location:

    MacLean 101

    Instructors:

    Jifeng Liu


    Term: Winter 2023
    Time: 10A
    Location:

    ECSC 041

    Instructors:

    William J. Scheideler


    Term: Winter 2024
    Time: 10A
    Location: –
    Instructors:

    Jifeng Liu


  • ENGS 135
    Thin Films and Microfabrication Technology

    Description

    This course covers the processing aspects of semiconductor and thin film devices. Growth methods, metallization, doping, insulator deposition, patterning, and analysis are covered. There are two major projects associated with the course — an experimental investigation performed in an area related to the student's research or interests, and a written and oral report on an area of thin film technology.

    Prerequisites

    ENGS 24 or equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: Cancelled
    Location: –
    Instructors:

    Thayer Faculty


    Term: Spring 2022
    Time: 12
    Location: –
    Instructors:

    Hui Fang


    Term: Winter 2024
    Time: 12
    Location: –
    Instructors:

    Thayer Faculty


  • ENGS 136
    Electrochemical Energy Materials

    Description

    Electrochemical energy materials and devices are playing a vital role in our technology driven society, and are in massive and rapidly growing demand for applications ranging from portable electronics to electric cars, from grid-scale energy storage to defense purposes. This course will give an introduction to the materials developments and characterizations in diverse electrochemical devices, with a focus on various electrode materials and technologies. Topics include, for example, basic principles of electrochemistry; introduction of a series of electrochemical energy storage devices; materials in emerging new battery technologies; photoelectrochemistry and photovoltaic devices. This course focuses on understanding materials science and challenges in modern electrochemical devices. For example, how to engineer the structures and properties of materials to maximize their electrochemical performances? How to characterize structures and compositions of electrochemical materials? The course also includes guest lectures to introduce a variety of energy materials for broad applications, such as solar cells and electrochemical sensing. (It is assumed that students do not have background in electrochemistry)
    Culminating Experience

    Prerequisites

    ENGS 024 or Permission of Instructor

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 3B
    Location:

    ECSC042

    Instructors:

    Weiyang Li


    Term: Fall 2023
    Time: 3B
    Location: –
    Instructors:

    Weiyang Li


  • ENGS 137
    Molecular and Materials Design using Density Functional Theory

    Description

    Density Functional Theory (DFT) has become a very powerful tool to compute and predict the properties of molecules and materials. This class will focus on how DFT can be used to compute a large range of materials and molecules properties. The class will expose the fundamentals of DFT but also the practical aspects involved in running computations. A comprehensive number of properties will be studied: structural, mechanical, thermodynamical, optical, electrical and magnetic. The student will learn how to use a DFT code through computational problem sets. The class will as well focus on case studies from the scientific literature presented by students and discussed in class. A strong emphasis will be on the critical assessment of the results obtained by DFT and on the use of the technique to perform prediction and design.
    Includes Lab

    Prerequisites

    ENGS 24 or PHYS 24 or CHEM 76 or equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 11
    Location:

    ECSC041

    Instructors:

    Geoffroy T. F. Hautier


    Term: Fall 2023
    Time: 11
    Location: –
    Instructors:

    Geoffroy T. F. Hautier


  • ENGS 138
    Corrosion and Degradation of Materials

    Description

    This course gives an introduction to the basic principles and applications of corrosion science that underpin extensions to practice. Topics include the thermodynamics and kinetics of electrochemical reactions to the understanding of such corrosion phenomena as passivity, crevice corrosion and pitting, and mechanically assisted corrosion; discussion of methods of corrosion control and prevention; mechanism and application of high-temperature oxidation (dry corrosion); applications to current materials degradation problems in marine environments, petrochemical and metallurgical industries, and energy storage/conversion systems.
    Culminating Experience

    Prerequisites

    ENGS 24

    Notes

    Course was previously ENGG 138

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 3A
    Location: –
    Instructors:

    Weiyang Li


    Term: Spring 2023
    Time: 3A
    Location:

    ECSC 041

    Instructors:

    Weiyang Li


    Term: Spring 2024
    Time: 3A
    Location: –
    Instructors:

    Weiyang Li


  • ENGS 139.10
    Polar Science & Engineering: Solidification, Sea Ice, Strength & Fracture of Ice

    Description

    This course focusses on three topics relevant to science and engineering within the polar regions of Earth: solidification of fluids, the nature of sea ice and the strength and fracture of ice .Each topic is treated as a separate module, 8-10 lectures in length.

    Prerequisites

    ENGS 23 or permission of instructor

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 10A
    Location:

    Cummings 105

    Instructors:

    Erland M. Schulson


    Term: Spring 2024
    Time: Arrange
    Location: –
    Instructors:

    Erland M. Schulson


  • ENGS 139.20
    Polar Science & Engineering: Physics & Chemistry of Ice, Polar Glaciology, Remote Sensing

    Description

    This course focusses on three topics relevant to science and engineering within the polar regions of Earth: physics and chemistry of ice, glacial hydrology and remote sensing of polar landscapes., 8-10 lectures in length.

    Prerequisites

    Prerequisites: ENGS 24, general chemistry (full year), or permission of instructor.

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2023
    Time: 10A
    Location:

    ECSC 005

    Instructors:

    Erland M. Schulson


  • ENGS 142
    Intermediate Solid Mechanics

    Description

    Exact and approximate solutions of the equations of elasticity are developed and applied to the study of stress and deformation in structural and mechanical elements. The topics will include energy methods, advanced problems in torsion and bending, stress concentrations, elastic waves and vibrations, and rotating bodies. Although most applications will involve elastic deformation, post-yield behavior of elastic-perfectly plastic bodies will also be studied. The course will also include numerous applications of finite element methods in solid mechanics.

    Prerequisites

    ENGS 71 or ENGS 76 or equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Fall 2022
    Time: 3A
    Location:

    ECSC041

    Instructors:

    Yan Li


    Term: Fall 2023
    Time: 3A
    Location: –
    Instructors:

    Yan Li


  • ENGS 144
    Engineering Simulation for Mechanical Design and Analysis

    Description

    his course emphasizes the practical application of state-of-the-art engineering simulation tools and techniques for mechanical design and analysis. Students will create virtual prototypes and conduct fluid flow, heat transfer, and structural analyses using sophisticated computational models to predict mechanical performance under real life conditions. The course includes a survey of techniques for coupled multiphysics simulations such as thermo-fluid and fluid-structure interactions. Performance-based, simulation-driven design and design optimization concepts will be introduced. Topics presented in the classroom will be reinforced through hands-on tutorial exercises and the completion of a simulation project.

    Prerequisites

    ENGS 76 plus at least one of ENGS 23, 25, or 34 (or permission of the instructor)
  • ENGS 145
    Modern Control Theory

    Description

    A continuation of ENGS 26, with emphasis on digital control, state-space analysis and design, and optimal control of dynamic systems. Topics include review of classical control theory, discrete-time system theory, discrete modeling of continuous-time systems, transform methods for digital control design, the state-space approach to control system design, optimal control, and effects of quantization and sampling rate on performance of digital control systems. Laboratory exercises reinforce the major concepts; the ability to program a computer in a high-level language is assumed.

    Prerequisites

    ENGS 26

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 10A
    Location: –
    Instructors:

    Minh Q. Phan


    Term: Spring 2023
    Time: 10A
    Location:

    ECSC 041

    Instructors:

    Minh Q. Phan


    Term: Fall 2023
    Time: 10A
    Location: –
    Instructors:

    Minh Q. Phan


    Term: Fall 2024
    Time: 10A
    Location: –
    Instructors:

    Minh Q. Phan


  • ENGS 146
    Computer-Aided Mechanical Engineering Design

    Description

    An investigation of techniques useful in the mechanical design process. Topics include computer graphics, computer-aided design, computer-aided manufacturing, computer-aided (finite element) analysis, and the influence of manufacturing methods on the design process. Project work will be emphasized. Enrollment is limited to 24 students.

    Prerequisites

    ENGS 76

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2022
    Time: 2A
    Location: –
    Instructors:

    Solomon G. Diamond


    Term: Spring 2023
    Time: 3B
    Location:

    MACLEAN 210

    Instructors:

    Eric S. Bish


    Term: Spring 2024
    Time: 2A
    Location: –
    Instructors:

    Solomon G. Diamond


  • ENGS 147
    Mechatronics

    Description

    Mechatronics is the systems engineering approach to computer-controlled products. This course will integrate digital control theory, real-time computing, software design, sensing, estimation, and actuation through a series of laboratory assignments, complementary lectures, problem sets, and a final project. Topics covered will include microprocessor based real-time computing, digital control, state estimation, signal conditioning, sensors, autonomous navigation, and control architectures for autonomous systems.

    Prerequisites

    ENGS 26 or ENGS 145; two of ENGS 31, ENGS 32, ENGS 33, ENGS 76, or equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Spring 2023
    Time: 3A
    Location:

    MACLEAN 132

    Instructors:

    Laura E. Ray

    Michael A. Kokko


  • ENGG 148
    Structural Mechanics

    Description

    Development and application of approximate and "exact" analytical and computational methods of analysis to a variety of structural systems, including trusses, two- and three-dimensional frames, plates and/or shells. Modeling of structural systems as one and multi degree of freedom lumped systems permits analysis under a variety of dynamic loads as well as providing an introduction to vibration analysis.

    Prerequisites

    ENGS 33

    Notes

    Can be used by undergraduates for A.B. course count only

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2023
    Time: 10A
    Location:

    ECSC 127

    Instructors:

    Minh Q. Phan


  • ENGG 149
    Introduction to Systems Identification

    Description

    This course provides the fundamentals of system identification theory and its applications to mechanical, electrical, civil, and aerospace systems. Several state-of-the-art identification algorithms in current engineering practice will be studied. The following topics are covered: discrete-time and continuous-time models, state-space and input-output models, Markov parameters, observer Markov parameters, discrete Fourier transform, frequency response functions, singular value decomposition, least-squares parameter estimation, minimal realization theory, observer/Kalman filter identification, closed-loop system identification, nonlinear system identification, recursive system identification, and introduction to adaptive control.

    Prerequisites

    ENGS 22 and ENGS 26, or equivalent

    Offered

    Term
    Time
    Location / Method
    Instructor(s)
    Term: Winter 2022
    Time: 10A
    Location:

    MacLean 001

    Instructors:

    Minh Q. Phan


    Term: Winter 2024
    Time: 10A
    Location: –
    Instructors: