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Course Listing

For a snapshot of courses being offered by Harvard School of Engineering over the next four years, visit our Muliti Year Course Planning tool.

Flavor Molecules of Food Fermentation: Exploration and Inquiry

ENG-SCI 24
2022 Spring

Pia Sorensen

Microorganisms produce a diverse array of specialized small molecules as part of their metabolic processes. In this course we will study the production, properties, and characterization of these molecules through the lens of food fermentation. In particular, we will focus on the small molecules that contribute taste and aroma in fermented foods. Students will experience the scientific inquiry process in a creative way by designing and implementing their own research project based on a fermented food of their choosing. Still a field with much potential for discovery, interested students are invited to continue their research project in the summer.

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Humanity and its Futures: Systems Thinking Approaches

ENG-SCI 26
2022 Spring

Fawwaz Habbal, Vikram Mansharamani

As citizens in a rapidly changing world facing increasingly complex challenges, the skills that tomorrow’s leaders need are increasingly crossing disciplinary silos. Humanity’s most pressing problems are interconnected, involve competing interests, and defy simplification into single disciplines.  Reductionist approaches focused on linear understanding must be balanced against the integrative logic of systems-oriented thinking.  Depth must be balanced with breadth.
This course will give students an appreciation for the complexities of today’s most intractable problems, and in so doing, help students develop a methodology for navigating the world they will face.  After an overview of systems thinking and its emphasis on interconnections and feedback loops, the course will explore several issues and the complications they generate.  Over the course of the semester, topics including epidemics, inequality, human displacement, and food systems will be addressed.
The course will employ multiple methods of learning, with course preparation varying from reading novels to watching videos to reviewing academic papers. Each case will include an overview of the issue and why it matters, before exploring existing disciplinary approaches to address the challenge. Prior thinking is evaluated both in terms of its rigor and is effectiveness.  What worked and didn’t work? Why?
Students will learn to employ systems thinking using a multi-disciplinary method to evaluate possible solutions.  This future-oriented analysis will emphasize the necessity to zoom out and paint a mosaic of possible unintended consequences and roadblocks that may impede progress. By the end of the course, students should have developed a robust framework for integrating economic, political, technical, ethical, and social lenses into an analysis of complex problems and their potential solutions.

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Introduction to Electrical Engineering

ENG-SCI 50
2022 Spring

Marko Loncar, Chris Lombardo

The main course objectives are to introduce students to the exciting and powerful world of electrical engineering and to explain how gadgets that we use every day actually work. After taking ES 50, you will be able to leverage the power of electricity to build systems that sense, control and program the physical world around you. Examples include intelligent and autonomous systems (robots), audio amplifiers (e.g. guitar amp), interactive art installations, light-shows, mind-controlled machines, and so on.

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Computer-Aided Machine Design

ENG-SCI 51
2021 Fall

An introductory course in the design, fabrication, and assembly of mechanical and electromechanical devices. Topics include: Engineering graphics and tolerances; Structural design and material selection; Machine elements and two-dimensional mechanisms; DC motors; Design methodology. Emphasis on hands-on work and team design projects using professional solid modeling CAD software and numerically controlled machine tools.

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Computer-Aided Machine Design

ENG-SCI 51
2022 Spring

An introductory course in the design, fabrication, and assembly of mechanical and electromechanical devices. Topics include: Engineering graphics and tolerances; Structural design and material selection; Machine elements and two-dimensional mechanisms; DC motors; Design methodology. Emphasis on hands-on work and team design projects using professional solid modeling CAD software and numerically controlled machine tools.

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Quantitative Physiology as a Basis for Bioengineering

ENG-SCI 53
2021 Fall

Linsey Moyer

This course is designed as an introduction to thinking as a bio/biomedical engineer and is recommended for first years and sophomores but open to all students. Simple mathematical models are used to represent key aspects of organ systems function. Core engineering concepts are explored through mechanical and electrical examples within the human body. The primary focus is on quantitative descriptions of organ systems function and control in terms of physical principles and physiologic mechanisms. It includes a foundation in human organ systems physiology, including cardiovascular, pulmonary, and renal systems. Emphasis will be given to understanding the ways in which dysfunction in these systems gives rise to common human disease processes.

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Humanitarian Design Projects

ENG-SCI 91HFR
2021 Fall

Chris Lombardo

Multi-year long team projects that provide an engineering experience working with partner communities on real-world problems. Projects provide exposure to problem definition, quantitative analysis, modeling, generation of creative solutions utilizing appropriate technology, engineering design trade-offs, and documentation/communication skills. These projects will be implemented with our project partners after the appropriate design and approvals have been obtained.

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Humanitarian Design Projects

ENG-SCI 91HFR
2022 Spring

Chris Lombardo

Multi-year long team projects that provide an engineering experience working with partner communities on real-world problems. Projects provide exposure to problem definition, quantitative analysis, modeling, generation of creative solutions utilizing appropriate technology, engineering design trade-offs, and documentation/communication skills. These projects will be implemented with our project partners after the appropriate design and approvals have been obtained.

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Entrepreneurship and Innovation: Practical and Academic Insights

ENG-SCI 94
2022 Spring

Josh Lerner

Entrepreneurship is increasingly transforming our society and economy. This course aims to provide for undergraduates an introduction to entrepreneurship and its implications for innovation. The class will primarily consist of case study discussions, but will include some traditional lecture sessions that built on academic papers to provide more frameworks. As such, it draws primarily on materials from the introductory MBA course at Harvard Business School, “The Entrepreneurial Manager” (TEM). Students will be expected to come to class prepared to discuss the cases.

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Startup R & D

ENG-SCI 95R
2021 Fall

Paul Bottino

Students do field-based work in entrepreneurship to develop their existing startup and explore new ideas and opportunities for startup design. The course is for students seeking innovation experience as a founder of a startup. Students may work individually; teams are preferred. Requires self-directed, independent work and active outreach to mentors, customers, and partners for guidance and feedback in addition to that provided by the instructor. Students will share their work regularly and engage in a peer-to-peer feedback forum. The coursework is customized to the needs of each student and their startup role and includes development of product, technology, market, business, organization and leadership.

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Startup R & D

ENG-SCI 95R
2022 Spring

Paul Bottino

Students do field-based work in entrepreneurship to develop their existing startup and explore new ideas and opportunities for startup design. The course is for students seeking innovation experience as a founder of a startup. Students may work individually; teams are preferred. Requires self-directed, independent work and active outreach to mentors, customers, and partners for guidance and feedback in addition to that provided by the instructor. Students will share their work regularly and engage in a peer-to-peer feedback forum. The coursework is customized to the needs of each student and their startup role and includes development of product, technology, market, business, organization and leadership.

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Engineering Problem Solving and Design Project

ENG-SCI 96
2021 Fall

Samir Mitragotri

Semester-long team-based project providing experience working with clients on complex multi-stakeholders real problems. Course provides exposure to problem definition, problem framing, qualitative and quantitative research methods, modeling, generation and co-design of creative solutions, engineering design trade-offs, and documentation/communication skills. Ordinarily taken in the junior year.

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Engineering Problem Solving and Design Project

ENG-SCI 96
2022 Spring

Fawwaz Habbal, Julia Lee, Kelly Miller, Jeffrey Paten

Semester-long team-based project providing experience working with clients on complex multi-stakeholders real problems. Course provides exposure to problem definition, problem framing, qualitative and quantitative research methods, modeling, generation and co-design of creative solutions, engineering design trade-offs, and documentation/communication skills. Ordinarily taken in the junior year.

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Engineering Design Projects

ENG-SCI 100HFA
2021 Fall

Frank Keutsch, Chris Lombardo, Linsey Moyer, Peter Zoogman

Individual engineering design projects which demonstrate mastery of engineering knowledge and techniques. During the year, each student will pursue an appropriate capstone project which involves both engineering design and quantitative analysis and culminating in a final oral presentation and final report/thesis.  Students must complete both parts of this course, fall and spring, in order to receive credit.

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Engineering Design Projects

ENG-SCI 100HFB
2022 Spring

Peter Zoogman, Chris Lombardo

Individual engineering design projects which demonstrate mastery of engineering knowledge and techniques. During the year, each student will pursue an appropriate capstone project which involves both engineering design and quantitative analysis and culminating in a final oral presentation and final report/thesis.  Students must complete both parts of this course, fall and spring, in order to receive credit. 

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Thermodynamics by Case Study

ENG-SCI 112
2022 Spring

Scot Martin
Monday, Wednesday
12:00pm to 1:15pm

Fundamental concepts and formalisms of conservation of energy and increase of entropy as applied to natural and engineered environmental and biological systems. Pedagogical approach is to start with real-world observations and applications, extracting the underlying fundamentals of thermodynamics from these.

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Mathematical Modeling

ENG-SCI 115
2022 Spring

Zhiming Kuang

Abstracting the essential components and mechanisms from a natural system to produce a mathematical model, which can be analyzed with a variety of formal mathematical methods, is perhaps the most important, but least understood, task in applied mathematics. This course approaches a number of problems without the prejudice of trying to apply a particular method of solution. Topics drawn from biology, economics, engineering, physical and social sciences.

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Introduction to the Mechanics of Solids

ENG-SCI 120
2022 Spring

A first course in the mechanical sciences which introduces elements of continuum mechanics and explains how materials and structures stretch, bend, twist, shake, buckle, and break. Stress-strain behavior of materials. Statically determinate and indeterminate structures. Stress and strain, equations of motion or equilibrium, strain-displacement relations. Torsion. Beam theory with applications to beam deflections, vibrations, and buckling. Three laboratory sessions required.

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Introduction to Optimization: Models and Methods

ENG-SCI 121
2021 Fall

Margo Levine

Introduction to basic mathematical ideas and computational methods for solving deterministic optimization problems. Topics covered: linear programming, integer programming, branch-and-bound, branch-and-cut. Emphasis on modeling. Examples from business, society, engineering, sports, e-commerce. Exercises in AMPL, complemented by Mathematica or Matlab.

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Introduction to Fluid Mechanics and Transport Processes

ENG-SCI 123
2022 Spring

Petros Koumoutsakos

Panta rhei; Energy and Entropy; Atomistic-Mesoscale-Continuum Fluids and Flows; Dimensional Analysis; Atomistic descriptions of Liquids, Gases and their interfaces;  Atomistic, Mesoscale, Continuum descriptions of Diffusion Processes; Surface Tension: bubbles and droplets; Fluid kinematics; Eulerian and Lagrangian descriptions; Macroscale conservation laws for incompressible flows; Mass conservation and potential flows; Momentum conservation and the Navier-Stokes equations; Vorticity and Vortices; Lift and Drag in Aerodynamics; Flows in Pipes and Channels; Elementary concepts of Turbulent flows.

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Mechanical Systems

ENG-SCI 125
2021 Fall

Boris Kozinsky

Modeling and analysis of mechanical systems. Topics include 3D rigid body dynamics, resonance, damping, frequency response, Laplace transform methods, Lagrange's equations, multiple degree-of-freedom systems and an introduction to control and continuous systems. Analytical modeling will be supplemented with numerical simulations and lab experiments. Laboratory exercises will explore vibration, and stabilization using data acquisition systems.

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Innovation in Science and Engineering: Conference Course

ENG-SCI 139
2021 Fall

David Weitz

Explores factors and conditions contributing to innovation in science and engineering; how important problems are found, defined, and solved; roles of teamwork and creativity; and applications of these methods to other endeavors. Students receive practical and professional training in techniques to define and solve problems, and in brainstorming and other individual and team approaches.

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Probability with Engineering Applications

ENG-SCI 150
2022 Spring

Yue Lu

This course introduces the fundamentals of probability theory for parameter estimation and decision making under uncertainty. It considers applications to information systems as well as other physical and biological systems. Topics include: discrete and continuous random variables, conditional expectations, Bayes’ rules, laws of large numbers, central limit theorems, Markov chains, Bayesian statistical inferences, and parameter estimations.

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Circuits, Devices, and Transduction

ENG-SCI 152
2021 Fall

Gage Hills, Woodward Yang

This course introduces fundamentals in designing and building modern information devices and systems that interface with the real world. It focuses on devices and systems that use analog electronics, and it complements COMPSCI 141, which focuses on digital devices and systems. Topics of this course include: time and frequency domain analysis of simple 1st and 2nd order circuits; operational amplifiers and op-amp circuits; basic semiconductor physics; PN junctions and diodes; bipolar junction transistors (BJT); field-effect transistors (MOSFETs); bias circuits and current sources; amplifier gain and bandwidth; frequency response, feedback, noise, and stability. Further, students are introduced to select transducers, particularly motors and their concomitant drive schemes, but also photocells, photodiodes, and semiconductor lasers to highlight device design and characterization.

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Systems and Control

ENG-SCI 155
2021 Fall

Yue Lu

This course and its follow-on course ENG-SCI 156 concern the fundamentals of information systems in the real world. Together they provide a comprehensive foundation in signal processing, systems design and analysis, control, and communications, while also introducing key linear-algebraic concepts in the context of authentic applications. The first course, ENG-SCI 155, focuses on the basic principles of feedback and its use as a tool for inferring and/or altering the dynamics of systems under uncertainty. Topics include linear algebra, the elemental representations of dynamic systems, stability analysis, the design of estimators (e.g., Kalman Filter) and feedback controllers (e.g., PID and Optimal Controller). The class includes both the practical and theoretical aspects of the topic.

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Signals and Communications

ENG-SCI 156
2022 Spring

Todd Zickler

This course is a follow-on to ENG-SCI 155 and continues to develop the fundamentals of information systems in the real world. It focuses on the analysis and manipulation of signals in the time and frequency domains in the context of authentic applications. Topics include: the sampling theorem, convolution, and linear input-output systems in continuous and discrete time. Further, students are introduced to transforms—including Fourier, discrete cosine, wavelet, and PCA / SVD ‘transforms’—that map between vector spaces via matrix multiplication as a method to ease analysis provided conditionalized knowledge. Randomness, noise, and filtering. Waves and interference in the context of communications; antennae, phasors, modulation, multiplexing. Applications in communications and data science.

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Biological Signal Processing

ENG-SCI 157
2021 Fall

Demba Ba

This is the first course on Biological Signal Processing, the science of collection, representation, manipulation, transformation, storing of biological signals, and the use of modern scientific computing tools (Python, Jupyter notebooks) to interpret biological signals and tell engaging and informative stories using biological data. The signals of interest can be deterministic, semi-periodic, transient, random, stationary, non-stationary, etc., depending on their source and generation mechanism. We will use EEG, EKG, temperature data, neural spiking data, and data from Covid-19 as examples. Our focus will be on foundational signal processing concepts that can be applied in a variety of biological applications. Examples include the Fourier Transform, Principal Component Analysis, Clustering, etc. Applications include those to patient monitoring, diagnostics, patient prognostics, online monitoring, and the computation of wellness measures. For many of us, one frustrating aspect of Covid-19 is our inability to understand figures that are reported, such as infection rates and numbers. We will introduce you to a powerful suite of mathematical and scientific computing tools will enable you to evaluate and make decisions based on evidence and data.

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Introduction to Robotics

ENG-SCI 159
2021 Fall

Justin Werfel

Introduction to computer-controlled robotic manipulators. Topics include coordinate frames and transformations, kinematic structure and solutions, statics and dynamics of serial and parallel chain manipulators, control and programming, introduction to path planning, introduction to teleoperation, robot design, and actuation and sensing devices. Laboratory exercises provide experience with industrial robot programming and robot simulation and control.

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Introduction to Electronic and Photonic Devices

ENG-SCI 173
2021 Fall

Evelyn Hu

This course will focus on physical principles underlying semiconductor devices: electrons and holes in semiconductors , energies and bandgaps, transport properties of electrons and holes, p-n junctions, transistors, light emitting diodes, lasers, solar cells and thermoelectric devices.

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Engineering Thermodynamics

ENG-SCI 181
2021 Fall

Michael Aziz

Introduction to classical engineering thermodynamics. Topics: Zeroth Law and temperature. Properties of single-component gases, liquids, and solids. Equations of state for ideal and simple nonideal substances. First Law, heat and heat transfer, work, internal energy, enthalpy. Second Law, Third Law, entropy, free energy, exergy. Heat engines and important engineering applications such as refrigerators, power cycles. Properties and simple models of solutions. Phase and chemical equilibrium in multicomponent systems; chemical potential. Electrochemistry, batteries, fuel cells. Laboratory included.

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Introduction to Heat Transfer

ENG-SCI 183
2022 Spring

Frans Spaepen

The macroscopic description of the fundamentals of heat transfer and applications to practical problems in energy conversion, electronics and living systems with an emphasis on developing a physical and analytical understanding of conductive, convective and radiative heat transfer. Emphasis will also be given to problem solving skills based on applying governing principles, mathematical models and physical intuition. Includes laboratory sessions and semester-long projects.

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Introduction to Materials Science and Engineering

ENG-SCI 190
2022 Spring

Xin Li

Introduction to the structure, properties, and applications of materials. Crystal structure and defects. Structure property relations and crystal symmetry. Phase transformations, phase diagrams, diffusion. Effect of microstructure on properties. Examples from a variety of engineering applications of electrical, optical and magnetic materials.

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Materials Selection and Design

ENG-SCI 192
2021 Fall

David Clarke

The repertory of materials available to engineers today and embodied in engineering systems includes tens of thousands of different materials, as well as naturally occurring ones. This course addresses why specific materials are selected for particular applications and the rational basis for their selection. The course is intended to serve as an introduction to the principles and methodology of selecting materials for engineering components based on the functionality and purpose of the component in different system applications and operating environments. The selection specification includes satisfying a variety of objectives, such as minimizing weight, cost (financial as well as environmental), end of life recycling and material scarcity.

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Learning, Estimation, and Control of Dynamical Systems

ENG-SCI 202
2022 Spring

Na Li

This graduate level course studies dynamic systems in time domain with inputs and outputs. Students will learn how to design estimator and controller for a system to ensure desirable properties (e.g., stability, performance, robustness) of the dynamical system. In particular, the course will focus on systems that can be modeled by linear ordinary differential equations (ODEs) and that satisfy time-invariance conditions. The course will introduces the fundamental mathematics of linear spaces, linear operator theory, and then proceeds with the analysis of the response of linear time-variant systems. Advanced topics such as robust control, model predictive control, linear quadratic games and distributed control will be presented based on allowable time and interest from the class. The material learned in this course will form a valuable foundation for further work in systems, control, estimation, identification, detection, signal processing, and communications.

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Drug Delivery

ENG-SCI 221
2022 Spring

Samir Mitragotri

Methods to deliver molecules to the human body. Physiological obstacles and engineering solutions. Characterization techniques for drug delivery synthesis and in vitro analysis. Case studies of current pharmaceutical products.

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Advanced Cellular Engineering

ENG-SCI 222
2021 Fall

Kit Parker

This is a combined introductory graduate/upper-level undergraduate course that focuses on examining modern techniques for manipulating cellular behavior and the application of these techniques to problems in the biomedical and biotechnological arenas. Applications in drug discovery, regenerative medicine, and cellular agriculture will be discussed. Topics will include controlling behavior of cells through cell-matrix interactions, cytoskeletal architecture, and cell behavior in processes such as angiogenesis and wound healing. Lectures will review fundamental concepts in cell biology before delving into topical examples from current literature. Students will work weekly in the lab learning cell culture techniques, soft lithography, microscopy, and classical in vitro assays measuring cell behavior.

 

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Survey of Energy Technology

ENG-SCI 229
2022 Spring

Michael Aziz

Principles governing energy generation and interconversion. Current and projected world energy use. Selected important current and anticipated future technologies for energy generation, interconversion, storage, and end usage.

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Advanced Tissue Engineering

ENG-SCI 230
2022 Spring

David Mooney

Fundamental engineering and biological principles underlying field of tissue engineering, along with examples and strategies to engineer specific tissues for clinical use. Student design teams prepare a research proposal and participate in a weekly laboratory.

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Energy Technology

ENG-SCI 231
2022 Spring

Michael Aziz
Friday

Principles governing energy generation and interconversion. Current and projected world energy use. Selected important current and anticipated future technologies for energy generation, interconversion, storage, and end usage.

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Technology Venture Immersion

ENG-SCI 234
2022 Spring

Conor Walsh, Thomas Eisenmann

Using a learning-by-doing approach, student teams will work on their own venture concepts in this intensive immersion course. The course will convey concepts and builds skills required in early stage technology ventures, including problem finding (human-centered design, customer discovery), solution finding (ideation methods, prototyping, user testing), business model validation (hypothesis generation, minimum viable products, lean experimentation), sales and marketing methods, venture financing, and team building and leadership skills. Enrollment limited to first-year MS/MBA: Engineering Sciences students only.

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Solid Mechanics

ENG-SCI 240
2021 Fall

Joost Vlassak

Foundations of solid mechanics, development of elasticity theory, and introduction to  linear visco-elasticity and plasticity. Basic elasticity solutions. Variational principles. Deformation of plates. Introduction to large deformation.

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Advanced Elasticity

ENG-SCI 241
2021 Fall

Zhigang Suo

Finite deformation; instabilities; thermodynamics; thermoelasticity; poroelasticity; electroactive polymers, hydrogels, polyelectrolyte gels

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Information Theory

ENG-SCI 250
2021 Fall

Flavio du Pin Calmon

Fundamental concepts of information theory, Entropy, Kullback-Leibler divergence, Mutual information; typical sequences and their applications, Loss-less data compression, Huffman codes, Elias Codes, Arithmetic Codes, Discrete Memory-less Channels, Channel Coding and Capacity, Differential Entropy, Gaussian Channels, rate distortion theory, Multi-user Information Theory, Connections between information theory and statistics.

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Advanced Topics in Robotics Research

ENG-SCI 252R
2022 Spring

Robert D. Howe

A graduate seminar course on advanced topics in robotics research. Students read and present research papers and undertake a research project. Spring 2022 will focus on robotic grasping and manipulation and surgical robotics.

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Introduction to Bioelectronics

ENG-SCI 258
2022 Spring

Jia Liu

This course provides an introduction to bioelectronics and its applications in neuroscience, neuroengineering, cardiology, wearable technology and so on. The focus is on the basic principles of bioelectricity, biochemistry and physiological behaviors of biological systems and how to design tools to precisely measure and control them. Key themes throughout the course will include bioelectricity, biochemistry, cellular and tissue physiological behavior, optogenetics, sensors, stimulators, circuits, signals, biointerface and applications. This includes both the practical and theoretical aspects of the topic.

The contents and course requirements are similar to those of Biomedical Engineering 129 (BE 129), with the exception that students enrolled in Engineering Sciences 258 (ENG-SCI 258) are expected to undertake a substantial course project.

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Advanced Introduction to Robotics

ENG-SCI 259
2021 Fall

Justin Werfel

Course requirements are similar to Engineering Sciences 159, with the exception that students enrolled in Engineering Sciences 259 are required to prepare a term project analyzing current research in a specific problem area within Robotics.

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Optics and Photonics

ENG-SCI 273
2021 Fall

Federico Capasso, Marko Loncar

The focus is on the foundations of optics/photonics and on some of its most important modern developments and applications. Powerful and widely used computational tools will be developed in the sections. Topics to be covered: Maxwell's equations, Free space optics. Reflection, refraction, polarization (Jones Calculus and Stokes parameters); interference and diffraction. Light-matter interaction, dispersion and absorption. Guided wave optics (including optical fibers). Perturbation and couple mode theory, transfer matrix methods; numerical methods. Optical resonators.  Photonic crystals. Near-field optics. Metal optics and Plasmonics. Metamaterials and Metasurfaces.

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Quantum Devices

ENG-SCI 274
2021 Fall

Marko Loncar, Federico Capasso

The focus of this course are quantum devices that have revolutionized the field of information science and technology. Particular emphasis this year will be on optical devices and communication technology. First, quantum devices that have enabled development of internet will be discussed, including semiconductor lasers, modulators and photo-detectors. Next, emerging quantum devices that will lead to so-called “second quantum revolution” and development of quantum internet and quantum computers will be introduced. These include single-photon sources and detectors, quantum memories, physical implementations of quantum gates, etc.. Topics that will be covered include quantum dots, color centers in solids, trapped ions and atoms, photon pair generation, quantum teleportation, quantum cryptography and quantum repeaters. The course is a mixture of quantum mechanics, semiconductor device physics, nanophotonics, quantum electronics and quantum optics. 

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Design Theory and Practice

ENG-SCI 285
2021 Fall

Elizabeth Christoforetti, Roberto Verganti

Any organization, business or venture grounds its value on how “meaningful” are its products (functionally, symbolically and emotionally). Design Theory and Practice (DTP) empowers students to create products that are meaningful, to people who use them and to society at large. The course has three purposes:
1. To inspire students about the power of design in new business creation. We will address questions such as: Why is design relevant in tech ventures? How does it create value? And, most of all, why is it fundamental for a technology entrepreneur/leader?
2. To enable them to move into action, by learning the theories and practice (mindsets, processes, methods) of design: Where do ideas come from? How to frame (and especially re-frame) a problem? How to understand what is meaningful to users? How to make a product desirable (functionally, emotionally and symbolically)? How to design and build the user interface of a product? How to test it? How to narrate and visualize a novel idea?
3. To co-explore, with the class and the instructor, the use of design as a leadership practice: How does a leader who masters design can better contribute to creation of value? How can we forge a new manifesto for leadership, inspired by design?
The course is intensively project-based. Students will work in teams on a complex innovation challenge proposed by a real corporation. They will suggest a more effective framing of the problem, and create a novel meaningful solution, with a special focus on the user interface.
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Nano Micro Macro: Adaptive Material Laboratory

ENG-SCI 291
2021 Fall

Joanna Aizenberg, Jonathan Grinham

This course is an interdisciplinary platform for designers, engineers, and scientists to interact and develop innovative new products. The course introduces ideas-to-innovation processes in a hands-on, project/product focused manner that balance design and engineering concepts with promising, real-world opportunities. Switching back and forth between guided discovery and focused development, between bottom-up and top-down thinking, and market analyses, the course helps students establish generalizable frameworks as researchers and innovators with a focus on new and emerging technologies. There are no prerequisites.

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Launch Lab/Capstone 1

ENG-SCI 292A
2022 Spring

Russell J Wilcox, Alan Maccormack

The MS/MBA Capstone is an intensive project that requires teams of students to apply and integrate the skills they have learned across core disciplines developed in the program curriculum. Specifically, teams will be expected to design, build and launch a new technology-based product/service venture, and thereby to demonstrate mastery with respect to three areas of knowledge: Design Knowledge: The use of human-centered design methods to understand users, identify solutions to their needs, and gather feedback via rapid, iterative prototyping. Technical Knowledge: The use of rigorous system engineering methods to plan, design, develop, build, and test a complex technology-based product/service, integrating knowledge across multiple engineering disciplines. Business Knowledge: The use of business model analysis and lean experimentation methods to develop and test a set of hypotheses that capture how the new product/service will create value, including business model design, pricing, sales and marketing, operating model and profit formula.

The Capstone is divided into two parts, the first of which is an immersive course completed during the January term of the G2 year (Capstone I). The subsequent spring course (Capstone II) follows on from and builds upon work completed in January. In Capstone II, dedicated mentors will be allocated to each team based upon the specific projects they are completing. Given students prior coursework, a working knowledge of human-centered design methods, systems engineering techniques, and business modeling and lean experimentation is assumed. Launch Lab therefore focuses on the practical application of these skills to team projects, supplemented by content in three areas: i) seminars on advanced methods and techniques, ii) workshops that demonstrate how to put these skills and tools into practice, and iii) guest speakers who share their experience in the areas of design, technology and business.
 

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Launch Lab/Capstone 2

ENG-SCI 292B
2022 Spring

Russell J Wilcox, Thomas Eisenmann

The MS/MBA Capstone is an intensive project that requires teams of students to apply and integrate the skills they have learned across core disciplines developed in the program curriculum. Specifically, teams will be expected to design, build and launch a new technology-based product/service venture, and thereby to demonstrate mastery with respect to three areas of knowledge: Design Knowledge: The use of human-centered design methods to understand users, identify solutions to their needs, and gather feedback via rapid, iterative prototyping. Technical Knowledge: The use of rigorous system engineering methods to plan, design, develop, build, and test a complex technology-based product/service, integrating knowledge across multiple engineering disciplines. Business Knowledge: The use of business model analysis and lean experimentation methods to develop and test a set of hypotheses that capture how the new product/service will create value, including business model design, pricing, sales and marketing, operating model and profit formula.

The Capstone is divided into two parts, the first of which is an immersive course completed during the January term of the G2 year (Capstone I). The subsequent spring course (Capstone II) follows on from and builds upon work completed in January. Given students prior coursework, a working knowledge of human-centered design methods, systems engineering techniques, and business modeling and lean experimentation is assumed. Launch Lab therefore focuses on the practical application of these skills to team projects, supplemented by content in three areas: i) seminars on advanced methods and techniques, ii) workshops that demonstrate how to put these skills and tools into practice, and iii) guest speakers who share their experience in the areas of design, technology and business.
 

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Introduction to Additive Manufacturing

ENG-SCI 296A
2021 Fall

James Weaver

We will explore the history, technologies, materials, and applications of additive manufacturing in fields ranging from mechanical engineering and composites, to complex data visualization and product design. The course will be structured around weekly modeling and fabrication tutorials using on-campus 3D printers and will emphasize interdisciplinary and collaborative group exercises.

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Professional Writing for Scientists and Engineers

ENG-SCI 297
2021 Fall

Jenny Hoffman, Suzanne Smith
Wednesday
3:00pm to 5:00pm

This class leads students to develop their skills in the critical reading and writing of science and engineering. Genres will include research articles, grant proposals, school/fellowship/job applications, or lay abstracts & press releases for the non-scientific public. Crucially, students will be empowered not only to achieve their own writing goals, but also to break down these learned skills and impart them to others, as effective collaborators and mentors of younger students.

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Professional Writing for Scientists and Engineers

ENG-SCI 297
2022 Spring

Suzanne Smith, Daniel Needleman
Wednesday
3:00pm to 5:00pm

This class leads students to develop their skills in the critical reading and writing of science and engineering. Genres will include research articles, grant proposals, school/fellowship/job applications, or lay abstracts & press releases for the non-scientific public. Crucially, students will be empowered not only to achieve their own writing goals, but also to break down these learned skills and impart them to others, as effective collaborators and mentors of younger students.

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Special Topics in Engineering Sciences

ENG-SCI 299R
2021 Fall

Supervision of experimental or theoretical research on acceptable problems in engineering and applied science and supervision of reading on topics not covered by regular courses of instruction.

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Special Topics in Engineering Sciences

ENG-SCI 299R
2022 Spring

Supervision of experimental or theoretical research on acceptable problems in engineering and applied science and supervision of reading on topics not covered by regular courses of instruction.

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