Engineering Sciences Courses

For more information on specific courses, including prerequisites, registration details and any last-minute changes, visit my.harvard

Design Survivor: Experiential Lessons in Designing for Desirability

ENG-SCI 22
2020 Spring
B Altringer
Monday, Wednesday
09:00am to 11:45am

Multi-disciplinary course for students interested in designing products and services that are simple, irresistible, delightful, cool, covetable, viral, and, increasingly these days, much more likely to be successful. Students study real world cases of how organizations (e.g., Apple, Gucci, Swarovski) strategically design for desirability. In weekly design challenges, students use analogical transfer to apply these insights to diverse industries and target markets (e.g., health literacy campaigns, declining technologies, the future of luxury). Weekly critique panels with experts enable students to develop their own design point of view and to finish with a diverse design portfolio.

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Flavor Molecules of Food Fermentation: Exploration and Inquiry

ENG-SCI 24
2020 Spring
Pia Sorensen
Monday, Wednesday
03:00pm to 05:45pm

Course description: 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 Challenges: Systems Thinking and Approaches

ENG-SCI 26
2020 Spring
Vikram Mansharamani
Monday
03:00pm to 05:45pm

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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Computer-Aided Machine Design

ENG-SCI 51
2019 Fall
Michelle Rosen
Monday, Wednesday, Friday
10:30am to 11:45am

A first course in the design and construction of mechanical and electromechanical devices. Engineering graphics and sketching; dimensions and tolerances. Introduction to materials selection and structural design. Machine elements and two-dimensional mechanisms; DC motors. Design methodology. Emphasis on laboratory work and design projects using professional solid modeling CAD software and numerically controlled machine tools.

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Computer-Aided Machine Design

ENG-SCI 51
2020 Spring
Michelle Rosen
Monday, Wednesday, Friday
10:30am to 11:45am

A first course in the design and construction of mechanical and electromechanical devices. Engineering graphics and sketching; dimensions and tolerances. Introduction to materials selection and structural design. Machine elements and two-dimensional mechanisms; DC motors. Design methodology. Emphasis on laboratory work and 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
2019 Fall
Linsey Moyer
Monday, Wednesday, Friday
12:00pm to 01:15pm

A foundation in human organ systems physiology, including cardiac, respiratory, renal, and neural systems. Quantitative description of organ systems function and control in terms of physical principles and physiologic mechanisms. Simple mathematical models representing key aspects of organ systems function. Emphasis will be given to understanding the ways in which dysfunction in these systems gives rise to common human disease processes, with an introduction to biomedical devices designed to treat dysfunction. The course is designed for freshman and sophomores.

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Electronics for Engineers

ENG-SCI 54
2020 Spring
TBA
Monday, Wednesday
12:00pm to 01:15pm

This course is a practical introduction to analog and digital electronics for engineers. Topics will include aspects of analog circuit theory, discrete digital circuits, and embedded systems that utilize microcontrollers to process inputs from sensors and act on the world accordingly, for instance through motor control. There will be extensive hands-on laboratories to put into practice the topics covered in lecture. This course meets the electronics course requirement for mechanical engineers and bioengineers (i.e., for those bioengineering tracks that require electronics/circuits). This course is not intended for electrical engineering concentrators.

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Humanitarian Design Projects

ENG-SCI 91HFR
2019 Fall
Christopher Lombardo
Tuesday
06:00pm to 07:15pm

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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Supervised Reading and Research

ENG-SCI 91R
2019 Fall
Christopher Lombardo,
Patrick Ulrich,
Linsey Moyer

Guided reading and research.

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Humanitarian Design Projects

ENG-SCI 91HFR
2020 Spring
Christopher Lombardo
Tuesday
06:00pm to 07:15pm

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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Supervised Reading and Research

ENG-SCI 91R
2020 Spring
Patrick Ulrich,
Christopher Lombardo,
Linsey Moyer

Guided reading and research.

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Startup R & D

ENG-SCI 95R
2019 Fall
Paul Bottino
Tuesday
03:00pm to 05:45pm

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
2020 Spring
Paul Bottino
Tuesday
03:00pm to 05:45pm

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
2019 Fall
David Mooney
Monday, Wednesday
09:00am to 11:45am

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
2020 Spring
Kelly Miller,
Nabil Harfoush
Monday, Wednesday
12:00pm to 02:45pm

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 100HFB
2019 Fall
Frank Keutsch

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 100HFA
2019 Fall
Frank Keutsch
Thursday
03:00pm to 04:15pm

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
2020 Spring
Frank Keutsch

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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Introduction to Scientific Computing

ENG-SCI 111
2020 Spring
Cengiz Pehlevan
Monday, Wednesday
03:00pm to 04:15pm

Many complex physical problems defy simple analytical solutions or even accurate analytical approximations. Scientific computing can address certain of these problems successfully, providing unique insight. This course introduces some of the widely used techniques in scientific computing through examples chosen from physics, chemistry, and biology. The purpose of the course is to introduce methods that are useful in applications and research and to give the students hands-on experience with these methods.

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Thermodynamics by Case Study

ENG-SCI 112
2020 Spring
Scot Martin
Monday, Wednesday
12:00pm to 01:15pm

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
2019 Fall
L Mahadevan
Tuesday, Thursday
10:30am to 11:45am

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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Mathematical Modeling

ENG-SCI 115
2020 Spring
Ariel Amir
Tuesday, Thursday
01:30pm to 02:45pm

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
2020 Spring
Joost Vlassak
Tuesday, Thursday
01:30pm to 02:45pm

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
2019 Fall
Yiling Chen
Monday, Wednesday
09:00am to 10:15am

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

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Introduction to Fluid Mechanics and Transport Processes

ENG-SCI 123
2020 Spring
Shmuel Rubinstein
Monday, Wednesday, Friday
10:30am to 11:45am

Dimensional analysis. Basic elements of steady and unsteady thermal conduction and mass diffusion. Statics and dynamics of fluids. Buoyancy-stability and hydrostatics. Laminar viscous flows, potential flows, origin of lift, and basic aspects of boundary layers. Navier-Stokes and continuity equations. Applications in aerodynamics, chemical, environmental, and mechanical engineering, and physics.

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Mechanical Systems

ENG-SCI 125
2019 Fall
Boris Kozinsky
Monday, Wednesday
01:30pm to 02:45pm

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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Computational Solid and Structural Mechanics

ENG-SCI 128
2020 Spring
Katia Bertoldi
Monday, Wednesday
03:00pm to 04:15pm

Introduction to finite element methods for analysis of steady-state and transient problems in solid, structural, fluid mechanics, and heat transfer. Implementation of simple MATLAB codes and use of existing general-purpose programs (ABAQUS and COMSOL).

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Innovation in Science and Engineering: Conference Course

ENG-SCI 139
2019 Fall
David Weitz
Tuesday, Thursday
01:30pm to 02:45pm

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
2020 Spring
Yue Lu
Tuesday, Thursday
12:00pm to 01:15pm

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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Applied Electromagnetism

ENG-SCI 151
2020 Spring
Evelyn Hu
Tuesday, Thursday
10:30am to 11:45am

Electromagnetism and its applications in science and technology. Topics: Maxwell's equations; electromagnetic waves (e.g., light, microwaves, etc.); wave propagation through media discontinuity; transmission lines, waveguides, and microwave circuits; radiation and antennae; interactions between electromagnetic fields and matters; optics of solids; optical devices; origin of colors; interference and diffraction; lasers and masers; nuclear magnetic resonance and MRI; radio astronomy; wireless networking; plasmonic wave (charge density wave).

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Circuits, Devices, and Transduction

ENG-SCI 152
2019 Fall
Gu-Yeon Wei
Tuesday, Thursday
01:30pm to 02:45pm

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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Laboratory Electronics

ENG-SCI 153
2019 Fall
Thomas Hayes,
David Abrams
Tuesday, Thursday
01:30pm to 05:45pm

A lab-intensive introduction to electronic circuit design. Develops circuit intuition and debugging skills through daily hands-on lab exercises, each preceded by class discussion, with minimal use of mathematics and physics. Moves quickly from passive circuits, to discrete transistors, then concentrates on operational amplifiers, used to make a variety of circuits including integrators, oscillators, regulators, and filters. The digital half of the course treats analog-digital interfacing, emphasizes the use of microcontrollers and programmable logic devices (PLDs).

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Laboratory Electronics

ENG-SCI 153
2020 Spring
David Abrams
Tuesday, Thursday
01:30pm to 05:45pm

A lab-intensive introduction to electronic circuit design. Develops circuit intuition and debugging skills through daily hands-on lab exercises, each preceded by class discussion, with minimal use of mathematics and physics. Moves quickly from passive circuits, to discrete transistors, then concentrates on operational amplifiers, used to make a variety of circuits including integrators, oscillators, regulators, and filters. The digital half of the course treats analog-digital interfacing, emphasizes the use of microcontrollers and programmable logic devices (PLDs).

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Laboratory Electronics

ENG-SCI 153 002
2019 Fall
Thomas Hayes,
David Abrams
Wednesday, Friday
01:30pm to 05:45pm

A lab-intensive introduction to electronic circuit design. Develops circuit intuition and debugging skills through daily hands-on lab exercises, each preceded by class discussion, with minimal use of mathematics and physics. Moves quickly from passive circuits, to discrete transistors, then concentrates on operational amplifiers, used to make a variety of circuits including integrators, oscillators, regulators, and filters. The digital half of the course treats analog-digital interfacing, emphasizes the use of microcontrollers and programmable logic devices (PLDs).

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Laboratory Electronics

ENG-SCI 153 002
2020 Spring
Thomas Hayes,
David Abrams
Wednesday, Friday
01:30pm to 05:45pm

A lab-intensive introduction to electronic circuit design. Develops circuit intuition and debugging skills through daily hands-on lab exercises, each preceded by class discussion, with minimal use of mathematics and physics. Moves quickly from passive circuits, to discrete transistors, then concentrates on operational amplifiers, used to make a variety of circuits including integrators, oscillators, regulators, and filters. The digital half of the course treats analog-digital interfacing, emphasizes the use of microcontrollers and programmable logic devices (PLDs).

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Systems and Control

ENG-SCI 155
2019 Fall
Na Li
Monday, Wednesday
01:30pm to 02:45pm

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
2020 Spring
Flavio du Pin Calmon
Monday, Wednesday
10:30am to 11:45am

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
2019 Fall
Demba Ba
Tuesday, Thursday
10:30am to 11:45am

General properties of common biosignals, Bioelectrical (electrophysiological), Biomechanical, Biomagnetic , and Biochemical signals, Bioelectrical acquisition process. Brief discussion of bio-signals obtained from tomography and inverse imaging. Brief introduction to underlying principles of MRI, Ultrasound, CT-Scan, PET, and SPECT, and their associated signals, inverse imaging, ill-posed problems and regularization. Non-transformed and transformed methods for biosignal processing. Structural and Graphical descriptions. Overview of Fourier transforms, Sine and cosine transform, Wavelet transform, Principle Component Analysis, dimension reduction techniques. Blind Source Separation, Representation models based on the statistical independence of the underlying sources, Independent component analysis (ICA), Dependent component analysis, Independent Subspace separation, Pattern Recognition, neural networks, clustering, and genetics algorithms. Applications to Biosignal Processing, and Human computer interaction.

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Engineering Quantum Mechanics

ENG-SCI 170
2020 Spring
Prineha Narang
Tuesday, Thursday
12:00pm to 01:15pm

As a first course in quantum mechanics, tailored for engineering, applied mathematics and computer science students, this course will teach concepts needed to engineer a quantum world, to understand quantum mechanical properties of materials and build an intuition for quantum information science. The course will be a hybrid of lectures on theory, state-of-the-art computational methods ('theory-lab') in quantum simulations and we will use IBM Q Experience, an open access quantum computer. Topics will include periodic potentials and the tight-binding approach, quantizing vibrations in solids, spin matrices and an introduction to qubits. Assignments will teach the basics of the Python programming language, introduce students to open source scientific software and electronic structure methods.

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Introduction to Electronic and Photonic Devices

ENG-SCI 173
2019 Fall
Evelyn Hu
Tuesday, Thursday
12:00pm to 01:15pm

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
2019 Fall
Zhigang Suo
Tuesday, Thursday
10:30am to 11:45am

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
2020 Spring
David Clarke
Tuesday, Thursday
09:00am to 10:15am

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
2019 Fall
Xin Li
Monday, Wednesday
12:00pm to 01:15pm

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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Decision Theory

ENG-SCI 201
2020 Spring
Demba Ba
Tuesday, Thursday
10:30am to 11:45am

Mathematical analysis of decision making. Bayesian inference and risk. Maximum likelihood and nonparametric methods. Algorithmic methods for decision rules: perceptrons, neural nets, and back propagation. Hidden Markov models, Blum-Welch, principal and independent components.

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Learning, Estimation, and Control of Dynamical Systems

ENG-SCI 202
2020 Spring
Na Li
Monday, Wednesday
10:30am to 11:45am

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
2020 Spring
James Wright
Monday, Wednesday
01:30pm to 02:45pm

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
2019 Fall
Kevin K. Parker
Tuesday, Thursday
12:00pm to 01:15pm

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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Special Topics in Neural Engineering: Learning and Memory in Neural Systems

ENG-SCI 226R
2020 Spring
Maurice Smith
Tuesday, Thursday
09:00am to 10:15am

Course will present classical findings and new research that give insight into mechanisms of learning and memory formation in neural systems. Learning and memory will be studied both as neurobiological phenomena and as computational challenges.

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Advanced Tissue Engineering

ENG-SCI 230
2020 Spring
David Mooney
Tuesday, Thursday
01:30pm to 02:45pm

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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Water, Weather and Climate

ENG-SCI 233
2019 Fall
Kaighin McColl
Monday, Wednesday
01:30pm to 02:45pm

This course provides a graduate-level introduction to the global hydrologic cycle and relevant terrestrial and atmospheric processes. It covers the concepts of water and energy balance; atmospheric radiation, composition and circulation; precipitation formation; evaporation and vegetation transpiration; dynamics of the atmospheric boundary layer (ABL), and its coupling with the land surface; boundary layer clouds; atmospheric chemistry within the ABL; and groundwater flow and unsaturated zone processes.

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Technology Venture Immersion

ENG-SCI 234
2020 Spring
Conor Walsh,
Thomas Eisenmann
Monday, Tuesday, Wednesday, Thursday, Friday, Saturday
09:00am to 06:00pm

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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Advanced Innovation in Science and Engineering: Conference Course

ENG-SCI 239
2019 Fall
David Weitz
Tuesday, Thursday
01:30pm to 02:45pm

Students are expected to meet all the requirements of Engineering Sciences 139 and in addition are required to prepare an individual term project with significant analytic emphasis in an area of scientific or technological innovation.

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Solid Mechanics

ENG-SCI 240
2019 Fall
Joost Vlassak
Monday, Wednesday, Friday
01:30pm to 02:45pm

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
2020 Spring
Zhigang Suo
Tuesday, Thursday
01:30pm to 02:45pm

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

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Information Theory

ENG-SCI 250
2019 Fall
Flavio du Pin Calmon
Monday, Wednesday
10:30am to 11:45am

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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Informal Robotics/New Paradigms for Design and Construction

ENG-SCI 256
2020 Spring
Chuck Hoberman
Monday
10:00am to 12:59pm

Today new materials and fabrication techniques are transforming the field of robotics. Rather than rigid metal parts connected by mechanical components, robots may now be made of folded paper, carbon laminates or soft gels. They may be formed fully integrated from a 2D or 3D printer rather than assembled from individual components. Light, compliant, highly customized - we are seeing the emergence of a new design paradigm.

Informal Robotics is a direct collaboration between the Wyss Institute's Bioinspired Robotics platform (http://wyss.harvard.edu/viewpage/204/bioinspired-robotics) and the GSD.  Within the class, you will interact with Wyss researchers who will share their unique designs for ambulatory and flying robots, end-effectors, medical instruments and other applications.

The class will explore informal robotics from multiple perspectives, culminating with the design and fabrication of original devices displaying animated intelligence in real-time. Going beyond traditional engineering approaches, we will also explore new opportunities for design at the product, architectural, and urban scales.

The class will be organized along four primary topics:

- Kinematics includes an overview of mechanism principles, design techniques for pop-ups, flat-folding origami structures, and soft mechanisms.

- Fabrication methods will be explored through workshops on use of composite materials, laminated assembly techniques, self-folding, and integrated flexures.

- Controls considers how to actuate movement and program desired behavior. Topics include servos, linear actuators, shape memory alloys (SMAs) and use of Arduino for sensing and actuator control.

Applications takes us beyond purely technological concerns, contextualizing Informal Robotics within larger trends where materials, manufacturing and computation are starting to merge.

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Optics and Photonics

ENG-SCI 273
2019 Fall
Federico Capasso
Wednesday, Friday
10:30am to 11:45am

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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Systems Engineering

ENG-SCI 280
2019 Fall
Robert D. Howe,
Venkat Venkatasubramanian
Monday, Tuesday, Wednesday, Thursday, Friday
09:00am to 12:00pm

This is the first core course for students in the MS/MBA: Engineering Sciences program, to be taken in August of the first year of the program. The course will begin with methods for modeling engineering and business systems, including discrete and continuous systems and feedback controls. Students will write simple simulations and then use professional modeling software to simulate complex systems. Students will next learn design methodology, including stakeholder modeling, ideation, and decision making tools. A final team project will involve design of a system, including simulation and prototyping.

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Integrated Design

ENG-SCI 285
2019 Fall
B Altringer,
Krzysztof Gajos,
Alan Maccormack
Monday, Wednesday
03:45pm to 05:45pm

Leading advanced design projects requires the integration of multiple skill areas and ongoing learning about the best data-driven tools to guide development. This course is structured to provide a comprehensive education in all stages of the new product design process, from idea generation to concept development, detailed design and prototyping, testing and integrating data into design decisions. The emphasis is on the way that design teams must both generate and utilize data to make decisions under conditions of extreme uncertainty. A critical feature of modern technical design challenges is that the problem space and solution space are often poorly defined, and/or to a large extent unbounded. The course aims to provide students with rigorous analytical tools to deal with such uncertainties.

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Nano Micro Macro: Adaptive Material Laboratory

ENG-SCI 291
2019 Fall
Joanna Aizenberg,
Jonathan Grinham
Wednesday
08:30am to 11:29am

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. Students will conduct part of their work in the Wyss Institute or SEAS science labs on Oxford Street, as well as in the GSD FabLab at Gund Hall. There are no prerequisites.

Note! MDE students, this course can satisfy a GSD course requirement by enrolling in SCI 6477, or a SEAS course requirement by enrolling in ES 291. But it cannot simultaneously satisfy both requirements.

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Cryo-Electron Microscopy for Biological and Soft Materials Lecture/Lab

ENG-SCI 293
2019 Fall
David Bell
Monday
10:30am to 11:45am

This class covers the fundamental principles underlying cryo-electron microscopy applied to Biological and SoftMaterials starting with the basic anatomy of electron microscopes, an introduction to Fourier transforms, and the principles of image formation. Building upon that foundation, the class then covers the sample preparation issues, data collection strategies, and basic image processing workflows.

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Solving Tech’s Public Dilemmas

ENG-SCI 298R
2019 Fall
Ash Carter
Monday, Wednesday
01:15pm to 02:30pm

This course identifies and analyzes alternative solutions to the dilemmas that disruptive technology is posing to public good in the digital, biotech, and jobs and training domains. The objective is for students to craft technologically-informed practical public-private approaches to some of the key policy issues of our time. It begins with a brief history of successful and unsuccessful governance of far-reaching technological changes in the past. The first part of the course treats the ongoing digital revolution, crafting solutions to issues of social media responsibility, cybersecurity, and artificial intelligence (AI).  It then turns to the biotech revolution that is gathering momentum, addressing genome editing, bioweapons and bioterror, and the role of venture capital in biotech. The third segment of the course addresses the ways that technology is disrupting the nature of work and lifelong training. The example of driverless cars will be used to illustrate the challenges and opportunities that technology provides to sustain cohesive and prosperous societies in the era of tech "disruption". Assignments stress development of key writing and speaking skills.

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Principles of Collective Learning

ENG-SCI 298BR
2019 Fall
TBA
Monday
09:45am to 11:45am

How do teams, cities, and nation learn? How do they acquire the knowledge they need to improve their capacities, or enter new activities? This course will equip students with a basic understanding of both, the mechanisms that govern the creation, diffusion, and valuation of knowledge, and the tools needed to study these mechanisms. The course will be divided into three parts. The first part describes the mechanisms that contribute to the collective accumulation of knowledge (e.g. learning curves). The second part will focus on knowledge diffusion, and on the mechanisms governing it across geographies, social networks, and productive activities. The third part will focus on the consequences of knowledge accumulation, for the distribution of wealth and economic activity.  These three big lessons will be complemented with lectures and discussions on the policy implications of this knowledge-based view of economies and with mathematical models describing the accumulation and recombination of knowledge. The course’s learning goals will be supported with hands on data exercises in which students will use data on international trade, employment, and patents, to reproduce classical studies.

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Methodologies in Design Engineering

ENG-SCI 298R
2020 Spring
Kevin K. Parker
Friday
09:45am to 11:45am

This is a SAT/UNSAT seminar course focused on design thinking, analysis, planning, and executing the development of engineered systems. Weekly meetings will include discussions and assigned readings of case studies and examples of the systems surrounding the developing technical system. Organizing and executing research, innovation, and product design at the scales from academic group, to startup, to major industry will be discussed. The course is designed to allow the engineer and designer to integrate technical knowledge into an executable framework as an individual or leader of a design team.

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Special Topics in Engineering Sciences

ENG-SCI 299R
2019 Fall
Fawwaz Habbal

Supervision of experimental or theoretical research on acceptable engineering and applied science problems 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
2020 Spring
Fawwaz Habbal

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

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