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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 multi-year course planning tool.

Physiological Systems Analysis

BE 110
2020 Fall

Maurice Smith
Monday, Wednesday
12:00pm to 01:15pm

A survey of systems theory with applications from bioengineering and physiology. Analysis: differential equations, linear and nonlinear systems, stability, the complementary nature of time and frequency domain methods, feedback, and biological oscillations. Applications: nerve function, muscle dynamics, cardiovascular regulation. Laboratory: neural models, feedback control systems, properties of muscle, cardiovascular function.

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Cellular Engineering

BE 121
2021 Spring

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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Tissue Engineering

BE 125
2021 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. Students will prepare a paper in the field of tissue engineering, and participate in a weekly laboratory in which they will learn and use methods to fabricate materials and perform 3-D cell culture.

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Introduction to Biomedical Imaging and Systems

BE 128
2021 Spring

Linsey Moyer

The course is designed as an introduction for students who want to gain both hands on training as well as an introduction to the physics and image reconstruction techniques involved in generating images. The course will introduce the fundamentals of the major imaging modalities including, but not limited to: electron microscopy, optical microscopy, x-ray, computed tomography, ultrasound, MRI, and nuclear imaging, as well as an overview of in vivo imaging and molecular imaging. This course also includes a lab section every other week.

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Introduction to Bioelectronics

BE 129
2021 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.

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Neural Control of Movement

BE 130
2021 Spring

Maurice Smith

Approaches from robotics, control theory, and neuroscience for understanding biological motor systems. Analytical and computational modeling of muscles, reflex arcs, and neural systems that contribute to motor control in the brain. Focus on understanding how the central nervous system plans and controls voluntary movement of the eyes and limbs. Learning and memory; effects of variability and noise on optimal motor planning and control in biological systems.

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Neuroengineering

BE 131
2020 Fall

Jia Liu
Monday, Wednesday
03:00pm to 04:15pm

This course provides an introduction to biological neural systems, and current engineering efforts to understand, control, and enhance the function of neural systems. The focus is on the basic knowledge of molecular basis, anatomic structures, and electrical functions of central and peripheral nervous systems, and the most state-of-the-art genetic/genomic, optical, electrical, magnetic, and computational tools for nervous systems. Key themes throughout the course will include structures of central and peripheral nervous systems, genetic engineering, RNA sequencing, optogenetics, microscope, bioelectronics, MRI, and computational neuroscience. This includes both the practical and theoretical aspects of the topic.

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Introduction to Biomaterials

BE 191
2021 Spring

Jennifer Lewis

A biomaterial is any form of matter that is produced by or interacts with biological systems. One of the pillars of biomedical engineering is to use naturally derived and synthetic biomaterials to treat, augment, or replace human tissues. This course examines the structure, properties and processing of biomaterials.

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Flavor Molecules of Food Fermentation: Exploration and Inquiry

ENG-SCI 24
2021 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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Introduction to Electrical Engineering

ENG-SCI 50
2021 Spring

Marko Loncar

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
2020 Fall

Michelle Rosen
Monday, Wednesday, Friday
10:30am to 11:45am

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
2020 Fall

Daniel Needleman, Linsey Moyer
Monday, Wednesday, Friday
12:00pm to 01:15pm

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
2020 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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Humanitarian Design Projects

ENG-SCI 91HFR
2021 Spring

Christopher 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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Startup R & D

ENG-SCI 95R
2020 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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Engineering Problem Solving and Design Project

ENG-SCI 96
2020 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
2021 Spring

Fawwaz Habbal, Kelly Miller, Samir Mitragotri, Jeffrey Paten, Nabil Harfoush

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
2020 Fall

James Anderson, Patrick Ulrich, Christopher Lombardo, Linsey Moyer
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
2021 Spring

James Anderson, Patrick Ulrich, Christopher Lombardo, Linsey Moyer

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
2021 Spring

Scot Martin

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
2021 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
2021 Spring

Joost Vlassak

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
2020 Fall

Yiling Chen, Margo Levine
Monday, Wednesday
09:00pm to 10:15pm

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 Optimization: Models and Methods

ENG-SCI 121
2020 Fall

Yiling Chen, Margo Levine
Monday, Wednesday
10:30am to 11:45am

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
2021 Spring

David Sondak

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
2020 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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Computational Solid and Structural Mechanics

ENG-SCI 128
2020 Fall

Katia Bertoldi
Tuesday, Thursday
12:00pm to 01:15pm

Introduction to finite element methods for analysis of steady-state and transient problems in solid and structural mechanics. Implementation of simple MATLAB codes and use of existing general-purpose software (ABAQUS). Final project offers opportunities to extend focus to fluid mechanics and heat transfer and to explore additional software (e.g. COMSOL, FEniCS), if desired.

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Innovation in Science and Engineering: Conference Course

ENG-SCI 139
2020 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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Computer Vision

ENG-SCI 143
2020 Fall

Todd Zickler
Tuesday, Thursday
01:30pm to 02:45pm

An introduction to the mathematical, optical, and computational foundations of computer vision, with a focus on applications in augmented reality and robotic perception. Topics include: camera optics, digital color photography pipelines, multi-camera geometry, image processing and manipulation, simultaneous localization and mapping, lighting and material estimation, and 3D scanning. Emphasis on combining mathematical modeling with robust algorithms for solving ill-posed problems.

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Probability with Engineering Applications

ENG-SCI 150
2021 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
2020 Fall

Gu-Yeon Wei
Monday, Wednesday
03:00pm to 04:15pm

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
2021 Spring

Thomas Hayes

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
2020 Fall

Na Li, Yue Lu
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
2021 Spring

Flavio du Pin Calmon

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
2020 Fall

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

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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Engineering Quantum Mechanics

ENG-SCI 170
2021 Spring

Prineha Narang

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
2020 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
2020 Fall

Michael Aziz
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 Materials Science and Engineering

ENG-SCI 190
2020 Fall

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
2020 Fall

David Clarke
Tuesday, Thursday
01:30pm to 02:45pm

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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Decision Theory

ENG-SCI 201
2021 Spring

Demba Ba

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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Fluid Dynamics

ENG-SCI 220
2021 Spring

L Mahadevan

Continuum mechanics; conservation of mass and momentum, energy; stress, kinematics, and constitutive equations; vector and tensor calculus. Dimensional analysis and scaling. Navier-Stokes equations, Reynolds number. Solutions for simple flow states. Low Reynolds number flows; porous media flows; lubrication theory; gravity currents. Inviscid flows, Kelvin circulation theorem, Bernoulli integrals, Vortical flows. Waves in fluids; acoustics, shocks, water waves. Airfoil theory. Boundary layers. Flow instabilities. Mixing, and turbulence in unbounded and bounded flows.

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Drug Delivery

ENG-SCI 221
2020 Fall

Samir Mitragotri
Tuesday, Thursday
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
2021 Spring

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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Neuroengineering

ENG-SCI 225
2020 Fall

Jia Liu
Monday, Wednesday
03:00pm to 04:15pm

The contents and course requirements are similar to those of Biomedical Engineering 131 (BE 131), with the exception that students enrolled in Engineering Sciences 225 (ENG-SCI 225) are expected to undertake a substantial course project.

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Survey of Energy Technology

ENG-SCI 229
2021 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
2021 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
2021 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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Technology Venture Immersion

ENG-SCI 234
2021 Spring

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
2020 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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Fracture Mechanics

ENG-SCI 247
2020 Fall

Zhigang Suo
Tuesday, Thursday
12:00pm to 01:15pm

Fundamentals of fracture with applications in materials and structural mechanics. Micromechanics of fracture in ceramics, metals, and polymers. Fracture of composite materials. Interfacial fracture mechanics. Fatigue crack propagation.

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Introduction to Bioelectronics

ENG-SCI 258
2021 Spring

Jia Liu

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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Optics and Photonics

ENG-SCI 273
2020 Fall

Federico Capasso, Marko Loncar
Monday, Wednesday
03:00pm to 04:15pm

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
2020 Fall

Marko Loncar, Federico Capasso
Tuesday, Thursday
12:00pm to 01:15pm

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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Systems Engineering

ENG-SCI 280
2020 Fall

Robert D. Howe, Venkat Venkatasubramanian

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
2020 Fall

B Altringer, Roberto Verganti
Monday, Tuesday
04:30pm to 06:30pm

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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Launch Lab/Capstone 1

ENG-SCI 292A
2021 Spring

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
2021 Spring

Russell J Wilcox

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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Professional Writing for Scientists and Engineers

ENG-SCI 297
2020 Fall

Jenny Hoffman, Suzanne Smith
Wednesday
03:00pm to 05:00pm

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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Methods & Practices in Design Engineering

ENG-SCI 298AR
2020 Fall

Nabil Harfoush, Arianna Mazzeo
Thursday
12:00pm to 02:45pm

This course is a practice-focused introduction to applied design research and analysis methods on human subjects (individuals or groups) and on organizations in a post-pandemic urban context. The first part of the course provides an introduction to qualitative research methods such as observation, interviewing and emergent design fiction from a cultural and systemic perspective. The second part introduces learners to key methods and tools for analyzing enterprises and their resilience. The course is intended to complement the knowledge of students in engineering, sciences, and multidisciplinary programs and provide them with practical skills in domains adjacent to their fields. The course is suitable for students and for graduate and undergraduate students of many disciplines.

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Methodologies in Design Engineering

ENG-SCI 298DR
2020 Fall

Kit Parker, Fawwaz Habbal
Friday
12:45pm to 02:45pm

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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Solving Tech’s Public Dilemmas

ENG-SCI 298R
2020 Fall

Ash Carter
Monday, Wednesday
01:30pm to 02:45pm

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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Special Topics in Engineering Sciences

ENG-SCI 299R
2020 Fall

Fawwaz Habbal

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
2021 Spring

Fawwaz Habbal

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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