TV programs such as "Law and Order" show how forensic experts are called upon to give testimony that often determines the outcome of court cases. Engineers are one class of expert who can help display evidence in a new light to solve cases. In this seminar you will be part of the problem-solving process, working through both previously solved and unsolved cases. Each week we will investigate cases, from the facts that make up each side to the potential evidence we can use as engineers to expose culprits. The cases range from disintegrating airplane engines to gas main explosions to Mafia murders. This seminar will be full of discussions about the cases and creative approaches to reaching the solutions. The approach is hands-on so you will have a chance to participate in the process, not simply study it. Some background reading and oral presentation are required.

This course reviews the processing and structure of cellular materials as they are created from polymers, metals, ceramics, glasses, and composites, develops models for the mechanical behavior of cellular solids, and shows how the unique properties of honeycombs and foams are exploited in applications such as lightweight structural panels, energy absorption devices and thermal insulation. The applications of cellular solids in medicine include increased fracture risk due to trabecular bone loss in patients with osteoporosis, the development of metal foam coatings for orthopaedic implants, and designing porous scaffolds for tissue engineering that mimic the extracellular matrix. Modelling of cellular materials applied to natural materials and biomimicking is explored. Students taking the graduate version of the class are required to complete additional assignments.

This is an undergraduate introductory laboratory subject in ocean chemistry and measurement. There are three main elements to the course: oceanic chemical sampling and analysis, instrumentation development for the ocean environment, and the larger field of ocean science.
This course is offered through The MIT/WHOI Joint Program. The MIT/WHOI Joint Program is one of the premier marine science graduate programs in the world. It draws on the complementary strengths and approaches of two great institutions: the Massachusetts Institute of Technology (MIT) and the Woods Hole Oceanographic Institution (WHOI).

This course applies the concepts of reaction rate, stoichiometry and equilibrium to the analysis of chemical and biological reacting systems, derivation of rate expressions from reaction mechanisms and equilibrium or steady state assumptions, design of chemical and biochemical reactors via synthesis of chemical kinetics, transport phenomena, and mass and energy balances. Topics covered include: chemical/biochemical pathways; enzymatic, pathway, and cell growth kinetics; batch, plug flow and well-stirred reactors for chemical reactions and cultivations of microorganisms and mammalian cells; heterogeneous and enzymatic catalysis; heat and mass transport in reactors, including diffusion to and within catalyst particles and cells or immobilized enzymes.

This course addresses the challenges of defining a relationship between exposure to environmental chemicals and human disease. Course topics include epidemiological approaches to understanding disease causation; biostatistical methods; evaluation of human exposure to chemicals, and their internal distribution, metabolism, reactions with cellular components, and biological effects; and qualitative and quantitative health risk assessment methods used in the U.S. as bases for regulatory decision-making. Throughout the term, students consider case studies of local and national interest.

6.002 is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. At MIT, 6.002 is in the core of department subjects required for all undergraduates in EECS.
The course introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first- and second-order networks; design in the time and frequency domains; and analog and digital circuits and applications. Design and lab exercises are also significant components of the course. 6.002 is worth 4 Engineering Design Points. The 6.002 content was created collaboratively by Profs. Anant Agarwal and Jeffrey H. Lang.
The course uses the required textbook Foundations of Analog and Digital Electronic Circuits. Agarwal, Anant, and Jeffrey H. Lang. San Mateo, CA: Morgan Kaufmann Publishers, Elsevier, July 2005. ISBN: 9781558607354.

Our global society is not sustainable. We all know about the challenges we’re facing: waste, climate change, resource scarcity, loss of biodiversity. At the same time, we want to sustain our economies and offer opportunities for a growing world population. This course is about providing solutions we really believe in: a Circular Economy.

In this course we explore the Circular Economy: how businesses can create value by reusing and recycling products, how designers can come up with amazingly clever solutions, and how you can contribute to make the Circular Economy happen.

Do you want to think about ways to help solve New Orleans' problems? CityScope is a project-based introduction to the contemporary city. "Problem solving in complex (urban) environments" is different than "solving complex problems." As a member of a team, you will learn to assess scenarios for the purpose of formulating social, economic and design strategies to provide humane and sustainable solutions. A visit to New Orleans is planned for spring break 2007.

This course introduces the concepts, techniques, and devices used to measure engineering properties of materials. There is an emphasis on measurement of load-deformation characteristics and failure modes of both natural and fabricated materials. Weekly experiments include data collection, data analysis, and interpretation and presentation of results.

Combinatorial Optimization provides a thorough treatment of linear programming and combinatorial optimization. Topics include network flow, matching theory, matroid optimization, and approximation algorithms for NP-hard problems.

AE 868 examines the theories and design practices of solar electric systems in the context of utility and commercial-scale applications. An important goal of the course is to equip solar professionals with skills to follow the impact of hardware trends in industry on feasibility, design, and the commissioning of such systems. Students will learn how to design solar electric systems as well as the processes required for permitting, construction, and commissioning. Topics include conceptual design of solar electric systems, solar electric technologies, inverter and power management technologies, design theory and economic analysis tools, system design processes for grid-tied and off-grid systems, integration of energy storage and demand response systems, construction project management, permitting, safety and commissioning, system monitoring, and maintenance.

This course will cover fundamentals of digital communications and networking. We will study the basics of information theory, sampling and quantization, coding, modulation, signal detection and system performance in the presence of noise. The study of data networking will include multiple access, reliable packet transmission, routing and protocols of the internet. The concepts taught in class will be discussed in the context of aerospace communication systems: aircraft communications, satellite communications, and deep space communications.

This course introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. It covers the topics including multilevel implementation strategies, definition of new primitives (e.g., gates, instructions, procedures, processes) and their mechanization using lower-level elements. It also includes analysis of potential concurrency, precedence constraints and performance measures, pipelined and multidimensional systems, instruction set design issues and architectural support for contemporary software structures.

6.004 offers an introduction to the engineering of digital systems. Starting with MOS transistors, the course develops a series of building blocks — logic gates, combinational and sequential circuits, finite-state machines, computers and finally complete systems. Both hardware and software mechanisms are explored through a series of design examples.
6.004 is required material for any EECS undergraduate who wants to understand (and ultimately design) digital systems. A good grasp of the material is essential for later courses in digital design, computer architecture and systems. The problem sets and lab exercises are intended to give students "hands-on" experience in designing digital systems; each student completes a gate-level design for a reduced instruction set computer (RISC) processor during the semester.

This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice. We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field, and work directly with current large-scale biological datasets.

This course is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, students will explore fundamental issues in human knowledge representation, inductive learning and reasoning. What are the forms that our knowledge of the world takes? What are the inductive principles that allow us to acquire new knowledge from the interaction of prior knowledge with observed data? What kinds of data must be available to human learners, and what kinds of innate knowledge (if any) must they have?

An introduction to computational theories of human cognition. Emphasizes questions of inductive learning and inference, and the representation of knowledge. Project required for graduate credit. This class is suitable for intermediate to advanced undergraduates or graduate students specializing in cognitive science, artificial intelligence, and related fields.

This class introduces design as a computational enterprise in which rules are developed to compose and describe architectural and other designs. The class covers topics such as shapes, shape arithmetic, symmetry, spatial relations, shape computations, and shape grammars. It focuses on the application of shape grammars in creative design, and teaches shape grammar fundamentals through in-class, hands-on exercises with abstract shape grammars. The class discusses issues related to practical applications of shape grammars.

This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, MATLAB®, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative advantages and disadvantages of different languages.

This course provides the fundamental computational toolbox for solving science and engineering problems. Topics include review of linear algebra, applications to networks, structures, estimation, finite difference and finite element solutions of differential equations, Laplace's equation and potential flow, boundary-value problems, Fourier series, the discrete Fourier transform, and convolution. We will also explore many topics in AI and machine learning throughout the course.