Online courses directory (2511)

"What people do with food is an act that reveals how they construe the world."
- Marcella Hazan, The Classic Italian Cookbook

If you are what you eat, what are you? Food is at once the stuff of life and a potent symbol; it binds us to the earth, to our families, and to our cultures. In this class, we explore many of the fascinating issues that surround food as both material fact and personal and cultural symbol. We read essays by Toni Morrison, Michael Pollan, Wendell Berry, and others on such topics as family meals, eating as an "agricultural act" (Berry), slow food, and food's ability to awaken us to "our own powers of enjoyment" (M. F. K. Fisher). We will also read Pollan's most recent book, In Defense of Food, and discuss the issues it raises as well as its rhetorical strategies. Assigned essays will grow out of memories and the texts we read, and may include personal narrative as well as essays that depend on research. Revision of essays and workshop review of writing in progress are an important part of the class. Each student will make one oral presentation in this class.

This course surveys a variety of reasoning, optimization and decision making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their application, taken from the disciplines of artificial intelligence and operations research.

Reasoning paradigms include logic and deduction, heuristic and constraint-based search, model-based reasoning, planning and execution, and machine learning. Optimization paradigms include linear programming, integer programming, and dynamic programming. Decision-making paradigms include decision theoretic planning, and Markov decision processes.

This course is designed to be a survey of the various subdisciplines of geophysics (geodesy, gravity, geomagnetism, seismology, and geodynamics) and how they might relate to or be relevant for other planets. No prior background in Earth sciences is assumed, but students should be comfortable with vector calculus, classical mechanics, and potential field theory.

The focus of this course is on financial theory and empirical evidence for making investment decisions. Topics include: portfolio theory; equilibrium models of security prices (including the capital asset pricing model and the arbitrage pricing theory); the empirical behavior of security prices; market efficiency; performance evaluation; and behavioral finance.

This is a seminar course that explores the history of selected features of the physical environment of urban America. Among the features considered are parks, cemeteries, tenements, suburbs, zoos, skyscrapers, department stores, supermarkets, and amusement parks. The course gives students experience in working with primary documentation sources through its selection of readings and class discussions. Students then have the opportunity to apply this experience by researching their own historical questions and writing a term paper.

Survey of Indian civilization from 2500 BC to present-day. Traces major political events as well as economic, social, ecological, and cultural developments. Primary and secondary readings enhance understanding of this unique civilization, and shape and improve understanding in analyzing and interpreting historical data. Examines major thematic debates in Indian history through class discussion.

This course provides students with a basic knowledge of structural analysis and design for buildings, bridges and other structures. The course emphasizes the historical development of structural form and the evolution of structural design knowledge, from Gothic cathedrals to long span suspension bridges. Students will investigate the behavior of structural systems and elements through design exercises, case studies, and load testing of models. Students will design structures using timber, masonry, steel, and concrete and will gain an appreciation of the importance of structural design today, with an emphasis on environmental impact of large scale construction.

This course is an advanced topics course on market and mechanism design. We will study existing or new market institutions, understand their properties, and think about whether they can be re-engineered or improved. Topics discussed include mechanism design, auction theory, one-sided matching in house allocation, two-sided matching, stochastic matching mechanisms, student assignment, and school choice.

This class introduces elementary programming concepts including variable types, data structures, and flow control. After an introduction to linear algebra and probability, it covers numerical methods relevant to mechanical engineering, including approximation (interpolation, least squares and statistical regression), integration, solution of linear and nonlinear equations, ordinary differential equations, and deterministic and probabilistic approaches. Examples are drawn from mechanical engineering disciplines, in particular from robotics, dynamics, and structural analysis. Assignments require MATLAB^® programming.

This class is an introduction to classical mechanics for students who are comfortable with calculus. The main topics are: Vectors, Kinematics, Forces, Motion, Momentum, Energy, Angular Motion, Angular Momentum, Gravity, Planetary Motion, Moving Frames, and the Motion of Rigid Bodies.

This course deals with mechanics of deformation of the crust and mantle, with emphasis on the importance of different rheological descriptions: brittle, elastic, linear and nonlinear fluids, and viscoelastic.

Interdisciplinary introduction to contemporary Latin America, drawing on films, literature, popular press accounts, and scholarly research. Topics include economic development, ethnic and racial identity, religion, revolution, democracy, transitional justice, and the rule of law. Examples draw on a range of countries in the region, especially Mexico, Chile, and Brazil. Includes a heavy oral participation component, with regular breakout groups, formal class presentations on pressing social issues (such as criminal justice and land tenure), and a structured class debate.

This undergraduate petrology course surveys the distribution, chemical composition, and mineral associations in rocks of the earth's crust and upper mantle, and establishes its relation to tectonic environment. The emphasis of the course is on the use of chemistry and physics to interpret rock forming processes.

Discusses a wide variety of processes and materials from the viewpoint of their fundamental physical and chemical properties. Specific topics: cold welding, adhesive bonding, diffusion bonding, soldering, brazing, flames, arcs, high-energy density heat sources, solidification, cracking resistance, shielding methods, and electric contacts. Emphasis on underlying science of a given process rather than a detailed description of the technique or equipment.

This course meets with the first half of 3.371J in the Fall Term.

This course covers techniques of financial analysis of investment expenditures as well as the economic and distributive appraisal of those projects. The course gives special consideration to cases in the developing world. Students will engage in a critical analysis of these tools and their role in the political economy of international development. The course will cover topics such as alternative planning strategies for conditions of uncertainty; organizations and project cycle management; the political environment; and interactions of clients and advisers, engineers, planners, policy analysts, and other professionals.

Introductory micro-economics is a pre-requisite for this course.

This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machine learning, finance, digital and analog circuit design, computational geometry, statistics, and mechanical engineering are presented. Students complete hands-on exercises using high-level numerical software.

Acknowledgements

The course materials were developed jointly by Prof. Stephen Boyd (Stanford), who was a visiting professor at MIT when this course was taught, and Prof. Lieven Vanderberghe (UCLA).

This workshop is designed to help you write clearly, accurately and effectively in both an academic and a professional environment. In class, we analyze various forms of writing and address problems common to advanced speakers of English. We will often read one another's work.

This is an advanced course on modeling, design, integration and best practices for use of machine elements such as bearings, springs, gears, cams and mechanisms. Modeling and analysis of these elements is based upon extensive application of physics, mathematics and core mechanical engineering principles (solid mechanics, fluid mechanics, manufacturing, estimation, computer simulation, etc.). These principles are reinforced via (1) hands-on laboratory experiences wherein students conduct experiments and disassemble machines and (2) a substantial design project wherein students model, design, fabricate and characterize a mechanical system that is relevant to a real world application. Students master the materials via problems sets that are directly related to, and coordinated with, the deliverables of their project. Student assessment is based upon mastery of the course materials and the student's ability to synthesize, model and fabricate a mechanical device subject to engineering constraints (e.g. cost and time/schedule).

This course was created for the "product development" track of MIT's System Design and Management Program (SDM) in conjunction with the Center for Innovation in Product Development.  After taking this course, a student should be able to:

• Formulate measures of performance of a system or quality characteristics. These quality characteristics are to be made robust to noise affecting the system.
• Sythesize and select design concepts for robustness.
• Identify noise factors whose variation may affect the quality characteristics.
• Estimate the robustness of any given design (experimentally and analytically).
• Formulate and implement methods to reduce the effects of noise (parameter design, active control, adjustment).
• Select rational tolerances for a design.
• Explain the role of robust design techniques within the wider context of the product development process.
• Lead product development activities that include robust design techniques.