15.062 Data Mining (MIT)
Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such data is often stored in data warehouses and data marts specifically intended for management decision support. Data mining is a rapidly growing field that
6.844 Computability Theory of and with Scheme (MIT)
6.844 is a graduate introduction to programming theory, logic of programming, and computability, with the programming language Scheme used to crystallize computability constructions and as an object of study itself. Topics covered include: programming and computability theory based on a term-rewriting, "substitution" model of computation by Scheme programs with side-effects; computation as algebraic manipulation: Scheme evaluation as algebraic manipulation and term rewriting theory; paradoxes fr
21L.460 Medieval Literature: Medieval Women Writers (MIT)
This survey provides a general introduction to medieval European literature (from Late Antiquity to the Fifteenth Century) from the perspective of women writers from a variety of cultures, social backgrounds, and historical timeperiods. Though much of the class will be devoted to exploring the evolution of a new literary tradition by and for women from its earliest emergence in the West, wider historical and cultural movements will also be addressed: the Fall of the Roman Empire, the growth
2.997 Decision Making in Large Scale Systems (MIT)
This course is an introduction to the theory and application of large-scale dynamic programming. Topics include Markov decision processes, dynamic programming algorithms, simulation-based algorithms, theory and algorithms for value function approximation, and policy search methods. The course examines games and applications in areas such as dynamic resource allocation, finance and queueing networks.
17.874 Quantitative Research Methods: Multivariate (MIT)
This course is the second semester in the statistics sequence for political science and public policy offered in the Political Science Department at MIT. The intellectual thrust of the course is a presentation of statistical models for estimating causal effects of variables. The model of an effect is a conditional mean (though we might imagine other effect). The notion of causality is the effect of one variable on another holding all else constant.
18.443 Statistics for Applications (MIT)
This course provides a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. The course topics include hypothesis testing and estimation. It also includes confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, and correlation.
6.837 Computer Graphics (MIT)
6.837 offers an introduction to computer graphics hardware, algorithms, and software. Topics include: line generators, affine transformations, line and polygon clipping, splines, interactive techniques, perspective projection, solid modeling, hidden surface algorithms, lighting models, shading, and animation. Substantial programming experience is required. This course is worth 6 Engineering Design Points.
14.13 Economics and Psychology (MIT)
This course integrates psychological insights into economic models of behavior. It discusses the limitations of standard economic models and surveys the ways in which psychological experiments have been used to learn about preferences, cognition, and behavior. Topics include: trust, vengeance, fairness, impatience, impulsivity, bounded rationality, learning, reinforcement, classical conditioning, loss-aversion, over-confidence, self-serving biases, cognitive dissonance, altruism, subjective well
From Experimental Physics to Internet Entrepreneurship: One Scientist’s Journey
Few better personify the vitality and ambition fueling China’s economic surge than Charles C-Y Zhang. In this energetic and revelatory talk, Zhang relates his personal evolution from MIT physicist to leading Chinese entrepreneur.
An industrious student from a poor family, Zhang was one of the fortunate few in hi
18.125 Measure and Integration (MIT)
This graduate-level course covers Lebesgue's integration theory with applications to analysis, including an introduction to convolution and the Fourier transform.
1.017 Computing and Data Analysis for Environmental Applications (MIT)
This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-wo
Introduction to OO Programming in Java - Classes and arithmetic
This visual aid forms part of the "Classes and arithmetic" topic in the Introduction to OO Programming in Java module.
18.413 Error-Correcting Codes Laboratory (MIT)
This course introduces students to iterative decoding algorithms and the codes to which they are applied, including Turbo Codes, Low-Density Parity-Check Codes, and Serially-Concatenated Codes. The course will begin with an introduction to the fundamental problems of Coding Theory and their mathematical formulations. This will be followed by a study of Belief Propagation--the probabilistic heuristic which underlies iterative decoding algorithms. Belief Propagation will then be applied to the dec
8.325 Relativistic Quantum Field Theory III (MIT)
This is the third and last term of the quantum field theory sequence. The course is devoted to the standard model of particle physics, including both its conceptual foundations and its specific structure, and to some current research frontiers that grow immediately out of it.
Introduction to Artificial Intelligence - Introduction to Problem Solving as Search
This tutorial forms part of the "Introduction to Problem Solving as Search" topic in the Introduction to Artificial Intelligence module.
6.801 Machine Vision (MIT)
Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed.
18.965 Geometry of Manifolds (MIT)
Geometry of Manifolds analyzes topics such as the differentiable manifolds and vector fields and forms. It also makes an introduction to Lie groups, the de Rham theorem, and Riemannian manifolds.
1.3 Social problems and social policy Whether social problems emerge as issues of social justice or social order, they are usually associated with the idea that ‘something must be done’. Social problems represent conditions that should not be allowed to continue because they are perceived to be problems for society, requiring society to react to them and find remedies. Where private troubles are matters for the individuals involved to resolve, public issues or social problems demand a public response. The range of possib
21F.110 Chinese IV (Streamlined) (MIT)
This is the second semester of the intermediate level sequence intended for students whose conversational ability exceeds their reading and writing skills. Focus is on reading and writing, as well as broadening conversational skills and control of standard pronunciation, for students with background in conversational Chinese. Lab work is required. On completing this course, students should be able to speak the language with standard pronunciation, to converse with some fluency on everyday topics
2.032 Dynamics (MIT)
This course reviews momentum and energy principles, and then covers the following topics: Hamilton's principle and Lagrange's equations; three-dimensional kinematics and dynamics of rigid bodies; steady motions and small deviations therefrom, gyroscopic effects, and causes of instability; free and forced vibrations of lumped-parameter and continuous systems; nonlinear oscillations and the phase plane; nonholonomic systems; and an introduction to wave propagation in continuous systems.
This cours
