2.993J Introduction to Numerical Analysis for Engineering (13.002J) (MIT)
This course is offered to undergraduates and introduces students to the formulation, methodology, and techniques for numerical solution of engineering problems. Topics covered include: fundamental principles of digital computing and the implications for algorithm accuracy and stability, error propagation and stability, the solution of systems of linear equations, including direct and iterative techniques, roots of equations and systems of equations, numerical interpolation, differentiation and i
2.882 System Design and Analysis based on AD and Complexity Theories (MIT)
This course studies what makes a good design and how one develops a good design. Students consider how the design of engineered systems (such as hardware, software, materials, and manufacturing systems) differ from the "design" of natural systems such as biological systems; discuss complexity and how one makes use of complexity theory to improve design; and discover how one uses axiomatic design theory (AD theory) in design of many different kinds of engineered systems. Questions are analyzed us
18.101 Analysis II (MIT)
This course continues from Analysis I (18.100B), in the direction of manifolds and global analysis. The first half of the course covers multivariable calculus. The rest of the course covers the theory of differential forms in n-dimensional vector spaces and manifolds.
11.486J Economic Institutions and Growth Policy Analysis (MIT)
This course is designed for students particularly concerned with the practical problems of operating in large formal organizations, either from an operational or a research perspective. It will focus, as the title suggests, upon different forms of economic organizations and institutions in advanced and developing industrial societies and the theories (and theoretical perspectives) which might help us to understand them.
6.883 Program Analysis (MIT)
6.883 is a graduate seminar that investigates a variety of program analysis techniques that address software engineering tasks. Static analysis topics include abstract interpretation (dataflow), type systems, model checking, decision procedures (SAT, BDDs), theorem-proving. Dynamic analysis topics include testing, fault isolation (debugging), model inference, and visualization. While the course focuses on the design and implementation of programming tools, the material will be useful to anyone w
20.440 Analysis of Biological Networks (BE.440) (MIT)
This class analyzes complex biological processes from the molecular, cellular, extracellular, and organ levels of hierarchy. Emphasis is placed on the basic biochemical and biophysical principles that govern these processes. Examples of processes to be studied include chemotaxis, the fixation of nitrogen into organic biological molecules, growth factor and hormone mediated signaling cascades, and signaling cascades leading to cell death in response to DNA damage. In each case, the availability o
21M.710 Script Analysis (MIT)
This class focuses on reading a script theatrically with a view to mounting a coherent production. Through careful, intensive reading of a variety of plays from different periods and different aesthetics, a pattern emerges for discerning what options exist for interpretating a script. Students discuss the consequences of those options for production.
18.100C Analysis I (MIT)
This course is meant as a first introduction to rigorous mathematics; understanding and writing of proofs will be emphasized. We will cover basic notions in real analysis: point-set topology, metric spaces, sequences and series, continuity, differentiability, and integration.
17.959 Organizational Analysis (MIT)
This reading course seeks to provide students with frameworks for understanding organizational behavior and research tools for studying them. It offers an overview of major theories and approaches, and an opportunity to discuss major and classic works on military and non-military organizations. For advanced graduate students, preferably those selecting a dissertation topic.
Geospatial System Analysis and Design
The course provides the geospatial information system professional an overview of systems analysis and design with emphasis the concepts behind the design process including: business use case modeling, business object modeling, requirements definition, analysis and preliminary design, and, finally, detailed design and deployment. The concepts of the geospatial software and database development process are introduced and the limitations of current modeling techniques are addressed within the spat
6.041 Probabilistic Systems Analysis and Applied Probability (MIT)
This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.
18.104 Seminar in Analysis: Applications to Number Theory (MIT)
18.104 is an undergraduate level seminar for mathematics majors. Students present and discuss subject matter taken from current journals or books. Instruction and practice in written and oral communication is provided. The topics vary from year to year. The topic for this term is Applications to Number Theory.
18.100B Analysis I (MIT)
Analysis I covers fundamentals of mathematical analysis: convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions, uniformity, and interchange of limit operations.
CMS.998 Videogame Theory and Analysis (MIT)
This course is an introduction to the interdisciplinary study of commercial videogames as texts, examining their cultural, educational, and social functions in contemporary settings. Students play and analyze videogames while examining debates surrounding how games function within socially situated contexts. Readings include contemporary game theory (Gee, Squire, Steinkuehler, Jenkins, Klopfer, Zimmerman and Salen, Juul, Bartle, Taylor, Aarseth) and the completion of a contemporary commercial vi
22.251 Systems Analysis of the Nuclear Fuel Cycle (MIT)
This course provides an in-depth technical and policy analysis of various options for the nuclear fuel cycle. Topics include uranium supply, enrichment fuel fabrication, in-core physics and fuel management of uranium, thorium and other fuel types, reprocessing and waste disposal. Also covered are the principles of fuel cycle economics and the applied reactor physics of both contemporary and proposed thermal and fast reactors. Nonproliferation aspects, disposal of excess weapons plutonium, and tr
2.171 Analysis and Design of Digital Control Systems (MIT)
This course is a comprehensive introduction to control system synthesis in which the digital computer plays a major role, reinforced with hands-on laboratory experience. The course covers elements of real-time computer architecture; input-output interfaces and data converters; analysis and synthesis of sampled-data control systems using classical and modern (state-space) methods; analysis of trade-offs in control algorithms for computation speed and quantization effects. Laboratory projects emph
MAS.622J Pattern Recognition and Analysis (MIT)
This class deals with the fundamentals of characterizing and recognizing patterns and features of interest in numerical data. We discuss the basic tools and theory for signal understanding problems with applications to user modeling, affect recognition, speech recognition and understanding, computer vision, physiological analysis, and more. We also cover decision theory, statistical classification, maximum likelihood and Bayesian estimation, nonparametric methods, unsupervised learning and clust
14.54 International Trade (MIT)
This course is an introduction to the theory of international trade and finance with applications to current policy issues. In this course we will cover the basic tools to understand what determines the flow of goods across countries, i.e. international trade, and what determines the flow of savings and investments from one country to another, i.e. international finance. We will also cover applications to a number of topics of current interest, including the debate on globalization, free trade a
ESD.72 Engineering Risk-Benefit Analysis (MIT)
ERBA (ESD.72) emphasizes three methodologies - reliability and probabilistic risk assessment (RPRA), decision analysis (DA), and cost-benefit analysis (CBA). In this class, the issues of interest are: the risks associated with large engineering projects such as nuclear power reactors, the International Space Station, and critical infrastructures; the development of new products; the design of processes and operations with environmental externalities; and infrastructure renewal projects.
2.14 Analysis and Design of Feedback Control Systems (MIT)
This course develops the fundamentals of feedback control using linear transfer function system models. It covers analysis in time and frequency domains; design in the s-plane (root locus) and in the frequency domain (loop shaping); describing functions for stability of certain non-linear systems; extension to state variable systems and multivariable control with observers; discrete and digital hybrid systems and the use of z-plane design. Assignments include extended design case studies and cap