Online courses directory (2511)
Environmentalists have traditionally relied upon the power of their prose to transform the thoughts and behavior of their contemporaries. In this class, we will do our best to follow in their footsteps. We will consider the strategies of popular science writers, lesser-known geologists, biologists, and hydrologists, and famous environmentalists. Students will have a chance to try out several ways of characterizing and explaining natural environments. Weekly writing exercises will help students develop and explore material for the longer papers.
This course examines diagnostic studies of the Earth's atmosphere and discusses their implications for the theory of the structure and general circulation of the Earth's atmosphere. It includes some discussion of the validation and use of general circulation models as atmospheric analogs.
6.111 is reputed to be one of the most demanding classes at MIT, exhausting many students' time and creativity. The course covers digital design topics such as digital logic, sequential building blocks, finite-state machines, FPGAs, timing and synchronization. The semester begins with lectures and problem sets, to introduce fundamental topics before students embark on lab assignments and ultimately, a digital design project. The students design and implement a final digital project of their choice, in areas such as games, music, digital filters, wireless communications, video, and graphics. The course relies on extensive use of Verilog® for describing and implementing digital logic designs on state-of-the-art FPGA.
This course introduces the principal algorithms for linear, network, discrete, nonlinear, dynamic optimization and optimal control. Emphasis is on methodology and the underlying mathematical structures. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization, optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton's method, heuristic methods, and dynamic programming and optimal control methods.
This course provides an introduction to the language of schemes, properties of morphisms, and sheaf cohomology. Together with 18.725 Algebraic Geometry, students gain an understanding of the basic notions and techniques of modern algebraic geometry.
This course is the second course of the quantum field theory trimester sequence beginning with Relativistic Quantum Field Theory I (8.323) and ending with Relativistic Quantum Field Theory III (8.325). It develops in depth some of the topics discussed in 8.323 and introduces some advanced material.
This course is designed to teach students how to price goods and services by providing a framework for understanding pricing strategies and tactics. Topics covered include economic value analysis, price elasticities, price customization, pricing complementary products, pricing in platform markets and anticipating competitive price responses.