Industry and Science Postgraduate Degrees in the USA

...Berkeley courses are drawn from the reference Intro to Statistical Quality Control, D. C. Montgomery, Wiley, 1985. MIT Leaders for Manufacturing The LFM Research Program... Learn about: Team Training...

...Additional topics that are covered include: surface characterization, preparation, and measurement techniques, resist technology, optical projection...

...responses to the readings or assigned questions are due by 10 am on the day of class. You should post these directly to the MIT server discussion board... Learn about: Artificial Intelligence, Cognitive Science...

...If you are looking for a partner for an assignment, email the class list asking if anyone is available. You are also quite welcome to discuss the assignments... Learn about: Network Training, Artificial Intelligence...

...key invariants for the correctness of the code. This is not optional; if you can’t write these things down, you don’t understand what you are doing...

...with some x86 assembly. Lectures: 2 sessions / week, 1.5 hours / session 6.033 Computer System Engineering 6.170 Software Studio 6.004 Computation Structures... Learn about: Communication Training, Operating System, System Engineering...

...nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods. Topics include nonlinear dynamics of passive robots (walkers...

...Because of the emphasis on reading, discussion, and presentation, enrollment is limited. Doing a substantial project is required for graduate H credit... Learn about: Artificial Intelligence...

...techniques in a semester-long research project. Programming experience and mathematical sophistication are essential for this course. Successful completion... Learn about: Quality Training...

...This graduate-level course focuses on current research topics in computational complexity theory. Topics include: Nondeterministic, alternating...

...covering the entire MIT curriculum. No enrollment or registration. Freely browse and use OCW materials at your own pace. There's no signup, and no start or end dates...

...Students are welcome to collaborate on problem sets; however, if they do so, they must list the names of collaborators. Notes (taken by the students)... Learn about: Communication Training...

...This course is about algorithms for analyzing and designing such folds. Motivating applications include: Major progress has been made in recent years in many of these directions...

...networks to multiprocessor shared-memory systems. They also have a rich theory, which forms the subject matter for this course. Lectures: 2 sessions /... Learn about: Quality Training...

...Modify, remix, and reuse (just remember to cite OCW as the source.) Learn more at Get Started with MIT OpenCourseWare...

...approximate counting; parallel algorithms; online algorithms; derandomization techniques; and tools for probabilistic analysis of algorithms. Lectures...

...Knowledge is your reward. Use OCW to guide your own life-long learning, or to teach others. We don't offer credit or certification for using...

...review of relevant AI techniques; case studies from a number of application domains, chosen to illustrate principles of system development; a discussion...

...covering the entire MIT curriculum. No enrollment or registration. Freely browse and use OCW materials at your own pace. There's no signup, and no start or end dates... Learn about: Medical training...

...Case studies of contemporary systems are used in lecture sessions. Term project is required. The project involves using a large pseudonymized clinical... Learn about: Medical training...