Industry and Science Postgraduate Degrees in the USA

...Policy on Team Work and Collaboration Team learning and problem solving are encouraged. However, it is important, particularly on the problem... Learn about: Team Training...

...This assignment will comprise at least 50% of the course grade. The remainder will be made up of the remaining homework assignments (of which there will be...

...You must submit 20 notes for full credit, with no more than two posts counting in any one week. These can include short responses to other peoples' posts... Learn about: Artificial Intelligence, Cognitive Science...

...2 sessions / week, 1.5 hours / session Professor: Leslie Pack Kaelbling 6.825 is a graduate-level introduction to artificial intelligence. Topics include... Learn about: Network Training, Artificial Intelligence...

...and building modern computing systems. Particular attention is paid to concurrent and distributed systems. Topics covered include: specification and verification...

...full letter grade penalty on the lab exercise component of your overall grade. These late hours are intended for cases where you fall behind due to illness... Learn about: Communication Training, System Engineering, Operating Systems...

...NOTE: Professor Tedrake offered an updated version of this course that can be accessed through the edX platform. Students actively engaged in robotics...

...A calendar of topics is presented below. 6.xxx is designed to help you learn about progress toward the scientific goal of understanding human intelligence... Learn about: Artificial Intelligence...

...robotics, biomechanics, physics, applied mathematics and scientific computing. Lectures: 2 sessions / week, 1.5 hours / session This graduate course introduces... Learn about: Quality Training...

...(see below). However, students who have not taken the above specific course who still have a basic knowledge of complexity theory, either through the...

...A detailed schedule including daily lecture topics will appear in the course calendar. There will be weekly problem sets early in the term, and a few longer...

...Watrous, John. "Quantum Computational Complexity." Quantum Computing Since Democritus: Lecture Notes No prior knowledge of quantum mechanics is assumed... Learn about: Communication Training...

...and exploring new results and applications. We will also organize optional problem-solving sessions, during which we can jointly try to solve open problems in folding...

...The style is a little less formal. Herlihy, Maurice, and Nir Shavit. The Art of Multiprocessor Programming. Burlington, MA: Morgan Kaufmann... Learn about: Quality Training...

...a good set of lecture notes with many details. There is no textbook required for the course. Lecture notes are available for the current term as well...

...approximation and counting problems; parallel and distributed algorithms; online algorithms. Undergraduate courses in Algorithms (6.046J) and in Probability Theory...

...Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe...

...A series of short reading summary assignments will accompany the readings in order to help students focus on the important issues and to give credit for doing the reading...

...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...

...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...