Techniques in Artificial Intelligence OpenCourseWare: MIT's Free Graduate Level Course on Artificial Intelligence
'Techniques in Artificial Intelligence' was originally offered to students pursuing graduate degrees in Electrical Engineering and Computer Programming at MIT and was available through the Singapore-MIT Alliance. Anyone can now access the course free through MIT's OpenCourseWare program. 'Techniques in Artificial Intelligence' is an introduction, on the graduate level, to artificial intelligence.
Techniques in Artificial Intelligence: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Graduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | Yes |
Techniques in Artificial Intelligence: Course Description
The original 'Techniques in Artificial Intelligence' course was aimed at students in the Electrical Engineering and Computer Science Department of MIT who were looking to learn more about artificial intelligence. Students thinking of taking this course should have some familiarly (basic or introductory knowledge) of computer science math, algorithms, probability, logic, calculus, computational complexity and data structures. Students used Java to complete their assignments. Course topics include propositional logic, knowledge representation, GraphPlan, SATPlan, bayesian networks, decision theory and probabilistic planning. Professor Leslie Pack Kaelbling taught the original 'Techniques in Artificial Intelligence' course at MIT with assistance from Prof. Tomás Lozano-Pérez. The original course was given in lecture-format.
This course provides users with access to assignments plus solutions, exams and solutions and lecture notes. If putting a robot on Mars interests you, please visit the artificial intelligence course page.
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