6.034 Artificial Intelligence
Introduces representations, methods, and architectures used to build applications and to account for human intelligence from a computational point of view. Covers applications of rule chaining, constraint propagation, constrained search, inheritance, statistical inference, and other problem-solving paradigms. Also addresses applications of identification trees, neural nets, genetic algorithms, support-vector machines, boosting, and other learning paradigms. Considers what separates human intelligence from that of other animals. Students taking graduate version complete additional assignments.
This class has 6.0001 as a prerequisite.
6.034 will be offered this semester (Fall 2019). It is instructed by P. H. Winston.
Lecture occurs 10:00 AM to 11:00 AM on Mondays, Wednesdays and Fridays in 10-250.
This class counts for a total of 12 credits.
You can find more information on MIT OpenCourseWare at the Artificial Intelligence site.
© Copyright 2015 Yasyf Mohamedali