Artificial Intelligence Applications MIT

Course description

This course provides theoretical and methodological knowledge and skills in artificial intelligence applications. This course is about using concepts of artificial intelligence to solve current, real-world problems.  This course will give an overview of the models and algorithms used in modern machine learning, including (but not limited to) generalized linear models, multi-layer neural networks, and clustering. .  This course also covers Machine Learning; case-based reasoning; intelligent systems; Optimization methods such as evolutionary algorithm and swarm intelligence; Pattern recognition; Image processing and analysis; Natural language processing ; Social intelligence; Control theory; Mathematical tools used in AI; Robotics.

  Courses Code   Courses Name   Courses object   Approved Hours
 ITE06  Artificial Intelligence Applications MIT    3