COURSE DETAIL
COURSE DETAIL
This course provides a study of the basic techniques for building intelligent computer systems and how Artificial Intelligence is applied to problems. It covers theory, algorithms, and their applications. The course is divided into four parts. The first part of the course includes an introduction to AI, history of AI, problem solving and search. The second part covers machine learning, linear models, decision trees, and neural networks. The third part studies decision marking and includes topics such as, logical agents, quantifying uncertainty, Bayesian networks, Markov decision process, and reinforcement learning. The final part of the course examines natural language processing, computer vision, and robotics.
COURSE DETAIL
COURSE DETAIL
This course examines computer music for students with basic programming abilities. It covers fundamental audio analysis and synthesis, and algorithmic music with machine learning.
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
This course examines outline of object-oriented programming, use of C + + standard library, classes and objects, inheritance and derivation, polymorphism and combination, preliminary design patterns and new features of C + + programming language.
COURSE DETAIL
COURSE DETAIL
This course offers a study of programming technology. Topics include: Object Oriented Programming (OOP); classes and objects, the creation and destruction of objects, and dynamic memory; inheritance; polymorphism and dynamic binding; exceptions; input and output.
COURSE DETAIL
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