This course aims to provide students with information about artificial intelligence and its fundamental concepts and historical development; to introduce the basic approaches of machine learning and deep learning; to provide theoretical knowledge about supervised, unsupervised, and reinforcement learning methods and current deep learning architectures; and to raise awareness about the application areas of artificial intelligence and its ethical and legal responsibilities.

The course covers fundamental concepts of artificial intelligence, its historical development, machine learning and deep learning approaches, basic neural network architectures, ethical and legal responsibilities, and artificial intelligence applications.