ITE515

Course Description

This course provides a comprehensive introduction to artificial intelligence. It is intended to equip the students with theoretical and hands-on practical knowledge necessary to analyze and understand different aspects related to modern AI systems. Topics covered include intelligent agents’ design, search and optimization algorithms, machine learning (ML), deep learning (DL), natural language processing (NLP), and recommender systems (RecSys). The course utilizes variety of learning and assessment tools including practical labs, case-study analysis, and research paper writing. By completing this course, the students will be able to analyze the requirements for real-life AI systems, design them using the Rational Agent Design Framework, implement them by applying advanced learning, search, or optimization algorithms, and evaluate them using different evaluation tools and techniques presented in the course.

Course Details