ENGR 3150U – Artificial Intelligence and Machine Learning

This course covers the fundamental aspects of Artificial Intelligence and Machine Learning. The students will learn the concept and history of AI, discuss the advantages and disadvantages of some basic AI applications, understand the various AI models, learn what the latest generation of artificial intelligence techniques can actually do, and learn the basics of machine learning to solve problems including real-world industrial problems. Course topics include: knowledge, reasoning, planning, uncertainty, decision trees, ensemble learning, reinforcement learning, evolutionary computation, neural networks, heuristic search strategies, supervised vs. unsupervised learning, search and optimization, probabilistic methods, and pattern recognition.
Credit hours: 3
Lecture hours: 3
Laboratory hours: 2 (bi-weekly)
Prerequisite(s): STAT 2800U and SOFE 2710U