Artificial Intelligence (AI) is the intelligence expected to be demonstrated by machines and computer programs. This course is designed to provide students with expertise in creating and modifying required AI algorithms and techniques. The first part of the course will focus on classic AI solutions (especially decision making) while the second part will cover some of machine learning (ML) related applications of AI (with an emphasis on learning from examples). The course will consider real world problems that need to be solved with applications of AI and the techniques used to build such applications (e.g. using the techniques to create challenging non player characters (NPC) in games development or password strength classification and intrusion detection in network security). More specifically, students will learn about the searching paradigm in designing intelligent agents and will practice implementing search algorithms. Logical knowledge representation and reasoning (another essential tool for AI experts) will be another topic in this course. Probabilistic reasoning will also be explored to help students learn how to deal with incomplete information and uncertainty. The course will also examine different learning techniques to guide students in creating self-learning models that can improve performance in decision-making over time through practical examples.
Below is one offering of this course for the Winter 2021 term.
Mon Jan 04 - Mon Mar 29 12 Weeks
|Jan 04 - Mar 29||Mon||18:30 - 22:15||
See Notes below
TBD – see Learning Outcomes in the interim
Upon successful completion of this course, the student will be able to:
Effective as of Fall 2020
COMP 8085 is offered as a part of the following programs:
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