Please note that this evaluation is based on the average score for each reviewer in all the criteria

• The number of reviewers: 4

Graphs

<aside> 💡 Short Description of the Course Material:

AI history and applications; Intelligent agents and expert systems; Introduction to AI programming; Problem solving agents by uninformed, heuristic and local search; Constraint satisfaction and programming, games and adversarial search; Knowledge-based agents: Propositional and first-order logic, Forward and backward chaining and inference; Planning and reasoning in uncertain situations; Basics of machine learning; Natural language processing; Exposure to other applications of AI (e.g. Vision and Robotics)Co-requisites: STAT 319

Prerequisites: ICS 253

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General Evaluation

• Difficulty of the course: 4.25/5 (Hard)
• Is there a Lab for this course: No
• is there a project for this course: No
• Are there assignments for this course: Yes
• Is there are any other requirements? (Things that are required from students apart from assignments and projects): No
• in your opinion, How important is the course content for other courses in the plan? : 1.75/5 (It’s extremely important only for those who are pursuing a career in AI)

Detailed Evaluation

• The difficulty of the course material: Hard