| Artificial Intelligence - 11993 - CS 57100 - LE1 |
||||
|---|---|---|---|---|
|
Associated Term: Fall 2022
Levels: Undergraduate, Graduate, Professional West Lafayette Campus Lecture Schedule Type Learning Outcomes: Upon successful completion of the course, a student should be able to: ● Assess and explain the applicability, strengths, and weaknesses of the basic knowledge representation, problem-solving, and learning methods in solving a particular problem. ● Predict the behavior and estimate the cost (in time and space) of different heuristic and optimal search methods, and choose the appropriate method for particular problems. ● Develop small logic-based, rule-based, and search-based systems; be able to predict performance characteristics. ● Predict the behavior of basic machine-learning methods, and choose the appropriate method for particular problems. ● Communicate critical key issues in AI-related to knowledge representation, problem-solving, and learning for a specific problem. ● Propose, evaluate, and implement effective solutions to problems requiring AI techniques. ● Articulate key problems, both technical and philosophical, in the development of artificial intelligence systems. Required Materials: See https://www.cs.purdue.edu/homes/clifton/cs57100/ Technical Requirements: See https://www.cs.purdue.edu/homes/clifton/cs57100/ View Catalog Entry
| ||||
