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| CS 57100 - Artificial Intelligence |
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Associated Term:
Fall 2022
Learning Outcomes: 1. Assess and explain the applicability, strengths, and weaknesses of the basic knowledge representation, problem-solving, and learning methods in solving a particular problem. (E,W) 2. 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. (W,P) 3. Develop small logic-based, rule-based, and search-based systems; be able to predict performance characteristics. (P) 4. Predict the behavior of basic machine-learning methods, and choose the appropriate method for particular problems. (W,P) 5. Communicate critical key issues in AI-related to knowledge representation, problem-solving, and learning for a specific problem. (W) 6. Propose, evaluate, and implement effective solutions to problems requiring AI techniques. (P) 7. Articulate key problems, both technical and philosophical, in the development of artificial intelligence systems. (E,W) Required Materials: Technical Requirements: |
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