CSC 376 Artificial Intelligence

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CSC 376 Artificial Intelligence

• Shannon Pollard

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Course Description

• An introduction to the area of Artificial
  Intelligence systems. Students will learn
  concepts of knowledge representation, reasoning,
  acting in uncertainty, and learning.
  Applications studied will include game playing,
  natural language, and expert systems.

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Topics

• History and present state of AI 
• Knowledge representation frames, predicates,
  semantic nets, etc
• Reasoning (Prolog)
• Heuristic Search
• Expert Systems
• Natural Language Systems
• Machine Learning MDPs, Neural Networks,
  Bayesian Networks
• Theorem Proving
• Logic Propositional and Predicate
• Robotics

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Evaluation

• Average exam average 77.54
• Average course grade 82.93
• Strengths Motivation for any programming
  project, algorithm hand-simulation
• Weaknesses Software Engineering!!

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Teaching Evaluation

• What worked
• Final projects
• Philosophy Day
• Bribery
• What to change
• More structured start to programs
• Add experimentation component to final projects
• Add more hands-on component
• Need more basic book