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COMP 4475

Topics in Artificial Intelligence

0.5 credits · Undergraduate

Undated

Topics

  • including but not limited to machine learning
  • natural language processing
  • computer vision
  • reinforcement learning
  • emerging trends
  • and theoretical foundations that shape the landscape of AI research and development. Through a combination of lectures
  • hands-on projects
  • and discussions
  • preparing them to contribute to and navigate the dynamic and multifaceted world of artificial intelligence
  • Define and explain fundamental concepts in artificial intelligence, including machine learning, natural language processing, computer vision, and expert systems
  • Analyze case studies and examples to understand how AI is being applied in various industries
  • and evaluate the potential impact on business processes and decision-making

Readings

  • Suggested: Artificial Intelligence A Modern Approach, 4th edition, Stuart Russell & Peter Norvig, Published by Pearson (July 14, 2021) © 2012 Anany Levitin Villanova University
Sources