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COMP 5313

Artificial Intelligence

0.5 credits · Graduate

Winter 2024

Topics

  • The course deals with a broad range of advanced types of artificial intelligence (AI). A specific emphasis
  • Intuition-Based AI
  • Symbolic AI
  • Connectionist AI
  • State-Space AI
  • Logic Based AI and Possibilistic AI with variety of Machine Learning (Supervised
  • Unsupervised and Ensemble Learning)
  • searching
  • reasoning and learning when dealing with variety of knowledge (Textual
  • Visual
  • which continues to expand human capability beyond our imagination
  • the core concepts and algorithms of advanced AI
  • Analyze the structures and algorithms of a selection of techniques related to searching, reasoning, machine learning, and language processing
  • Design AI functions and components in Python involved in intelligent systems such as computer games
  • expert systems
  • semantic web
  • information retrieval
  • machine translation
  • mobile robots
  • decision support systems
  • and intelligent tutoring systems
  • Review research articles from well-known AI journals and conference proceedings regarding the theories and applications of AI

Readings

  • Required: Artificial Intelligence with Python - Second Edition, Alberto Artasanchez and Prateek Joshi, Packt Publishing (Jan. 31 2020), ISBN-10: 183921953X Artificial Intelligence: Foundations of Computational Agents, 2nd Edition, David L. Poole and Alan K. Mackworth, University of British Columbia, September 2017, ISBN: 9781107195394, Cambridge University Press
Sources