CSC 3192 units300 LevelFirst Semester

Artificial Intelligence

B.Sc. Cybersecurity, University of Uyo

Foundations of AI: intelligent agents, search algorithms, knowledge representation, semantic networks, natural language processing, and expert systems. Directly relevant to AI-powered anomaly detection, prediction, and automated analysis across computing.

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  • 2 recommended textbooks
  • an AI tutor that has read this course’s outline and notes
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Course outline

  1. 01Overview, history, goals, types, branches and applications of AI
  2. 02Intelligent agents: performance, faculties, rationality, environment, architectures
  3. 03Search: general classes of AI search problems, techniques and strategies
  4. 04Knowledge representation: predicate logic, non-monotonic logic, probabilistic reasoning
  5. 05Semantic networks and frames
  6. 06Natural language processing: syntactic and semantic structures
  7. 07Expert systems: characteristics, components, types, development
  8. 08Programming languages for AI; introduction to computer image recognition
  9. 09Lab: Turing test, facial recognition, chatbots, spam detection, sentiment analysis, machine translation

Recommended textbooks

  • Artificial Intelligence: A Modern Approach — Stuart Russell & Peter Norvig

    4th ed. — the definitive AI textbook used worldwide (AIMA)

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow — Aurélien Géron

    3rd ed. — practical ML with Python; excellent lab companion

How to pass CSC 319

  • Understand A* search intuitively by tracing it on a grid before studying the formal algorithm
  • Connect AI to a concrete application in your own field in every exam answer — applied answers score higher
  • Google's free Machine Learning Crash Course covers supervised/unsupervised ML at the right level
  • AI ethics questions (bias, fairness) appear frequently — develop considered, referenced arguments

Other 300 Level courses

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