Intelligent Systems

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Course Code: 
BBE 4102
Course Credit Units: 
Semester 1
Year of Study: 
Year 4
Undergraduate or Graduate Level: 
Undergraduate Level
Course Discipline: 
Course Description & Objectives: 

Theory and implementation of a variety of techniques used to simulate intelligent behavior. Expert systems, fuzzy logic, neural networks, evolutionary computation, and     two-player game-tree search will be covered in depth.Knowledge representation, pattern recognition, hybrid approaches, and handling uncertainty will also be discussed

Learning Outcomes: 

By covering the course in Intelligent Systems, the student will be able to:

  • Appreciate the concepts of Artificial Intelligence and the diversity of approaches and definitions with which it is associated.
  •  Develop an understanding of heuristic methods.
  •  Learn  the  underlying  theory  and  practice  of  evolutionary  computation,  including  genetic algorithms and genetic programming.
  •   Appreciate  knowledge  engineering,  develop  expert  systems,  and  understand  fuzzy  expert systems.
  •  Develop an understanding of and implement artificial neural networks.
  •   Implement a two-player strategy game with optimized adversarial search.
  •  Implement, observe and evaluate alternative approaches to intelligent systems
Intelligent Systems
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