Module/Course Description

Course Title: Artificial Intelligence

Course Code: UU-COM-4002

Programme: Bachelor of Science (BSc) in Computer Science - MW - BL

Credits: 3.00

Course Description:

Objectives of the Course:

To provide an introduction to the theory and practice of Artificial Intelligence. It is designed to develop an understanding of the fundamental issues associated with the
field such as: problems and search, knowledge representation and reasoning, game playing, rule-based systems. Advanced topic areas such as probabilistic reasoning and Bayesian networks are also introduced.

Learning Outcomes:

  1. define problems in terms of a formal representation
  2. analyze problems based in their characteristics
  3. examine various search techniques (both uniformed and informed) and apply them to solve problems
  4. develop suitable heuristic functions for informed search
  5. implement a solution to a problem using searching
  6. explain the role of Knowledge Representation in Artificial Intelligence
  7. use predicate logic to translate and prove sentences
  8. explain the fundamentals of rule-based systems
  9. examine the various approaches to uncertain reasoning and apply them to problems
10. explain the fundamentals of game playing (both deterministic and stochastic games) and apply the suitable algorithms for searching and pruning game trees

Prerequisites: UU-ACG-1000, UU-MKT-2000, UU-MAN-2010, UU-BBA-2000, UU-ENG-1000, UU-ENG-1001, UU-ENG-1005, UU-COM-1000, UU-MTH-1000, UU-MTH-1005, UU-MTH-2000, UU-MTH-3000, UU-COM-1100, UU-COM-1101, UU-COM-2004, UU-COM-2000, UU-COM-2001, UU-COM-2002, UU-COM-2003, UU-COM-3000, UU-COM-3002, UU-COM-3003, UU-COM-3004, UU-COM-3005, UU-COM-4004, UU-COM-4008, UU-COM-4009, UU-COM-4010, UU-BA-IND100, UU-FNT-103, UU-BBA-2010-BCS, UU-BBA-1000-BCS

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