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Master in Information and Computer Sciences

Profile: Artificial Intelligence

Learning Outcomes

After successful completion of this profile the student will be able to

  • Explore and extract knowledge from large and/or complex information bases
  • Develop adaptive algorithms and systems able to deal with opaque, dynamic contexts
  • Construct mathematical and computational models of complex systems
  • Optimize static/dynamic multi-objective, multi-constraint problems

Courses

For detailed course information please refer to the Programme section.

Semester 2

  • Required Courses:
    • Knowledge Discovery and Data Mining
    • Optimisation for Computer Science
  • Related Courses:
    • Algorithmic Decision Theory
    • Big Data Analytics
    • Information Theory and Coding
    • Intelligent Agents I

Semester 3

  • Required Courses:
    • Advanced Database Topics
    • Parallel and Grid Computing
  • Related Courses:
    • Autonomous Robot Software
    • Computational Statistics
    • Intelligent Agents II
    • Selected Topics in Artificial Intelligence