Master in Information and Computer Sciences (académique)

Profile: Adaptive Computing

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

• Semester 2
  • Required Courses:
    • Knowledge Discovery and Data Mining
    • Optimisation for Computer Science
  • Related Courses:
    • Algorithmic Decision Theory
    • Information Theory and Coding
    • Intelligent Agents I
• Semester 3
  • Required Courses:
    • Computational Statistics
    • Machine Learning
    • Parallel and Grid Computing
  • Related Courses:
    • Game theory
    • Intelligent Agents II
    • Selected Topics in Artificial Intelligence
    • Stochastic Models in Intrusion Detection Systems