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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

  • Use state-of-the-art approaches and tools for assessing large amounts of data
  • Explore and extract knowledge from large and/or complex information bases
  • Implement and apply machine learning methods for solving common AI problems
  • Use logical methods to formalise knowledge and to reason about it, in particular in multi-agent systems and deontic contexts

Courses

For detailed course information please refer to the Programme section.

Semester 2

  • Required Courses:
    • Big Data Analytics
    • Intelligent Agents I
    • Knowledge Discovery and Data Mining
  • Related Courses:
    • Introduction to Mathematical Statistics (from math)
    • Formal Methods
    • Optimisation for Computer Science
    • Information Theory and Coding

Semester 3

  • Required Courses:
    • Intelligent Agents II
    • Machine Learning
  • Related Courses:
    • Fundamentals of Causal Learning
    • Autonomous Robot Software
    • Parallel and Grid Computing
    • Selected Topics from AI