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