About profiles
Each profile has a set of required courses and a set of related (optional) courses associated with it. A student realises a profile if she/he has successfully validated all the required courses in a profile.
To obtain the master degree, a student must realise at least one profile. By limiting the number of required courses in each semester we ensure that the student can pursue multiple profiles if she/he desires so.
Note that the set of profiles is not static. Indeed additional profiles may be introduced to accommodate student, professor or industry needs.
Artificial Intelligence profile
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
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