Bachelor's Programme in Artificial Intelligence

What you Learn

Required Learning Outcomes

Candidates after finishing should have the following learning outcomes:

Knowledge:

• Have a wide theoretical understanding on how Artificial Intelligence-supported systems (AI-systems) work and is constructed.
• Understand how one can program and experiment with AI-systems with the help of methods from machine learning, symbolic reasoning, and algorithmic-analyses.
• Understand how technical Artificial Intelligence solutions can have ethical relevance for society and the individual.

Skills:

• Be able to program new Artificial Intelligent systems and experiment with existing systems.
• Be able to analyse, describe and solve a problem by utilizing Artificial Intelligence-methods
• Be able to evaluate a Artificial Intelligent-system with special care to how it can be performed responsible, be transparent and take balanced decisions.
• Be able to explain Artificial Intelligence-theory to non-professionals.

General competence:

• Be able to contribute as a ICT-system developer in different types of roles. Ranging from everything from communication with the users to advanced technical development.
• Be able to cooperate both in group- and project-work.
• can formulate written reports and documentation and be responsible for oral presentation of own work.