Course content

Selected topics will be announced at the start of the semester and may include some of the following:

• Introduction to artificial intelligence
• Rule-based expert systems
• Frame-based systems
• Fuzzy logic and fuzzy expert systems
• Agent-based modelling and simulation
• Evolutionary algorithms
• Machine learning
• Artificial neural networks
• Reinforcement learning
• Hybrid intelligent systems
• Possibly other topics

Learning outcome

Knowledge

• The candidate can explain and compare theory, principles, applications, strengths and weaknesses of methods presented in the course

Skills

• The candidate can demonstrate the use of methods presented in the course, both through digital tools and simulation

General competence

• The candidate can use digital tools for implementation of intelligent systems
• The candidate can explain the value of intelligent systems for sustainable processes, services, or systems
• The candidate can present problems and relevant solution methods in a professional and scientific manner
• The candidate can discuss ethical challenges of artificial intelligence

Learning methods and activities

Learning activities generally include a mix of lectures, tutorials and practical assignment or project work. A constructivist and contextual approach for learning is endorsed, with focus on problem solving and practical application of theory.

Compulsory assignments

• Works

Specific conditions

Recommended previous knowledge

• Programming and algorithms taught in AIS1003 Objektorientert programmering for kyberfysiske systemer and AIS1104 Automatisering og mekatronikk med prosjekt, or similar.
• Mathematics and statistics taught in IMAA2012 Matematiske metoder for ingeniørfag 2 and ISTA1002 Statistikk, or similar.

Required previous knowledge

The course has no prerequisites. It is a requirement that students are enrolled in the study programme to which the course belongs. Permission to take the course can be allowed for engineering students at NTNU or from abroad (exchange students) at the discretion of the academic director of the study programme.

Course materials

An updated course overview, including curriculum, is presented at the start of the semester. The course material is in English to enable exhange students to take the course.

Credit reductions