Coronavirus in Norway
Our campuses are open. Please read updated information for students and staff on our website.
Coronavirus in Norway
Our campuses are open. Please read updated information for students and staff on our website.
This course will present complex systems (cellular automata, networks, and agent-based) modelling and programming through state-of-the-art artificial intelligence methods that take inspiration from biology (sub-symbolic and bio-inspired AI methods), such as evolutionary algorithms, neuro-evolution, artificial development, swarm intelligence, evolutionary and swarm robotics.
No formal requirements over and above the admission requirements.
On successful completion of the course, students will get both theoretical and practical experience within complex systems and bio-inspired/sub-symbolic AI methods. In particular, students should have the following outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The student:
Skills
The student:
General Competence
The student:
The course consists of lectures and seminars on techniques and methods, as well as a project to be carried out in groups. The project will be chosen from a portfolio of available problems. The students will work in groups and will submit the code and a project report.
Practical training
Lab sessions.
None.
The assessment will be based on a portfolio of the following:
The weight of the two parts is about 50% each.
The project report should be between 15 and 30 pages. Both the code/program and the report will be evaluated. The comprehensiveness of the code/program is evaluated with the assumption that each student in the group has committed about 60 hours towards developing the solution. As a general guideline, the code/program carries a stronger weight than the report.
The oral exam cannot be appealed.
None.
For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.
Two internal examiners. External examiner is used periodically.