ACIT4610 Evolutionary artificial intelligence and robotics Course description

Pass / Fail

No formal requirements over and above the admission requirements.

On successful completion of the course, students should have the following learning outcomes defined in terms of knowledge, skills, and general competence.

Knowledge

The student:

• has advanced knowledge in sub-symbolic and bio-inspired AI methods.
• has a clear understanding of key concepts in AI such as emergence, adaptation, evolution.
• has a clear understanding of complex systems modelling and analysis.

Skills

The student:

• can program complex systems using bio-inspired AI methods.
• can design and implement evolutionary and swarm robotic systems.
• can model complex systems using evolutionary AI models.

General Competence

The student:

• has theoretical and practical understanding of biologically-inspired AI methods, evolutionary robotics, complex systems methods.
• can understand and discuss relevance, strength and limitations of biologically inspired and complex systems.
• is able to work in relevant research projects.

Admission requirements

This course is primarily aimed at PhD candidates admitted to the PhD Programme in Health Sciences but is also open to other applicants. Admission requirements are a completed hovedfag, master's degree (120 ECTS credits) or equivalent qualification.

The course can also be offered to students who have been admitted to the "Health Science Research Programme, 60 ECTS", by prior approval from the supervisor and based on given guidelines for the research programme.

None.

The assessment will be based on a portfolio of the following:

• A group project delivery (2-4 students), consisting of a report (7500-3000 words) and code
• An individual oral examination (20 minutes)

The weight of the two parts is 50% each.

The project report should be between 7500-3000 words. 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 portfolio will be assessed as a whole and the exam cannot be appealed.

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

All aids are permitted, provided the rules for plagiarism and source referencing are complied with.

For the oral exam, students will not have access to computers or other aids.

Grade scale A-F.

Two internal examiners. External examiner is used periodically.

TBA