ACIT4610 Evolutionary Artificial Intelligence and Robotics Course description

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:

• Has a deep understanding of complex systems modelling and analysis
• 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.
• Can relate concepts in artificial intelligence and biological intelligence

Skills

The student:

• Can model and analyse complex systems using cellular automata, networks and agent- based models
• Can program complex systems using bio-inspired AI methods
• Can design and implement evolutionary and swarm robotic systems

General Competence

The student:

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

No formal requirements over and above the admission requirements.

The student should have the following outcomes upon completing the course:

Knowledge

Upon successful completion of the course, the student:

• has thorough knowledge of cyber security
• has advanced knowledge of mechanisms for cyber defense, and how they are used in practice
• has a thorough understanding of societal aspects of cyber security
• has a thorough understanding of the relation between security and privacy
• has good understanding of and insights into penetration testing

Skills:

Upon successful completion of the course, the student:

• can describe the main aspects of the relation between security and privacy
• can describe central problems related to cyber security governance
• can perform basic operations related to penetration testing
• can plan and describe the structure of cyber defense for an organization

General com​petence:

Upon successful completion of the course, the student:

• understands the role of, and mechanisms that are used in penetration testing
• understands the role of, and mechanisms that are used for cyber defence
• can explain and discuss security challenges related to cyber security to experts and non-experts alike
• can explain and discuss societal aspects of cyber security with experts and non-experts alike

This course features weekly lectures and workshops to provide both theoretical content and hands-on experience. Students work individually or in groups to complete assignments. The students supplement the lectures and workshops with their own reading. Compulsory assignments are given throughout the semester.

The following required coursework must be approved before the student can take the exam:

The student is required to complete at least 8 of 12 assignments to a satisfactory level. The assignments focus on technical work or on theoretical aspects, and are documented in reports.

Individual written exam 3 hours.

The exam grade can 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 applying 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.

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.