ACIT4830 Special Robotics and Control Subject Course description

The course provides an arena where students can learn about specific technologies and methods that are relevant for applications in robotics and control. These themes can be varied from artificial intelligence methods for robotics and control, Internet of Things and sensor network systems, autonomous and distributed systems, embedded systems, industrial process control, and other special subjects within robotics and control.

The first part of the course is organised as a series of lectures and seminars. The second part of the course is a practical project. The course is completed by the students submitting a report and giving a presentation of their work.

Individual oral exam.

The oral 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 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.

No formal requirements over and above the admission requirements.

Upon successful completion of the course, the student:

Knowledge

• has advanced knowledge within a sub-area of robotics and control.
• has knowledge about the process of planning and conducting a project.

Skills

• can apply the theoretical knowledge and research-based methodologies into a practical problem.
• can propose a detailed project plan.
• can write a scientific report.

General competence

• can analyze, present and debate specific research subjects in light of the theoretical and practical approaches.
• can discuss the subject both at expert and non-expert levels.

The first part of the course is organised into a series of lectures and seminars. Students are expected to play an active role. Lectures are given by the course lecturer and invited lecturers. Students will also be required to present papers, and discuss course themes during lectures and seminars.

The second part of the course is a practical project in groups of 2-5 students. The course is completed by the students submitting a report and giving a presentation of their work.

None.

The course focuses on a broad and rigorous approach necessary to do reliable research within the area of analysis and offers a deeper theoretical understanding that can supplement and be leveraged alongside the knowledge and skills from the previous two specialization courses.

The course provides a perfect basis for any person who wants to venture into this area. It is also a springboard for functional analysis and operator algebras.

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.

A student who has completed this course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

On successful completion of this course the student:

• has basic knowledge of point set topology
• has basic knowledge of measure theory
• has basic knowledge of Fourier analysis
• has basic knowledge of complex function theory

Skills

On successful completion of this course the student:

• is able to prove some of the most fundamental results of mathematical analysis
• is able to apply basic notions and results in proofs and derivations

General competence

On successful completion of this course the student:

• is able to understand literature within these topics
• can transfer with trust this understanding to own research.

Lectures and tutored exercises.