MAMUS4200 Physical Therapy for Musculoskeletal Conditions - Part 2 Course description

Grade scale A-F.

Completed the course MAMUS4100.

It is highly recommended that the student has taken the courses Advanced Machine Learning and Deep Learning and/or Evolutionary AI and robotics. It is also recommended to have good programming skills, such as 20 ECTS of previous programming-focused subjects.

Introduction to modern methods, techniques and tools used in projects related to the course assignment. Lectures and tutorials will be given on the tools, laboratories and facilities available at OsloMet, and their use in relation to the given assignment text, specifications, design, verification, prototyping and development. A realistic project will then be carried out where participants work together as an "applied artificial intelligence development team".

The project involves the full process from specifications, programming, testing, verification and documentation.

The course will use varied, student-active work methods. Teaching is organised as two one-week sessions on campus. Work methods comprise lectures, flipped classroom, seminars, presentations, group work and self-study. Presentations at the seminars are important to support the learning process.

The following must have been approved in order for a student to be permitted to take the examination:

• An oral presentation of the group assignment and give oral feedback to another group’s presentation (peer assessment/opponent), with a duration of up to 25 minutes.
• Individual oral presentation of an assignment and give feedback to a fellow student, with a duration of up to 15 minutes

Individual home examination over two weeks. Scope: 2,500 words (+/- 10%).

All aids are permitted, as long as the rules for source referencing are complied with.

Grade scale A-F.

All answers are assessed by one examiner.

An external examiner is used regularly, at a minimum of every third completion of the course. When selecting answers for external evaluation, a minimum of 10 percent of the answers shall be included, with no fewer than 5 answers. The external examiner’s assessment of the selected answers shall benefit all students.

10 ECTS credits overlaps with MAFYS4000 Theoretical Basis and Evidence Based Practice in Physiotherapy, 20 ECTS credits.