MCT4043 – Music-related Motion Tracking

Schedule, syllabus and examination date

Choose semester

Learning outcome

Knowledge

Having completed the course the student will:  

  • be familiar with the basic principles of technologies for capturing different types of human motion.
  • have detailed knowledge of computational analysis of motion data.
  • know the main methodological challenges of using motion capture technologies in research.

Skills

Having completed the course the student will:  

  • be able to operate different motion capture systems, ranging from sensor-based to camera-based Technologies.
  • be able to critically reflect on different motion tracking technologies, and practically and aesthetically evaluate their usefulness for various applications.

Admission

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Students enrolled in other Master's Degree Programmes, can, on application, be admitted to the course if this is cleared by their own study programme. 

Prerequisites

Formal prerequisite knowledge

Completion of the course MCT4000 - Introduction to Music, Communication and Technology or equivalent documented competencies. 

Recommended previous knowledge

It is recommended that the student has basic signal processing and programming experience, and some experience in music technology. 

Teaching

The course will be based on a flipped classroom model with:

  • a set of video lectures, reading assignments and online qualification tests.
  • a two-week intensive workshop (30 hours) with compulsory attendance. In order to take the final exam, students must obtain at least 80% attendance. Students will work on group projects chosen in collaboration with the course leader. The group projects consist in designing and implementing an interactive motion tracking system for musical performance and/or research. Systems built by students will be displayed in a presentations during the last day of the course. 

Examination

Group trial lecture (60%) 

The trial lecture consists of short presentations from each group project detailing the background and development of the motion tracking application followed by a demonstrative performance not exceeding 20 minutes. 

Individual portfolio (40%) 

The individual portfolio should consist of a brief rationale, description of the methodology, results and personal conclusions from the group project. Maximum length of 7-8 pages or 3500 words single spaced. The portfolio can include figures and tables. 

In order to take the final exam, students must obtain at least 80% attendance. 

Language of examination

English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system

Explanations and appeals

Resit an examination

Withdrawal from an examination

It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.

Evaluation

The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.

Facts about this course

Credits

5

Level

Master

Teaching

Every spring

This course will run for the first time in the spring semester 2019.

Examination

Every spring

Teaching language

English