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ELE660_1

Project in health technology

This is the study programme for 2019/2020. It is subject to change.


A project in health technology will be carried out.
Methods from cybernetics, signal processing, image processing and/or machine learning should be used. The project will target a medical application, for example by automatic processing and interpretation of medical data or images.

Learning outcome

At the end of this course, the student should be able to solve one or more practical problems eg by applying previously acquired knowledge. The problem(s) must be solved within a certain time and the work must be documented in the form of a report and an oral presentation.

Contents

This project course will be based on knowledge acquired earlier in the study program. We will bring together several subjects such as signal processing, image processing with computer vision, pattern recognition, control theory and robotics in a few major projects to apply knowledge in practical health and medical related applications . Typical practical applications can be automatic segmentation, interpretation, classification and/or analysis of medical signals or images, but are not necessarily limited to this.

Required prerequisite knowledge

None.

Recommended previous knowledge

ELE500 Signal Processing, ELE510 Image Processing and computer vision, ELE520 Machine learning

Exam

Oral exam and report
Weight Duration Marks Aid
Oral exam1/2 A - F
Report1/2 A - F

Course teacher(s)

Course coordinator
Kjersti Engan
Head of Department
Tom Ryen

Method of work

The project is implemented within 12 weeks and we expect that each student to spend about 15 hours per week on the project. Normally, two students work together on a project. Thus, scheduled workload is 360 hours per project. Each group is given a brief tutorial meeting each week.

Overlapping courses

Course Reduction (SP)
Project in Control Systems and Signal Processing (ELE630_1) 10
Project in cybernetics/signal processing (MIK110_2) 10

Open to

Master studies at the Faculty of Science and Technology.

Course assessment

Form and/or discussion.

Literature

No textbook. There will be a need to find specific literature in the form of articles and similar within the given theme for the individual groups.


This is the study programme for 2019/2020. It is subject to change.

Sist oppdatert: 12.11.2019

History