SGN-81006 Signal Processing Innovation Project, 5-8 cr

Person responsible

Sari Peltonen


Implementation Period Person responsible Requirements
SGN-81006 2019-01 3 - 4 Joni Kämäräinen
Sari Peltonen
Tuomas Virtanen
Attendance on seven seminar meetings. Two presentations and written project plan and final report.

Learning Outcomes

After completing the course, the student - has learned detailed information about a specific topic in signal processing or machine learning, - is able to manage a small project, - can work in a project and write project reports in the technical scientific format, - has the ability to present the project to an audience, and - has gained insight into writing the MSc thesis.


Content Core content Complementary knowledge Specialist knowledge
1. Individual or group project.     
2. Project management, scheduling and cost estimation.     
3. Correct reporting.     
4. Ability to present one's project to an audience.     

Instructions for students on how to achieve the learning outcomes

Credits are assessed by the difficulty of the project and work load of the student. Credits are agreed in the project plan and possible extra work which would increase the amount of credits is also described in the same report.

Assessment scale:

Evaluation scale passed/failed will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Additional information about prerequisites
Student should have enough basic knowledge from signal processing and machine learning to be able to do the chosen project work.

Correspondence of content

Course Corresponds course  Description 
SGN-81006 Signal Processing Innovation Project, 5-8 cr SGN-1706 Signal Processing Project, 5-8 cr  

Updated by: Kunnari Jaana, 05.03.2019