SGN-90206 International Doctoral Seminar in Signal Processing, 1-8 cr
Additional information
In this course, the student is intended to attend throughout the year a series of lectures and presentations from researchers and professors working in the fields of Signal Processing and Computational Biology. From this course, the student will be able to list and summarize state-of-the-art topics on Signal Processing and Computational Systems Biology. The student will learn state-of-the-art topics on Signal Processing and Computational Systems Biology. Also, students will learn how to interpret results of high level journal publications and summarize conclusions within.
Suitable for postgraduate studies.
Person responsible
Andre Sanches Ribeiro, Frank Emmert-Streib, Olli Yli-Harja
Lessons
| Implementation | Period | Person responsible | Requirements |
| SGN-90206 2016-02 | 1 - 2 |
Heikki Huttunen Joni Kämäräinen |
The grade and the number of credits will be determined by the participation of the student in the talks of the invited speakers, as well as reports of these talks including the description of the topic discussed, and an assessment of the conclusions presented. |
| SGN-90206 2016-03 | 5 |
Alessandro Foi |
Active participation to the lectures (2cr). Optional project work where the participant has to apply the learned methods to a problem from her/his own field of research (2cr). |
Learning Outcomes
After this course, the student will be able to list and summarize state-of-the-art topics on Signal Processing and Computational Systems Biology. Also, students will be able to interpret the results of high level journal publications, classify strengths and weaknesses of the results, and summarize conclusions.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Signal Processing | ||
| 2. | Computational Systems Biology |
Instructions for students on how to achieve the learning outcomes
The grade and the number of credits will be determined by the participation of the student in the talks of the invited speakers, as well as reports of these talks including the description of the topic discussed, and an assessment of the conclusions presented.
Assessment scale:
Evaluation scale passed/failed will be used on the course
Partial passing:
Study material
| Type | Name | Author | ISBN | URL | Additional information | Examination material |
| Book | Sparse and Redundant Representations | M. Elad | No | |||
| Summary of lectures | Sparse Representations: Theory and Applications | B. Wohlberg | Notes of the course held in 2013 at Politecnico di Milano. | No |
Correspondence of content
| Course | Corresponds course | Description |
| SGN-90206 International Doctoral Seminar in Signal Processing, 1-8 cr |
SGN-9906 Short International Course in Signal Processing, 1-5 cr + SGN-9916 Extensive International Course in Signal Processing, 6-10 cr |