SGN-90206 International Doctoral Seminar in Signal Processing, 1-8 cr

Lisätiedot

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.

Vastuuhenkilö

Andre Sanches Ribeiro, Frank Emmert-Streib, Olli Yli-Harja

Opetus

Toteutuskerta Periodi Vastuuhenkilö Suoritusvaatimukset
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).

Osaamistavoitteet

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.

Sisältö

Sisältö Ydinsisältö Täydentävä tietämys Erityistietämys
1. Signal Processing     
2. Computational Systems Biology     

Ohjeita opiskelijalle osaamisen tasojen saavuttamiseksi

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.

Arvosteluasteikko:

Evaluation scale passed/failed will be used on the course

Osasuoritukset:

Completion parts must belong to the same implementation

Oppimateriaali

Tyyppi Nimi Tekijä ISBN URL Lisätiedot Tenttimateriaali
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   



Vastaavuudet

Opintojakso Vastaa opintojaksoa  Selite 
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
 

Päivittäjä: Orava Elina, 28.11.2016