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Course Catalog 2014-2015
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
Jaakko Astola, Andre Sanches Ribeiro, Olli Yli-Harja
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
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.
Completion parts must belong to the same implementation
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:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
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Contact teaching: 40 % Distance learning: 60 % Self-directed learning: 0 % |