SGN-95006 Graduate Seminar on Signal Processing for Systems Biology, 2-6 cr
Additional information
Suitable for postgraduate studies
Person responsible
Olli Yli-Harja
Lessons
Implementation 1: SGN-95006 2015-01
| Study type | P1 | P2 | P3 | P4 | Summer |
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Requirements
Presentation and participation required to obtain 3 credits.
Completion parts must belong to the same implementation
Learning Outcomes
From this course, the student will be able to list and summarize state-of-the-art topics on the methodology of systems biology in the context of health-related big data. After the course, the student will be able to: 1) Identify and define techniques used in systems biology. 2) Interpret the results of high level journal publications in Systems Biology, classify strengths and weaknesses of the results, and summarize conclusions. 3) Apply the knowledge on their works. 4) Compare different methodologies for verifying hypothesis. 5) Interpret conclusions of journal articles. 6) Be able to present to a scientific audience the results of a scientific study. Use what was learned from this course in developing their presentations.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Signal and image analysis | ||
| 2. | Systems Biology | ||
| 3. | Health-related data science | ||
| 4. | Computational Biology |
Instructions for students on how to achieve the learning outcomes
Grading is (accepted/not accepted) Presentation and full participation is required to obtain 3 credits.
Assessment scale:
Evaluation scale passed/failed will be used on the course
Partial passing:
Additional information about prerequisites
Basic knowledge of biology/systems biology.
SGN-50006 Introduction to Information Technology for Health and Biology.
Correspondence of content
There is no equivalence with any other courses