Course Catalog 2013-2014
Basic

Basic Pori International Postgraduate Open University

|Degrees|     |Study blocks|     |Courses|    

Course Catalog 2013-2014

SGN-95006 Graduate Seminar on Signal Processing for Systems Biology, 2 cr
Graduate Seminar on Signal Processing for Systems Biology
SGN-95006 2013-01

Lessons

Study type P1 P2 P3 P4 Summer Lecture times and places
Lectures
 2 h/week

 

 

 

 
Wednesday 15 - 17, TB219
Wednesday 15 - 17, TC171


Description:

Signal Processing is becoming a key specialty in biology related efforts, both in research and in industry, particularly in the area of Systems Biology, whose studies usually involve the need to analyze large amounts of data, generally poised with noise sources. In this course, students will gain experience in the interpretation and analysis of recent, major scientific publications in the area of Systems Biology. Further, the students will gain experience in how to enquiry and discuss the results of a paper as if in the environment of a scientific meeting. Finally, the students will gain experience in how to present the results of a scientific work to the scientific community. This course will be taught using a hands-on approach. Each student will be given the opportunity to present the results of a scientific publication, which the student can choose from a pre-defined list of publications. The presentation will be in same form as in scientific meetings, lasting 30 mins + 15-30 mins for questions from the audience. Additionally, each student must attend to presentations from other students, a minimum of 5 presentations. When acting as a spectator, the student will be asked to fill a form in which he/she provides feedback about the presentation. Also, the student will be encouraged to enquiry the speaker regarding the scientific findings reported.

Person responsible:

Andre Sanches Ribeiro

Target groups:

Biotekniikka
DI- ja arkkitehtiopiskelijat
International Students
Jatkotutkinto-opiskelijat

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Additional information of course implementation:

http://www.cs.tut.fi/~sanchesr/SGN-95006/index.htm