Course Catalog 2007-2008

SGN-6206 GENOMIC SIGNAL PROCESSING, 5 cr
Genomic Signal Processing

Courses persons responsible
Ioan Tabus

Lecturers
Ioan Tabus

Lecturetimes and places
Per III: Wednesday 10 - 12, TB215
Per III: Thursday 14 - 16, TC131

Objectives
The student will learn several classes of problems arising in genomics and related bioinformatic fields, where signal processing algorithms have been show to play an important role.

Requirements for completing the course
Assignment and final examination.

Evaluation criteria for the course

  • Course is graded on the basis of answers to exam questions. Very good grade is obtained when exam questions are correctly answered and homework is accepted. Course acceptance threshold is approx. half of the maximum exam points.

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Auhor ISBN URL Edition, availability... Exam material Language
    Book "Genomic Signal Processing and Statistics" Edited by: EDWARD R. DOUGHERTY, ILYA SHMULEVICH, JIE CHEN, and Z. JANE WANG     http://spc.hindawi.com/gsps.html No  English 
    Book "Biological sequence analysis � Probabilistic models of proteins and nucleic acids" R. Durbin, S. Eddy, A.Krogh, G. Mitchison     Cambridge University Press, 2001 No  English 
    Lecture slides "Genomic Signal Processing" Ioan Tabus       Yes  English 

    Prerequisites
    Code Course Credits M/R
    SGN-1200 SGN-1200 Signal Processing Methods 4 Recommendable

    Prequisite relations (Sign up to TUT Intranet required)

    Remarks

  • The course is suitable for postgraduate studies.

  • Course will not be lectured in the academic year 2007-2008.

    • Distance learning

  • ITC utilized during the course

    • - In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
    - In distributing and/or returning exercise work, material etc

  • Description of the course implementation from ICT point of view

    • amount of mandatory hours of required presence at the lectures, exercises and laboratory works.

    Scaling
    Methods of instructionHours
    Lectures 60
    Exercises 24
    Assignments 20

    Study materials
    Scaling of methods of instruction icludes the use of following study material:
    literature

    Other scaledHours
    Preparation for exam 24
    Exam/midterm exam 3
    Total sum 131

    Course homepage

    Last modified 30.01.2007
    Modified bySari Peltonen