Course Catalog 2007-2008

SGN-6156 COMPUTATIONAL SYSTEMS BIOLOGY II, 5 cr
Computational Systems Biology II

Courses persons responsible
Harri Lähdesmäki

Lecturers
Harri Lähdesmäki

Lecturetimes and places
Per V: Tuesday 14 - 16, TB222
Per V: Wednesday 10 - 12, TB216

Implementations
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer
Lecture - - - - 4 h/week -
Exercise - - - - 2 h/week -
Exam  
(Timetable for academic year 2007-2008)

Objectives
Student is able to use computational and mathematical methods for data analysis and experiment design in systems biology.

Content
Content Core content Complementary knowledge Specialist knowledge
1. Statistical methods for gene expression data analysis.       
2. Design and analysis of microarray experiments.       
3. Data classification and clustering       

Requirements for completing the course
Participation in the exercises and final examination.

Evaluation criteria for the course

  • Exam and exercise work.

  • Used assessment scale is numeric (1-5)

    • Prerequisites
    Code Course Credits M/R
    SGN-6106 SGN-6106 Computational Systems Biology I 5 Mandatory

    Prequisite relations (Sign up to TUT Intranet required)

    Remarks

    Study materials will be announced later.

  • The course is suitable for postgraduate studies.

    • Distance learning

  • Estimate as a percentage of the implementation of the course

    • - Contact teaching: 35 %
    - Distance learning: 0 %
    - Proportion of a student's independent study: 65 %

    Scaling
    Methods of instructionHours
    Lectures 72
    Exercises 36

    Other scaledHours
    Preparation for exam 20
    Exam/midterm exam 3
    Total sum 131

    Course homepage

    Last modified 07.09.2007
    Modified byHarri Lähdesmäki