BMT-56008 Laboratory course in Computational Biology, 5 cr

Person responsible

Meenakshisundaram Kandhavelu

Lessons

Implementation Period Person responsible Requirements
BMT-56008 2019-01 1 Meenakshisundaram Kandhavelu
Aliyu Musa
To pass the course student needs to successfully complete 5 written reports (4 learning diaries and final project). The grade, from 0 to 5, will be the average of the grades of each project.

Learning Outcomes

After this course, the student will be able to: - implement computational methods to solve problems involving measurement data. - perform data acquisition from raw data. - independently search for information and available methods to solve practical problems. - present results, methods and conclusions in written and oral reports.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Lecture 1     
2. Exercise 1     
3. Lecture 2     
4. Exercise 2     
5. Lecture 3     
6. Exercise 3     
7. Lecture 4     
8. Exercise 4     
9. Project work  Details of the project will be announced later.   

Instructions for students on how to achieve the learning outcomes

Active participation is required to pass the course (80%) and final project work will define the grade.

Assessment scale:

Numerical evaluation scale (0-5)

Partial passing:

Completion parts must belong to the same implementation

Additional information about prerequisites
Basic knowledge of biology/systems biology and processing of biological signals are recommended. Skills to use Matlab are required to complete some project works.



Correspondence of content

Course Corresponds course  Description 
BMT-56008 Laboratory course in Computational Biology, 5 cr BMT-56007 Laboratory course in Computational Biology, 3 cr  

Updated by: Kunnari Jaana, 05.03.2019