SGN-56007 Laboratory Course in Computational Biology, 3 cr

Implementation SGN-56007 2016-01

Description

In this course, the student will learn 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. For important information, please visit the course Moodle page.

Lessons

Period 1
Methods of instruction Luento
Person responsible Meenakshisundaram Kandhavelu

Assessment scale

Numerical evaluation scale (0-5)

Requirements

To pass the course student needs to successfully complete 4 written reports (3 learning diaries and final project). The grade, from 0 to 5, will be the average of the grades of each project.

SGN-56007 Laboratory course in Computational Biology/Lec/01 Tue 30.08.2016 12:00 - 14:00
SGN-56007 Laboratory course in Computational Biology/Lec/01 Tue 13.09.2016 12:00 - 14:00
SGN-56007 Laboratory course in Computational Biology/Lec/01 Tue 27.09.2016 12:00 - 14:00
SGN-56007 Laboratory course in Computational Biology/Lec/01 Tue 11.10.2016 12:00 - 14:00

Study material

Type Name Author ISBN Additional information Language Examination material
Other online content Detailed description of each project and the necessary tasks to be performed. English No