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 |