Kaisa_2012_3_photo by Veikko Somerpuro

Enrol
6.12.2019 at 09:00 - 29.4.2020 at 23:59

Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Wed 15.1.2020
14:15 - 16:00
Wed 22.1.2020
14:15 - 16:00
Wed 29.1.2020
14:15 - 16:00
Wed 5.2.2020
14:15 - 16:00
Wed 12.2.2020
14:15 - 16:00
Wed 19.2.2020
14:15 - 16:00
Wed 26.2.2020
14:15 - 16:00
Wed 11.3.2020
14:15 - 16:00
Wed 18.3.2020
14:15 - 16:00
Wed 25.3.2020
14:15 - 16:00
Wed 1.4.2020
14:15 - 16:00
Wed 8.4.2020
14:15 - 16:00
Wed 22.4.2020
14:15 - 16:00
Wed 29.4.2020
14:15 - 16:00

Description

Master's Programme in Life Science Informatics is responsible for the course.

Module where the course belongs to:

  • Applied bioinformatics study track (Master's Programme in Life Science Informatics)

The course is available to students from other degree programmes.

Earlier (BSc level) courses in genetics, biology, computational science and/or bioinformatics.

Recommended:

  • Algorithm for Bioinformatics
  • Applied Bioinformatics
  • Biological Sequence Analysis.

Other courses that support the further development of the competence provided by this
course:

  • Algorithms in Molecular Biology
  • Machine Learning in Molecular Biology

Broad overview on how computational methods and modelling are used in the context of biology. A key goal is get an up to date overview of biological research that is being conducted at the University and to see how bioinformatics is used within these projects. Overview of current biological research trends and the contribution bioinformatics makes to actual research.

Recommended time/stage of studies for completion: First or Second year.

The course is offered in spring term period 3, every second year (even years).

Course has a small number of bespoke lectures given by bioinformatics experts and wet lab researchers with comments how bioinformatics is being used in their research. Furthermore, attending research seminars where biology relevant scientific language and tradition can be absorbed is an important component of the course. Each student will also complete an assigment by presenting as well as summaring in writing a suitable collection of recent scientific studies applying bioinformatics. This assignment can also include replicating some results from the chosen topic.

Review, perspective and introductory articles.

The following is the current plan for Spring 2018: teaching methods evolve from year to year.

Bespoke lectures from bioinformatics and wetlab researchers on the application of bioinformatics. Following biology campus seminars.

Completing an assigment which is done independently. The results of the assignment are prensented in a joint seminar.

The following is the current plan for Spring 2018: assessment practices evolve from year to year.

To pass the course attending the lectures and a (to be specified) number of other biology seminars as well as completing the assigment is mandatory.

Attending lectures, research seminars and completing an assignment.