Recommended during the second year of study in the bioinformatics programme. Prerequisites: BIO2200 Introduction to computational biology, BIO4440 Basic biological data analysis with R & BIO4450 High-throughput data analysis or equivalent prior knowledge in the field.

Individual bioinformatics project as agreed with the teacher in charge.

Course programme and more information:

https://learning2.uta.fi/course/view.php?id=9176

Recommended during the second year of study in the bioinformatics programme. BIO4450 or equivalent knowledge is required as a prerequisite.

Note! During 2016-2017 the Journal Club will meet irregularly,
see the course Moodle for specific meeting times.

For more information on this course, see the TUT course description from 2015 (the new description for 2016 will be updated as soon as possible):

SGN-53007: http://www.tut.fi/wwwoppaat/opas2015-2016/perus/laitokset/Signaalinkasittely/SGN-53007.html

For more information on this course, see the TUT course description from 2015 (the new description for 2016 will be updated as soon as possible):

SGN-52406: http://www.tut.fi/wwwoppaat/opas2015-2016/perus/laitokset/Signaalinkasittely/SGN-52406.html

The seminar will be organized bi-weekly throughout the academic year. Attendance in eight seminar sessions, two presentations and active participation in the discussion are required to pass the course. It is recommended to start attending the seminars already before you start your own Master's thesis project.

This seminar is organized jointly with BTK4030. More information can be found at Moodle under BTK4030 Tutkielmaseminaari 2016-2017, access code: BMT pro gradu

Recommended time of study in the first year of the programme.

Recommended for first year bioinformatics students.

Individual bioinformatics project as agreed with the teacher in charge.

Web-based course, no contact teaching. BIO2200 or equivalent knowledge is recommended as a prerequisite. Open for exchange students with suitable background. An identical course is organizaed in period IV.

Course programme and more information:

https://learning2.uta.fi/course/view.php?id=9176

Recommended during the second year of study in the bioinformatics programme. BIO4450 or equivalent knowledge is required as a prerequisite.

Note! During 2016-2017 the Journal Club will meet irregularly,
see the course Moodle for specific meeting times.

For more information on this course, see the TUT course description from 2015 (the new description for 2016 will be updated as soon as possible):

SGN-53206: http://www.tut.fi/wwwoppaat/opas2015-2016/perus/laitokset/Signaalinkasittely/SGN-53206.html

The seminar will be organized bi-weekly throughout the academic year. Attendance in eight seminar sessions, two presentations and active participation in the discussion are required to pass the course. It is recommended to start attending the seminars already before you start your own Master's thesis project.

This seminar is organized jointly with BTK4030. More information can be found at Moodle under BTK4030 Tutkielmaseminaari 2016-2017, access code: BMT pro gradu

Recommended time of study in the first year of the programme.

Recommended for first year bioinformatics students.

Recommended during the first year of study in the bioinformatics Master's degree programme. BIO2200 and BIO2310 or equivalent knowledge required as a prerequisite.

Individual bioinformatics project as agreed with the teacher in charge.

The course is suitable for biotechnology students without prior programming experience. BIO2200 and BIO2085 or equivalent knowledge is recommended as a prerequisite.

Web-based course.

Note! During 2016-2017 the Journal Club will meet irregularly,
see the course Moodle for specific meeting times.

For more information on this course, see the TUT course description from 2015 (the new description for 2016 will be updated as soon as possible):

SGN-52606: http://www.tut.fi/wwwoppaat/opas2015-2016/perus/laitokset/Signaalinkasittely/SGN-52606.html

The seminar will be organized bi-weekly throughout the academic year. Attendance in eight seminar sessions, two presentations and active participation in the discussion are required to pass the course. It is recommended to start attending the seminars already before you start your own Master's thesis project.

This seminar is organized jointly with BTK4030. More information can be found at Moodle under BTK4030 Tutkielmaseminaari 2016-2017, access code: BMT pro gradu

BIO2200, BIO2310 and BIO4440 or equivalent knowledge required as a prerequisite.

Individual bioinformatics project as agreed with the teacher in charge.

The course BIO4420 is NOT organised in Spring 2017. See below for more infomation on a substituting course.

The course BIO4420 will NOT be organized this spring.

Instead, we are strongly recommending all BINF students to take the machine learning course SGN-41007 at TUT in Hervanta (and partly at UTA main campus). This course will automatically replace BIO4420 in the curriculum and your study plan. See the web page at http://www.cs.tut.fi/kurssit/SGN-41007/ for more information. Notice the course start 10.1.2017. Please contact the organiser a.s.a.p. if you still want to join.

If we have agreed on a different plan for your personal study plan (PSP) or you have other questions, feel free to contact me by e-mail (juha.kesseli@uta.fi).

Web-based course, no contact teaching. BIO2200 or equivalent knowledge is recommended as a prerequisite. Open for exchange students with suitable background. An identical course is organized in period II.

The course is suitable for biotechnology students without prior programming experience. BIO2200 and BIO2085 or equivalent knowledge is recommended as a prerequisite.

Web-based course.

Note! During 2016-2017 the Journal Club will meet irregularly,
see the course Moodle for specific meeting times.

The seminar will be organized bi-weekly throughout the academic year. Attendance in eight seminar sessions, two presentations and active participation in the discussion are required to pass the course. It is recommended to start attending the seminars already before you start your own Master's thesis project.

This seminar is organized jointly with BTK4030. More information can be found at Moodle under BTK4030 Tutkielmaseminaari 2016-2017, access code: BMT pro gradu

Students will perform typical genetics analysis tasks using commonly used computer programs. The module contains lectures that deepen the knowledge on genetics and introduce the analysis methods used.

Recommended to be completed in parallel with BTK1061 lectures.