BioMediTech
Learning outcomes
After the course, the student can:
- write non-trivial programs in the Python programming language.
- select and adapt a suitable data structure for efficient use in a particular problem.
- explain how common algorithms are used in bioinformatics work.
- adapt and implement simple bioinformatics algorithms in selected cases.
General description
The course BIO4420 is NOT organised in Spring 2017. See below for more infomation on a substituting course.
Teachers
Teaching
Evaluation
Evaluation criteria
Exam and exercises.
Further information
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).