Avainsanat
Osaamistavoitteet
Getting a solid background in structure-related bioinformatics, including a theoretical background to start protein modeling. Understanding limits of protein models.
Sisältö
Revision of protein structures; Macromolecular structural research methods and structure data; Analysis of structures; Classification of structures; Structural alignment; Molecular visualization; Homology-based modeling.
Toteutustavat
| Opetustapa | Paikalla | Verkossa |
| Itsenäinen työskentely | 0 t | 80 t |
Independent work (at least 80 h) on the internet course, guided by on-line tutoring. Work and learning must be documented in the on-line learning diary.
Opetuskieli
englantiVaadittavat opintosuoritukset
- Tutkinto-ohjelman omat opiskelijat
- Muut opiskelijat
- Avoimen yliopisto-opetuksen opiskelijat
- Tohtoriopiskelijat
- Vaihto-opiskelijat
Assignments with deadlines, to be submitted in Moodle.
- Tutkinto-ohjelman omat opiskelijat
- Muut opiskelijat
- Avoimen yliopisto-opetuksen opiskelijat
- Tohtoriopiskelijat
- Vaihto-opiskelijat
Your Moodle activity counts towards 20% of the total score. For "points" of Moodle activity, you can either start relevant discussions in the Moodle forums (for example, by sharing reports of analyses or mini projects you have completed), contribute meaningful comments/answers in a discussion, provide suggestions for new topics or resources for the course pages, or report new links to replace outdated ones.
Material presented inside the course web pages
Your learning diary is counted towards 80% of the total score. The diary will contain a mix of summaries, essays, discussion, and exercises/mini projects. For the highest grades, your diary should contain an element of reflectiveness (description of your learning process, what you consider to be the important things learned in each study session, questions you put to yourself); tackling many practical problems; and finding additional sources to support your learning.
Arviointi
Numerolla 1-5.Kirjallisuus/Oppimateriaali
Course material on the internet; selected scientific journal articles. Suggested reading: Structural Bioinformatics, (2002) ISBN 0-471-20199-5, Philip E. Bourne, Helge Weissig (eds.), Wiley & Sons.
Lisätietoja
Enrolment: http://bioinf.uta.fi/courses/