Curricula 2011 – 2012
Keywords
Learning outcomes
After completing Stuctural Bioinformatics, the student has a solid background in structure-related bioinformatics. The theoretical background enables starting actual protein modeling. The student can describe limits of usability of protein models, both in the case of experiment-based and theoretical models, and can use molecular graphics software to prepare publication-quality images.
Contents
Revision of protein structures; Macromolecular structural research methods and structure data; Analysis of structures and evaluation of models; Classification and comparison of structures; Structural alignment; Molecular visualization; Molecular modeling and simulations.
Teaching methods
| Teaching method | Contact | Online |
| Independent work | 0 h | 80 h |
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 and Moodle postings.
Teaching language
EnglishModes of study
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
Assignments with deadlines, to be submitted in Moodle.
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
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in a discussion, provide suggestions for new topics or resources for the course pages, or report new links to replace outdated ones.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.
Evaluation and evaluation criteria
Numeric 1-5.Your learning will be evaluated based on your learning diary work and Moodle activity. Evaluation criteria include demonstrating the understanding of key concepts in your diary text, completing exercises successfully, reflection of your learning, sharing of your ideas and findings in the forums, and working in the given 12-week deadline.
Study materials
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.
Further information
Enrolment: http://bioinf.uta.fi/courses/
Belongs to following study modules
2013–2014