Postgraduate Course: Computational Systems Biology (INFR11039)
Course Outline
| School |
School of Informatics |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Informatics |
Other subject area |
None |
| Course website |
http://www.inf.ed.ac.uk/teaching/courses/csb |
|
|
| Course description |
Systems Biology is the application of computational modelling and simulation to complex systems in biology. Examples include biochemical pathways, metabolic processes, protein complexes and information processing, genetic networks, self-organising systems, neuronal networks and cell-cell communication. This course will focus on the level of molecular and genetic systems and simulations. |
Entry Requirements
| Pre-requisites |
Students MUST have passed:
Bioinformatics 1 (INFR11016)
|
Co-requisites |
It is RECOMMENDED that students also take
Bioinformatics 2 (INFU11058) OR
Models and Languages for Computational Systems Biology (INFR11047)
|
| Prohibited Combinations |
|
Other requirements |
For Informatics PG and final year MInf students only, or by special permission of the School.
Bioinformatics 1 (or strong biological background).
Students are expected to have: - basic biological knowledge (BIO1 course) - basic mathematical knowledge of differential equations and linear algebra - basic programming skills, in any language.
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | 16:10 - 17:00 | | | | | Central | Lecture | | 1-11 | | | | | 16:10 - 17:00 |
| First Class |
Week 1, Tuesday, 16:10 - 17:00, Zone: Central. Room 1.4, 22 Buccleuch Place |
Summary of Intended Learning Outcomes
1 - Discuss the potential benefits and predictive value of systems biology approaches.
2 - Implement a molecular genetic model in an appropriate modelling framework.
3 - Compare and contrast existing models at the biochemical, genetic, proteomic and metabolic levels
4 - Discus the methods used to establish parameters in models and how to test and refine them.
5 - Discuss the mathematical basis for biomolecular simulations.
6 - Describe the limitations of modelling strategies. |
Assessment Information
Written Examination 70
Assessed Assignments 30
Oral Presentations 0
Assessment
A single piece of coursework that may involve implementation of a simulation or the modification and assessment of an existing model.
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Michael Rovatsos
Tel: (0131 6)51 3263
Email: mrovatso@inf.ed.ac.uk |
Course secretary |
Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:11 am
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