Undergraduate Course: Computational Biology and Systems Biology 3 (IBMS09009)
Course Outline
| School | Deanery of Biomedical Sciences |
College | College of Medicine and Veterinary Medicine |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | Computational models of biological systems are used both in basic research and in applied medical and pharmaceutical settings. This course introduces the principles of computational biology and systems biology, and equips students with the skills needed to build, validate, and use models of biological systems, following standards for model quality and reproducibility.
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| Course description |
Computational models of biological systems are used both in basic research and in applied medical and pharmaceutical settings. This course introduces the principles of computational biology and systems biology, and equips students with the skills needed to build, validate, and use models of biological systems, following standards for model quality and reproducibility.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | Course delivered in China. Only available to students enrolled on BSc Hons Biomedical Informatics.
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Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Describe the key principles of computational modelling in life sciences.
- Develop and implement appropriate models for specific biological systems, and be aware of their capabilities and limitations.
- Adhere to common standards of model description, sharing and storage in databases.
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Additional Information
| Graduate Attributes and Skills |
This course develops the following graduate skills and attributes:
General professional skills: Time management, project management, independence, curiosity, selfmotivation, ability to complete projects, critical thinking, dedication, analytical reasoning, scientific creativity.
Computational and Bioinformatics Skills: Ability to use scientific and statistical analysis software packages, ability to use standard languages and protocols, retrieving and manipulating data from public repositories; expertise in common bioinformatics software packages, tools, and algorithms.
Biology: Molecular biology, cell biology, biochemistry, systems biology, cancer, infection, neuroscience.
Statistics and Mathematics: Probability theory, differential equations and parameter estimation, graph theory. |
| Keywords | computational modelling,systems biology,synthetic biology |
Contacts
| Course organiser | Dr Gediminas Luksys
Tel: (0131 6)50 3525
Email: Gedi.Luksys@ed.ac.uk |
Course secretary | Miss Natasha Goldie
Tel:
Email: natasha.goldie@ed.ac.uk |
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