MSc ACS: Artificial Intelligence / Course details
Year of entry: 2022
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Course unit details:
Principles of Digital Biology
|Unit level||FHEQ level 7 – master's degree or fourth year of an integrated master's degree|
|Teaching period(s)||Semester 2|
|Offered by||Department of Computer Science|
|Available as a free choice unit?||Yes|
A knowledge of modern biology is not a course prerequisite.
A basic understanding of the computational needs of modern biology.
Develop an understanding of the problems inherent in communicating with scientists from a different discipline.
Develop the ability to reflect upon and synthesize a range of computational techniques to develop effective problem solving strategies in an unfamiliar problem domain.
Develop the ability to communicate these strategies to non-specialists.
- Intro to Biology
- Intro to Biology - the central dogma (2 hours)
- Intro to genomics (2 hours)
- Biology databases (2 hours)
- Data capture
- Capturing microarray data (1 hour)
- Proteomics seminar (1 hour)
- The gene ontology (1 hour)
- Resource meta-data (1 hour)
- Data delivery
- HCI and bioinformatics (2 hours)
- Dealing with heterogeneous, distributed data. (2 hours)
- Bioinformatics and the grid (2 hours)
- Data analysis
- Integrated approaches to post-genome data (2 hours)
Teaching and learning methods
1 day per week (5 weeks)
- Analytical skills
- Group/team working
- Project management
- Oral communication
- Problem solving
- Written communication
|Written assignment (inc essay)||100%|
COMP60532 reading list can be found on the Department of Computer Science website for current students.
|Scheduled activity hours|
|Independent study hours|
|Andrew Brass||Unit coordinator|
Course unit materials
Links to course unit teaching materials can be found on the School of Computer Science website for current students.
Links related to COMP60532