Advanced Computer Science: Artificial Intelligence [MSc]
Principles of Digital Biology
|Unit level:||Level 6|
|Teaching period(s):||Semester 2|
|Offered by||School of Computer Science|
|Available as a free choice unit?:||Y
A knowledge of modern biology is not a course prerequisite.
OverviewBiology is currently undergoing a revolution. The success of the human genome project and other high-throughput technologies is creating a flood of new data. Capturing, interpreting and analysing this data provides real and significant challenges for computer scientists. This course will use biology as an exciting application domain for a wide range of CS techniques that have been developed on the course.
Teaching and learning methods
1 day per week (5 weeks)
Learning outcomes are detailed on the COMP60532 course unit syllabus page on the School of Computer Science's website for current students.
- Analytical skills
- Group/team working
- Project management
- Oral communication
- Problem solving
- Written communication
- Written assignment (inc essay) - 100%
- 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)
COMP60532 reading list can be found on the School of Computer Science website for current students.
Feedback methodsStudents work on a group based project exploring the application of computer science to an industrially focussed digital biology problem. Every day each group reports back to the class on the work they have completed. Tutors provide detailed formative feedback after each of these presentations. The final assessment is an individual report based on the group work. Detailed individual feedback will be provided on short report plans before the final report is completed.
- Lectures - 35 hours
- Independent study hours - 115 hours