Advanced Computer Science: Artificial Intelligence [MSc]

Principles of Digital Biology


Unit code: COMP60532
Credit Rating: 15
Unit level: Level 6
Teaching period(s): Semester 2
Offered by School of Computer Science
Available as a free choice unit?: Y

Requisites

None

Additional Requirements

Pre-requisites

A knowledge of modern biology is not a course prerequisite.

Overview

Biology 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

Lectures

1 day per week (5 weeks)

Learning outcomes

Learning outcomes are detailed on the COMP60532 course unit syllabus page on the School of Computer Science's website for current students.

Employability skills

  • Analytical skills
  • Group/team working
  • Innovation/creativity
  • Leadership
  • Project management
  • Oral communication
  • Problem solving
  • Research
  • Written communication

Assessment methods

  • Written assignment (inc essay) - 100%

Syllabus

  • 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)

Recommended reading

COMP60532 reading list can be found on the School of Computer Science website for current students.

Feedback methods

Students 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.

Study hours

  • Lectures - 35 hours
  • Independent study hours - 115 hours

Teaching staff

Andrew Brass - Unit coordinator

▲ Up to the top