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Computational Genomics (COMP90016) // Further information
Further information
- Texts
Prescribed texts
None
- Subject notes
LEARNING AND TEACHING METHODS
The subject will be delivered through a combination of lectures, group discussion, and supervised laboratory. The assigned project work is also a key feature in the learning process.
INDICATIVE KEY LEARNING RESOURCES
Students will have access to lecture notes and audio recording of the lectures. Papers drawn from the current literature are posted on the LMS for each topic.
CAREERS / INDUSTRY LINKS
The subject provides an overview of computational genomics, and as such is a foundation for applied and research careers in bioinformatics. Guest lectures are given by practitioners in the field.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Data Science Course Master of Science (Computer Science) Course Doctor of Philosophy - Engineering Course Master of Philosophy - Engineering Course Master of Science (Bioinformatics) Course Ph.D.- Engineering Informal specialisation Computer Science Specialisation (formal) Biomedical with Business Specialisation (formal) Biomedical Informal specialisation Master of Engineering (Biomedical) Informal specialisation Master of Engineering (Software) Specialisation (formal) Software Informal specialisation Master of Engineering (Biomedical with Business) Major Computer Science - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
Last updated: 3 November 2022