CSC8305 : Computational Analysis of Complex Biological Systems
- Offered for Year: 2019/20
- Module Leader(s): Dr Harold Fellermann
- Owning School: Computing
- Teaching Location: Newcastle City Campus
|Semester 2 Credit Value:||10|
Biological systems are extremely complex and dealing with this complexity is critical in modern bioinformatics. Postgenomic bioinformatics and systems biology seek to study organisms at a holistic level often by constructing and studying models of biological interactions, such as those found protein and gene networks. This module introduces you to the basic approaches for building and analysing biological networks using an approach based on graph theory approach and then discusses methods for analysing the dynamics of such systems.
Outline Of Syllabus
Understanding how to analyse complex biological systems in computational and mathematical terms.
Understanding of fundamental ideas from graph theory, formal languages, symbolic dynamics, complexity theory, statistics and probability theory in the context of computational analysis and modelling of complex biological systems.
Appropriate application of theoretical concept to analyse and model existing biological systems (e.g., protein interaction systems).
|Guided Independent Study||Assessment preparation and completion||10||1:00||10:00||Lecture follow-up|
|Scheduled Learning And Teaching Activities||Lecture||10||1:00||10:00||Lectures|
|Scheduled Learning And Teaching Activities||Practical||10||1:00||10:00||Practicals|
|Scheduled Learning And Teaching Activities||Small group teaching||10||1:00||10:00||Tutorials|
|Guided Independent Study||Project work||10||1:00||10:00||Coursework|
|Guided Independent Study||Independent study||50||1:00||50:00||Background reading|
Teaching Rationale And Relationship
Lectures will be used to introduce the learning material and for demonstrating the key concepts by example. Students are expected to follow-up lectures within a few days by re-reading and annotating lecture notes to aid deep learning.
This is a very practical subject, and it is important that the learning materials are supported by hands-on opportunities provided by practical classes. Students are expected to spend time on coursework outside timetabled practical classes.
Students aiming for 1st class marks are expected to widen their knowledge beyond the content of lecture notes through background reading.
The format of resits will be determined by the Board of Examiners
|Practical/lab report||2||M||100||2 exercies of equal weight. Max 2,000 words each.|
Assessment Rationale And Relationship
The practical will provide an evaluation of the understanding of key concepts and the application of key ideas about computational analysis of complex biological systems, and evaluate their ability to apply concepts learnt in the lectures.