Computational Biology

Course aim

This course introduces the student to the foundations of computational biology and bioinformatics. It aims to familiarise students with the computational methods and tools used in current biotechnical practice and at the research frontier.

Course content

Molecular biology fundamentals: central dogma; experimental techniques, gene regulation. Experimental techniques include: standard approaches in bioinformatics (algorithms and statistical techniques for sequences analysis and elements of phylogenetics); standard approaches in computation biology (describing biological networks (network topology, clustering methods, network evolution) and mathematical modelling and computational design of metabolic networks); databases and (modelling) tools.

Textbook(s)

Nil

Prerequisite(s)

COMP 1039 Problem Solving and Programming, (or equivalent) MATH 1036 Statistical Methods (or equivalent)

Corequisite(s)

Nil

Teaching method

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Examination, Project

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.

* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.