Page 92 - Handbook PG 20182019

Faculty of Science Postgraduate Booklet, Session 2018/2019

SQF7006 Statistics in Bioinformatics

This course focuses on the application of statistics to study large biological data sets, such as those in
genetics and molecular bioinformatics studies. Provides an introduction to stochastic process theory
probability theory and HMMS for bioinformatics data analysis.

Assessment Methods:
Continuous Assessment: 100%

Medium of Instruction:
English

Transferable Skills:
Statistical analysis using bioinformatics data

Humanity Skill:
-

References:
nd
1. Ewens WJ and Grant GR (2011). Statistical Methods in Bioinformatics: An Introduction (2
ed.). Springer.
2. Hogg RV and Craig AT (2005). Introduction to Mathematical Statistics (6 ed.), New Jersey:
th
Pearson Prentice Hall.
3. Stephens DA (2005). MSc Bioinformatics Mathematics, Probability and Statistics (Lecture
notes), Imperial College London.

SQF7007 Application of Programming in Bioinformatics

This course aims to apply any appropriate programming techniques in the development of
bioinformatics software.

It covers the essential concepts in software development specifically for Bioinformatics software. It
is include the approaches and issues related to laboratory information data / data management,
database system design, implementation and integration. Several programming libraries / packages
/ APIs that are specially designed for Bioinformatics will be introduced.

Assessment Methods:
Continuous Assessment: 100%

Medium of Instruction:
English

Transferable Skills:
-

Humanity Skill:
-

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