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Statistical Methods in Bioinformatics - STAT830

This unit introduces the statistical and probabilistic concepts that are the basis for the study of bioinformatics. Topics include an introduction to probability and conditional probability, probability distributions, sampling distributions and an introduction to Markov processes. Particular attention is paid to how they relate to specific applications in the field of bioinformatics. A basic understanding of calculus will be an advantage.

Credit Points: 4
When Offered:

S1 Day - Session 1, North Ryde, Day

Staff Contact(s): Dr Nino Kordzakhia
Prerequisites:

Admission to MBiotech or MSc or MDataSc or GradDipBioTech or MBiotechMCom or MBioBus or MLabQAMgt or PGCertLabQAMgt or GradDipLabQAMgt or GradCertLabQAMgt or MConsBiol or GradDipConsBiol or MMarScMgt Prerequisite Information

Corequisites:

NCCW(s):
Unit Designation(s):

Science

Assessed As: Graded
Offered By:

Department of Statistics

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
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