BIOINFORMATICS

BIO5INF

2017

Credit points: 15

Subject outline

In this unit students will be introduced to the ever expanding field of bioinformatics. Students will learn how to locate, use and apply commonly available bioinformatic software programs to address biological problems. Students will also be introduced to molecular modeling software used to solve biological problems. This unit requires no prior experience in bioinformatics

SchoolSchool of Molecular Sciences/LIMS

Credit points15

Subject Co-ordinatorSuresh Mathivanan

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites Must be enrolled in one of the following courses: SMBB, SMBT, SMBM, SGBB, SMNT, SZHSN, SZHSMN, SZHSNT or SMDS. All other students require coordinator approval.

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsUnderstanding BioinformaticsRecommendedZvelebil, M and Baum, J.O.GARLAND SCIENCE

Graduate capabilities & intended learning outcomes

01. Use advanced bioinformatics techniques, including database searching, alignments, pattern analysis and predictive study to solve scientific problems. Acquire the ability to assess whether the application of advanced tools and scientific approaches are appropriate for a particular scientific problem in the field of Bioinformatics.

Activities:
Weekly workshop (2 hours) Weekly lecture Case studies Worksheets

02. Navigate and be familiar with various free web-based bioinformatics programs. Critically analyse and solve scientific problems in the field of Bioinformatics.

Activities:
Weekly workshop (2 hours) Weekly lecture Case studies Worksheets

03. Understand critical issues and limitations in the current bioinformatics field and tools. Apply precise terminology and concepts to describe bioinformatics.

Activities:
Weekly workshop (2 hours) Weekly lecture Case studies Worksheets

04. Apply biostatistics to solve bioinformatic problems.

Activities:
2 (1 hour) lecture on biostatistics

Subject options

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Start date between: and    Key dates

Melbourne, 2017, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorSuresh Mathivanan

Class requirements

Lecture Week: 32 - 42
One 1.0 hours lecture per week on weekdays during the day from week 32 to week 42 and delivered via face-to-face.

WorkShop Week: 32 - 42
One 2.0 hours workshop per week on weekdays during the day from week 32 to week 42 and delivered via online.

Assessments

Assessment elementComments% ILO*
In class worksheets/ online quizzes20 01, 02, 03, 04
One 2-hour exam30 01, 02, 03, 04
Biostatistics quiz10 04
Practical reports equivalent to 1,500 words30 01, 02, 03, 04
One 500 word assignment10 01, 02, 03, 04