bio5inf bioinformatics
BIOINFORMATICS
BIO5INF
2020
Credit points: 15
Subject outline
In this subject students will be introduced to the ever expanding field of bioinformatics. Students will learn how to locate, use and apply commonly available bioinformatics software programs to address biological problems. Students will also be introduced to molecular modelling software used to solve biological problems. This unit requires no prior experience in bioinformatics
SchoolMolecular Sciences
Credit points15
Subject Co-ordinatorSuresh Mathivanan
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
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
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Understanding Bioinformatics
Resource TypeBook
Resource RequirementRecommended
AuthorZvelebil, M and Baum, J.O.
YearN/A
Edition/VolumeN/A
PublisherGARLAND SCIENCE
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
Select to view your study options…
Melbourne (Bundoora), 2020, LTU Term 4, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorSuresh Mathivanan
Class requirements
LectureWeek: 30 - 35
Two 1.00 hour lecture per week on any day including weekend during the day from week 30 to week 35 and delivered via online.
Pre-recorded
WorkShopWeek: 30 - 35
Two 2.00 hours workshop per week on weekdays during the day from week 30 to week 35 and delivered via video conference.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
In class worksheets/online quizzes (equivalent to 1000 words) Navigate and be familiar with various free web-based bioinformatics programs. Critically analyse and solve scientific problems in the field of Bioinformatics. | N/A | N/A | No | 20 | SILO1, SILO2, SILO3, SILO4 |
One 2-hour exam The use of precise tools for solving the problem. The limitations of the approach will be discussed. | N/A | N/A | No | 30 | SILO1, SILO2, SILO3, SILO4 |
Biostatistics quiz (equivalent to 500 words) Use of Excel sheets to tackle problems pertaining to statistics. | N/A | N/A | No | 10 | SILO4 |
Practical reports equivalent to 1,500 words Case study of a gene/protein and the various characterization methods will be discussed. | N/A | N/A | No | 30 | SILO1, SILO2, SILO3, SILO4 |
One 500 word assignment Advanced OMICs technologies will be used to analyse complex datasets. | N/A | N/A | No | 10 | SILO1, SILO2, SILO3, SILO4 |
Melbourne (Bundoora), 2020, LTU Term 6, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorSuresh Mathivanan
Class requirements
LectureWeek: 45 - 50
Two 1.00 hour lecture per week on any day including weekend during the day from week 45 to week 50 and delivered via online.
Pre-recorded
WorkShopWeek: 45 - 50
Two 2.00 hours workshop per week on weekdays during the day from week 45 to week 50 and delivered via video conference.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
In class worksheets/online quizzes (equivalent to 1000 words) Navigate and be familiar with various free web-based bioinformatics programs. Critically analyse and solve scientific problems in the field of Bioinformatics. | N/A | N/A | No | 20 | SILO1, SILO2, SILO3, SILO4 |
One 2-hour exam The use of precise tools for solving the problem. The limitations of the approach will be discussed. | N/A | N/A | No | 30 | SILO1, SILO2, SILO3, SILO4 |
Biostatistics quiz (equivalent to 500 words) Use of Excel sheets to tackle problems pertaining to statistics. | N/A | N/A | No | 10 | SILO4 |
Practical reports equivalent to 1,500 words Case study of a gene/protein and the various characterization methods will be discussed. | N/A | N/A | No | 30 | SILO1, SILO2, SILO3, SILO4 |
One 500 word assignment Advanced OMICs technologies will be used to analyse complex datasets. | N/A | N/A | No | 10 | SILO1, SILO2, SILO3, SILO4 |