BIOINFORMATICS TECHNOLOGIES
CSE5BIO
2017
Credit points: 15
Subject outline
This subject introduces Bioinformatics Technologies; it involves complex biological analysis, the application of information technology principles, and the integration of diverse biological content through different information technologies. On completing this subject student will be able to understand bioinformatics technologies such as microarrays, statistical methods and data mining; understand how bioinformatics technologies can be applied to RNA and protein structure and folding problems, molecular interactions, genetics and metabolic pathways.
School: School Engineering&Mathematical Sciences
Credit points: 15
Subject Co-ordinator: Phoebe Chen
Available to Study Abroad Students: Yes
Subject year level: Year Level 5 - Masters
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: N/A
Co-requisites: N/A
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Graduate capabilities & intended learning outcomes
01. Analyse data using a fundamental set of bioinformatic technology approaches.
- Activities:
- Lectures, Tutorials, Assignments 1 & 2.
- Related graduate capabilities and elements:
- Writing(Writing)
- Discipline-specific GCs(Discipline-specific GCs)
- Critical Thinking(Critical Thinking)
- Creative Problem-solving(Creative Problem-solving)
- Quantitative Literacy/ Numeracy(Quantitative Literacy/ Numeracy)
02. Assess relevant bioinformatic technologies wich are applied to specific tasks.
- Activities:
- Lectures, Tutorials, Assignment 1 and 2, practical evaluation and exam.
- Related graduate capabilities and elements:
- Speaking(Speaking)
- Critical Thinking(Critical Thinking)
- Writing(Writing)
03. Explain and Interpret the results generated by bioinformatic technologies to a high standard.
- Activities:
- Lectures, Tutorials, Assignment 1 and 2, practical evaluation and exam.
- Related graduate capabilities and elements:
- Inquiry/ Research(Inquiry/ Research)
- Critical Thinking(Critical Thinking)
- Creative Problem-solving(Creative Problem-solving)
04. Communicate the results of data analysis effectively in the Bioinformatics Technologies topic.
- Activities:
- Lectures, Tutorials, Assignment 1 and 2, practical evaluation and exam.
- Related graduate capabilities and elements:
- Creative Problem-solving(Creative Problem-solving)
- Quantitative Literacy/ Numeracy(Quantitative Literacy/ Numeracy)
- Speaking(Speaking)
- Critical Thinking(Critical Thinking)
- Writing(Writing)
Melbourne, 2017, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Phoebe Chen
Class requirements
Laboratory ClassWeek: 11 - 22
One 2.0 hours laboratory class per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| one 3-hour examination | Hurdle requirement: To pass the subject, a pass in the examination is mandatory. | 50 | 02, 03, 04 |
| Tutorial participation and contribution to tutorial tasks equivalent to 100 words per tutorial | 10 | 02 | |
| two assignments equivalent to 1200 words each | 40 | 01, 02, 03, 04 |