Bioinformatics (11735.1)
| Available teaching periods | Delivery mode | Location |
|---|---|---|
| View teaching periods | On-Campus |
Bruce, Canberra |
| EFTSL | Credit points | Faculty |
| 0.125 | 3 | Faculty Of Science And Technology |
| Discipline | Study level | HECS Bands |
| Academic Program Area - Science | Level 2 - Undergraduate Intermediate Unit | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
On successful completion of this unit, students will be able to:1. Appraise how genes and proteins can be analysed using computing resources;
2. Apply knowledge of gene/protein structure-function relationships and incorporate statistical methodology to analyse big data;
3. Evaluate the impact of bioinformatics and emerging technologies pertinent to medical science approaches to characterising genomes and proteomes; and
4. Demonstrate competency in using a variety of online databases to critically appraise DNA, RNA, and protein sequence information.
Graduate attributes
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - evaluate and adopt new technology
2. UC graduates are global citizens - think globally about issues in their profession
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
Prerequisites
11723 Data Analysis Skills for ScienceCorequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.| Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
|---|---|---|---|---|---|
| 2024 | Bruce, Canberra | Semester 1 | 05 February 2024 | On-Campus | Prof David Gordon |
Required texts
None.
Submission of assessment items
Extensions & Late submissions
Specific requirements:
To achieve a passing grade or higher in this subject, students must: Attempt all assessment items and achieve a final aggregate mark of 50% or higher.
Academic integrity
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
Participation requirements
While strongly encouraged, attendance is not compulsory for lectures or workshops
Required IT skills
Basic knowledge of Microsoft Word and Excel software, as well as prerequisite knowledge from Data Analysis Skills for Science (11723).
Work placement, internships or practicums
None.
