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 |
| 2025 | Bruce, Canberra | Semester 1 | 03 February 2025 | On-campus | Dr MD Tariq Ezaz |
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.
Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
UC students have to complete the Academic Integrity Module annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and University of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.
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.
