Programming for Data Science G (11521.2)
| 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 - Technology | Graduate Level | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
After successful completion of this unit, students will be able to:1. Analyse and apply fundamentals of programming in Python and/or other relevant languages utilising common libraries and tools to implement software solutions;
2. Apply software engineering best practices, including code development, large database integration, testing and debugging, and version control to create industry-aligned software;
3. Critically reflect on available computational tools for solving data science problems;
4. Successfully demonstrate practical skills in developing solutions to data science problems.
Graduate attributes
1. ÂÜÀòÊÓÆµ graduates are professional - employ up-to-date and relevant knowledge and skills1. ÂÜÀòÊÓÆµ graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. ÂÜÀòÊÓÆµ graduates are global citizens - make creative use of technology in their learning and professional lives
3. ÂÜÀòÊÓÆµ graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
2. ÂÜÀòÊÓÆµ graduates are global citizens - think globally about issues in their profession
2. ÂÜÀòÊÓÆµ graduates are global citizens - adopt an informed and balanced approach across professional and international boundaries
3. ÂÜÀòÊÓÆµ graduates are lifelong learners - evaluate and adopt new technology
1. ÂÜÀòÊÓÆµ graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
1. ÂÜÀòÊÓÆµ graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. ÂÜÀòÊÓÆµ graduates are professional - take pride in their professional and personal integrity
2. ÂÜÀòÊÓÆµ graduates are global citizens - communicate effectively in diverse cultural and social settings
2. ÂÜÀòÊÓÆµ graduates are global citizens - behave ethically and sustainably in their professional and personal lives
3. ÂÜÀòÊÓÆµ graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
Prerequisites
11516 Introduction to Data Science GCorequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
Working knowledge of discrete mathematics, algebra and numerical analysis.| Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
|---|---|---|---|---|---|
| 2026 | Bruce, Canberra | Semester 1 | 16 February 2026 | On-campus | Dr Ghazal Bargshady |
| 2026 | Bruce, Canberra | Semester 2 | 10 August 2026 | On-campus | Dr Ghazal Bargshady |
Students must apply academic integrity in their learning and research activities at ÂÜÀòÊÓÆµ. 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.
ÂÜÀòÊÓÆµ students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
ÂÜÀòÊÓÆµ 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 , , and ÂÜÀòÊÓÆµ (Student Conduct) Rules 2023. For further advice, visit Study Skills.