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 |
| School Of Information Technology & Systems | 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. UC graduates are professional - employ up-to-date and relevant knowledge and skills1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
2. UC graduates are global citizens - think globally about issues in their profession
2. UC graduates are global citizens - adopt an informed and balanced approach across professional and international boundaries
3. UC graduates are lifelong learners - evaluate and adopt new technology
1. UC graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - take pride in their professional and personal integrity
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
3. UC 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 |
| 2027 | Bruce, Canberra | Semester 1 | 15 February 2027 | On-campus | Dr Ghazal Bargshady |
| 2027 | Bruce, Canberra | Semester 2 | 09 August 2027 | On-campus | Dr Ghazal Bargshady |
Required texts
Students are not required to buy a textbook for this unit.
Lecture materials, tutorial questions and answers, assignment specifications, and other related information are required. Details will be provided on UCLearn (Canvas) website for the unit.
The following website and textbook are recommended:
- Python website: https://www.python.org/
- Free textbook: A Byte of Python https://python.swaroopch.com/
Submission of assessment items
Extensions & Late submissions
Artifical inteligence
Restricted - The use of GenAI is NOT allowed in completing the assessment.
Special assessment requirements
or Final Assessment in the unit, the result will be one of the following grades: HD, DI, CR, P, or Fail (NX, NC or NN). Late submission in Final Assessment is not allowed.
The final mark is calculated as follows:
Final mark (out of 100) = Quiz 1 mark (out of 10) + Assignment 1 mark (out of 20) + Quiz 2 mark (out of 10) + Assignment 2 mark (out of 20) + Final Take-Home Assessment mark (out of 40)
The final grade for the subject is then determined according to the following table:
|
85 <= Final mark <= 100 |
Final grade = HD |
|
75 <= Final mark < 85 |
Final grade = DI |
|
65 <= Final mark < 75 |
Final grade = CR |
|
50 <= Final mark < 65 |
Final grade = P |
|
0 <= Final mark < 50 |
Final grade = FAIL (NX, NC or NN) |
The unit convenor reserves the right to question students on any of their submitted work for moderation and academic integrity purposes.
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.
Learner engagement
| Activities |
Estimated hours per week |
| Weekly Lecture on Canvas: 2 hours per week, 12 weeks |
24 |
| Weekly Tutorial: 2 hours per tutorial, 11 weeks |
22 |
| Weekly study commitment and online taks, in addition to the 2 items above: 3 hours per week, 12 weeks |
36 |
| Assignments: 68 hours |
68 |
| Total |
150 |
Participation requirements
Your participation in both lecture and lab/tutorial activities will enhance your understanding of the unit content and therefore the quality of your assessment responses. Lack of participation may result in your inability to satisfactorily pass assessment items. Experience has shown that students who do not attend the classes and/or do not engage with the online content will have difficulty in passing the subject.
Required IT skills
Common IT skills, such as writing a report electronically, using web browsers are also required.
Work placement, internships or practicums
None
Additional information
In all cases of absence, sickness or personal problems, it is the student's responsibility to ensure that the unit convenor is informed. The minimum participation requirement must be met in order to pass the unit (regardless of supporting documentation).
It is important that students refer to unit website (through UCLearn – UC's online learning environment) on a regular basis for any variations in the schedule and deadlines for the assessment tasks, which will be announced on the Unit Website. It is also the student's responsibility to ensure that they regularly check their UC email account, as electronic messages (whether via the unit's UCLearn site or directly) will be sent to this account.
The online discussion forum on the unit's UCLearn site is as very useful place for posting questions and students are strongly encouraged to make use of it.
