Note: Non-DADAN/MADAN students wanting to enrol in the non-standard session offerings are required to seek approval from their Program Convener.
This course teaches introductory programming within a problem solving framework applicable to data science. The course emphasizes technical programming, data processing, and data manipulation. There is an emphasis on designing and writing correct code. Testing and debugging are seen as integral to the programming enterprise. The course will also teach how to effectively use computational tools for data analysis. It will provide skills for tackling the `messiness' of real-world computer systems, programming languages, and data. The course will be taught using one or more programming languages which are widely applicable to data analytics work.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Critically reflect upon the creative possibilities computation brings to data science
- Research, test, modify and write, small programs in a programming language relevant for data science
- Demonstrate a practical understanding of solutions to data processing problems
- Justify best-practice programming organisation
Other Information
Students will need to install the following software programs in order to successfully complete this course:
- Anaconda Python (https://www.continuum.io/downloads)
- PyCharm IDE Community Edition (https://www.jetbrains.com/pycharm/)
- Git Client (https://git-scm.com/downloads)
Indicative Assessment
- Programming assignments (40%) - LO 1 to 3 (40) [LO 1,2,3]
- Online quizzes (20%) - LO 1 to 4 (20) [LO 1,2,3,4]
- Final examination (40%) - LO 1 to 4 (40) [LO 1,2,3,4]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
Approx 130 hours
Inherent Requirements
Information on inherent requirements for this course is currently not available.
Requisite and Incompatibility
Prescribed Texts
None
Fees
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- 2
- Unit value:
- 6 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2021 | $4410 |
- International fee paying students
| Year | Fee |
|---|---|
| 2021 | $5880 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
Winter Session
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| Intensive Course | ||||||
| 4247 | 09 Aug 2021 | 20 Aug 2021 | 20 Aug 2021 | 08 Oct 2021 | In Person | N/A |
