- Code COMP7230
- Unit Value 6 units
- Offered by Research School of Computer Science
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Academic career PGRD
- Dr Armin Haller
- Mode of delivery In Person
Winter Session 2020
See Future Offerings
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.
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
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)
- 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]
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
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Approx 130 hours
Information on inherent requirements for this course is currently not available.
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and 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). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
- Domestic fee paying students
- International fee paying students
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.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|6278||10 Aug 2020||21 Aug 2020||21 Aug 2020||09 Oct 2020||In Person||N/A|
|6793||27 Jul 2020||02 Aug 2020||07 Aug 2020||04 Sep 2020||Online||N/A|