- 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 Online or 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:
- 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, ANU has changed the mode of delivery for all classes in Semester 1 2020 to remote delivery.
Semester 1 Class Summary information (available under the Classes tab) on this publication is as up to date as possible. Changes to Class Summaries not captured by this publication will be available via Wattle and students should have been advised by the offering College. Find out more information on the University's response to COVID-19 here.
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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.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- 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.
Offerings, Dates and Class Summary Links
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|