• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Classification Transitional
  • Course subject Computer Science
  • Academic career PGRD
  • Course convener
    • Dr Armin Haller
  • Mode of delivery In Person
  • Offered in 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.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Critically reflect upon the creative possibilities computation brings to data science
  2. Research, test, modify and write, small programs in a programming language relevant for data science
  3. Demonstrate a practical understanding of solutions to data processing problems
  4. Justify best-practice programming organisation

Other Information

Students will need to install the following software programs in order to successfully complete this course:

  1. Anaconda Python (https://www.continuum.io/downloads)
  2. PyCharm IDE Community Edition (https://www.jetbrains.com/pycharm/)
  3. Git Client (https://git-scm.com/downloads)

Indicative Assessment

  1. Programming assignments (40%) - LO 1 to 3 (40) [LO 1,2,3]
  2. Online quizzes (20%) - LO 1 to 4 (20) [LO 1,2,3,4]
  3. 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

Inherent Requirements

Information on inherent requirements for this course is currently not available.

Requisite and Incompatibility

You are not able to enrol in this course if you have successfully completed COMP1730/COMP6730 and COMP1040.

Prescribed Texts



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.

6.00 0.12500
Domestic fee paying students
Year Fee
2020 $4320
International fee paying students
Year Fee
2020 $5760
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
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
6278 10 Aug 2020 21 Aug 2020 21 Aug 2020 09 Oct 2020 In Person N/A
GCDE Intensive
6793 27 Jul 2020 02 Aug 2020 07 Aug 2020 04 Sep 2020 Online N/A

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