• Offered by School of Computing
  • 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 Online or In Person
  • Offered in Winter Session 2021
    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]

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

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

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
Domestic fee paying students
Year Fee
2021 $4410
International fee paying students
Year Fee
2021 $5880
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
4247 09 Aug 2021 20 Aug 2021 20 Aug 2021 08 Oct 2021 In Person N/A

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