• Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Computer Science
  • Academic career UGRD
  • Mode of delivery In Person

Knowing how to effectively use computational tools to perform data analysis, simulation, and visualisation is rapidly becoming a crucial skill in an increasing number of industries and academic disciplines. The aim of this course is to provide skills for tackling the "messiness" of real-world computer systems, programming languages, and data. Unlike many other computer science courses which explain a single area in depth, the focus of The Craft of Computing will be on understanding core principles that allow students to quickly and confidently learn and apply a variety of computational tools to several different types of problem. The skills developed in this course will be a great asset to students in their undergraduate life and future careers.

Learning Outcomes

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

  • Appreciate the creative possibilities computation brings to multiple disciplines.
  • Be able to solve practical problems in various domains using appropriate software tools.
  • Be able to understand, modify, debug, and write small programs in a high-level programming language.
  •  Be able to translate learned programming skills to new programming languages, tools, and contexts.
  • Understand the culture, conventions and resources to do with software development, deployment, and use.

Indicative Assessment

    • 10% online exercises
    • 40% assignments
    • 50% project

      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.


      3 hours of lectures, 1 hour of tutorial, and 6 hours of self-study per week.

      Requisite and Incompatibility

      Incompatible with COMP1730, COMP6730 and COMP7230.

      Prescribed Texts


      Assumed Knowledge

      • High School mathematics to the level of ACT College Mathematics General.
      • Prior programming experience not required.




      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.

      Units EFTSL
      6.00 0.12500
      Domestic fee paying students
      Year Fee
      2019 $4320
      International fee paying students
      Year Fee
      2019 $5700
      Note: Please note that fee information is for current year only.

      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.

      There are no current offerings for this course.

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