• Offered by ANU Wide
  • ANU College ANU Wide
  • Course subject ANU College
  • Academic career UGRD
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2019
    Second Semester 2019
    See Future Offerings

ANUC1100 offers Diploma students the same content and learning as COMP1100 in a more highly supported and extended teaching environment. This ensures that students are appropriately prepared for Bachelor level study.

Computer programs as a formal definition of a desired method or outcome (algorithm) are cornerstones in almost any current product design. Those programs are then mechanically translated and executed on a computer.

The course introduces the art of programming in small steps, starting from clearly structuring the required data. Typed functions, conditional expressions, and repetition (recursion) are introduced alongside as the basic methods to operate on this structured data. A key aim is to illustrate the interdependancy of algorithms and data structures - significantly, that data structures largely determine algorithms, for example, that products are processed by projections, unions by alternatives, and that recursive data structures such as lists are processed by recursive algorithms.

Programs also require time to execute in a computer system. Basic understanding of the relation between program design and execution time is an essential part of an efficient design.

For all but the simplest programs, some means of abstraction and structuring is required to manage the complexities faced by programmers, as individuals and as groups. The course introduces modularisation techniques and abstract data types, as a means of managing such complexity. Modular design is of fundamental and practical importance for program development and leads to elegant and maintainable programs.
 

Other Information

Course Contact: Dr Rebecca Cross
T: 02 61250982
E: rebecca.cross@anucollege.edu.au

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.

Requisite and Incompatibility

To enrol in this course you must be studying one of the following: Diploma of Computing (DIPCOMP), Diploma of Science (DIPSCI) or Diploma of Creative Design (DIPCRDES). You are not able to enrol in this course if you have previously completed COMP1100.

Fees

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:
2
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 $3480
International fee paying students
Year Fee
2019 $4980
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.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4383 25 Feb 2019 04 Mar 2019 31 Mar 2019 14 Jun 2019 In Person N/A

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
9417 22 Jul 2019 29 Jul 2019 31 Aug 2019 08 Nov 2019 In Person N/A

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