• Offered by School of Computing
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Computer Science
  • Areas of interest Information Technology
  • Academic career UGRD
  • Course convener
    • Dr Bernardo Pereira Nunes
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2022
    Second Semester 2022
    See Future Offerings

In Sem 2 2022, this course is delivered on campus with adjustments for remote participation due to unavoidable COVID constraints.

This course continues to build on topics taught in the previous two courses. It focuses on construction of medium scale programs, using design patterns and tools that are used in the software development process. Students will gain further experience with industry standard revision control and integrated development environment (IDE) tools.

Students will learn appropriate application of programming abstractions they have learned in previous courses to the structuring of medium scale software: inheritance, generic types, polymorphism, procedural abstraction, and abstract recursive data structures (including abstract syntax trees as a program representation, and tools that manipulate them).

The course also covers more advanced data structures, such as priority queues, B-trees, red-black trees, and AVL trees, and deepens understanding of appropriate algorithmic strategies.

The course also treats intellectual property considerations in software development and deployment.

Learning Outcomes

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

Upon completion of this course, the student will be able to:
  1. Apply fundamental programming concepts for medium scale programs
  2. Understand basic types and the benefits of static typing, with understanding of generics, subtyping, and overloading, and their roles in structuring programs
  3. Map programming language abstractions through to execution environment; use non-source (text) internal representations of programs (e.g., abstract syntax trees); sketch low-level run-time representations of core language constructs (objects and closures)
  4. Describe contractual specifications, analyse documentation and specifications against other’s code, develop, understand, test, and evolve substantial programs using a modern IDE, and associated configuration tools; explain the importance of correctness for quality software; understand common coding errors and how to avoid them; practice fundamental defensive programming; understand principles of secure design
  5. Use, implement, and evaluate more advanced data structures and associated algorithms; discuss factors other than computational efficiency for evaluating software; create, implement, debug, and evaluate algorithms for solving problems, including recursively, using divide-and-conquer, and via decomposition; implement an abstract data type; analyse design and implementation alternatives
  6. Apply basic algorithmic analysis to simple algorithms; use big-O notation formally, upper lower, and expected case bounds; use and solve recurrence relations; use appropriate algorithmic approaches to solve problems (brute-force, greedy, divide-and-conquer, recursive backtracking, heuristic, dynamic programming, branch-and-bound)
  7. Explain how system components contribute to performance; understand Amdahl’s law and its limitations; design and conduct performance experiments; use software tools to profile and measure program performance
  8. Understand, apply, and analyse state and state machines in expressing computations
  9. Understand fundamental concepts of GUIs and user interfaces; understand the basics of modeling and simulation
  10. Contrast the concepts of copyright, patenting, and trademarks as mechanisms for protecting intellectual property, within the legal context for these mechanisms;  understand, analyse, and evaluate ethical/social tradeoffs in technical decisions, evaluating stakeholder positions

Indicative Assessment

Assignments, labs, tutorials (40%); final exam (60%)

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.


Thirty one hour lectures and nine 2 hour laboratory sessions

Requisite and Incompatibility

To enrol in this course you must have successfully completed COMP1100 or COMP1130, and COMP1110 or COMP1140 or COMP1510, and 6 units of 1000 level MATH. You are not able to enrol in this course if you have completed COMP2500 or COMP6442.

Prescribed Texts

No prescribed textbooks.

Assumed Knowledge

Introductory programming, preferably in an object-oriented language, to design and implement programs with several classes, with simple inheritance.


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:
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.

6.00 0.12500
Domestic fee paying students
Year Fee
2022 $4740
International fee paying students
Year Fee
2022 $6000
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.

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
2160 21 Feb 2022 28 Feb 2022 31 Mar 2022 27 May 2022 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
5901 25 Jul 2022 01 Aug 2022 31 Aug 2022 28 Oct 2022 In Person N/A

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