- Code COMP1110
- Unit Value 6 units
- Offered by Research School of Computer Science
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Areas of interest Business Information Systems, Digital Arts, Bioinformatics, Computer Science, Information Technology More...
- Academic career UGRD
- Dr Stephen Blackburn
- Mode of delivery In Person
Second Semester 2016
See Future Offerings
This course introduces students to the tools and techniques for developing software systems. The course teaches the fundamental strategies of abstraction, decomposition and reuse as methods for constructing such systems. Verification and validation techniques, with an emphasis on testing, are taught as a means to ensure that students are able to deliver software products of the quality required.
In particular, the course will cover: recursive data structures and algorithms; structured data types, abstract data types and their applications; object-oriented programming; and software development processes. The course will also introduce some of the theoretical fundamentals that underpin computer science.
Upon successful completion, students will have the knowledge and skills to:
Upon completion of this course, the student will be able to:
- Given a specification of the required behavior of a simple program the student should be able to: design, implement, and test a solution.
- Analyze alternatives among simple data-structures -- lists, tables, and trees, for example -- and select the most appropriate structure for a simple task.
- Analyze alternatives among simple algorithms -- sorting and searching, for example -- and select the most appropriate for a simple task.
- Rigorously analyze the correctness of a simple program fragment given a logical description of its required behavior.
- Apply their knowledge of regular expressions to devise a regular expressions to match target phrases.
- Apply their knowledge of testing principles to select appropriate test data for an individual software routine.
- Identify economic implications of the software life cycle to the process of software construction.
Assignment (30%); Lab Tests (20%); Final Exam (50%)
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Thirty one-hour lectures and nine two-hour tutorial/laboratory sessions
Requisite and Incompatibility
Horstmann, Cay Big Java , Wiley, 4th Edition, 2010 - recommended reading
Areas of Interest
- Business Information Systems
- Digital Arts
- Computer Science
- Information Technology
- Software Engineering
- Advanced Computing
- Information Systems
- Human Centred Computing
- Information-Intensive Computing
- Intelligent Systems
- Software Development
- Algorithms and Data
- Artifical Intelligence
- Computer Systems
- Computer Engineering
- Computational Foundations
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.
- Domestic fee paying students
- International fee paying students
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.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|7335||18 Jul 2016||29 Jul 2016||31 Aug 2016||28 Oct 2016||In Person||N/A|