This course introduces students to the tools and techniques for developing software systems of a size and quality of an industrially relevant nature. 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 life-cycle. The course will also introduce some of the theoretical fundamentals that underpins software engineering, including: reasoning about software and its application to specifications, and verification and validation
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Upon completion of this course, the student will be able to:
- complete the implementation of an Program, given as specification of the required behavior of the class.
- understand some of the complexities of multi-threading
- work in a group to complete an assigned task
- independently use selected writings in computing to analyze and explain technical computing problems.
- 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.
- identify the invariant of a simple loop.
- apply the technique of recursion to implement simple requirements.
Indicative Assessment
Assignment (30%); Lab Tests (20%); Final Exam (50%)
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Workload
Thirty one-hour lectures and nine two-hour tutorial/laboratory sessions.
Requisite and Incompatibility
Prescribed Texts
Cay Horstmann,, Big Java, Wiley, 4th Edition, 2010
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 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2015 | $3096 |
- International fee paying students
| Year | Fee |
|---|---|
| 2015 | $4146 |
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.
Second Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 2358 | 20 Jul 2015 | 07 Aug 2015 | 31 Aug 2015 | 30 Oct 2015 | In Person | N/A |