- Code COMP1510
- 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 Computer Science, Software Engineering, Software Development, Algorithms and Data, Computer Engineering
- Academic career UGRD
- Dr Stephen Blackburn
- Mode of delivery In Person
Second Semester 2015
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.
- Understand some of the complexities of multi-threading.
- 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 behaviour.
- 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.
Mapping of Learning Outcomes to Assessment and Professional Competencies
Assignment (30%); Lab Tests (20%); Final Exam (50%)
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Thirteen three-hour tutorial/laboratory/lecture sessions.
Requisite and Incompatibility
Horstmann, Cay Big Java , Wiley, 4rd Edition, 2010
Tuition fees are for the academic year indicated at the top of the page.
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- 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.
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|
|1413||20 Jul 2015||07 Aug 2015||31 Aug 2015||30 Oct 2015||In Person||N/A|