Course has been adjusted for remote participation in Semester 1, 2022.
This course introduces students to the fundamentals of software development with a substantial group software project at its center. Major foci are data structures, object oriented programming, and an introduction to software engineering. Students will extend their understanding of software productivity tools, using revision control for group work, and be introduced to test-driven development as an integral part of software construction.
Students will be introduced to an industrial strength object oriented programming language, extending their understanding of the imperative programming paradigm with a solid grounding in object oriented programming. Inheritance, polymorphism, and parametric types are taught, as well as concepts such as boxing and auto boxing. The important role of standard libraries and their collection types will be emphasized. GUI programming will be introduced.
The course includes a deeper treatment of data structures, using hash tables, trees and lists, which are used to provide concrete implementations of abstract library collection types. The theory of data structures and their time and space complexity will thus be tied to the practice of using standard collections such as those offered by object oriented languages.
The foundations of software engineering including: major development paradigms (such as big plan up front, agile, and formal methods) and risk are introduced.
Upon successful completion, students will have the knowledge and skills to:
- Apply fundamental programming concepts, using an object oriented programming language, to solve substantial problems
- Understand basic types and the benefits of static typing for object oriented programs
- Distinguish language definition from implementation, syntax and parsing from semantics and evaluation; understand how program state maps to memory (globals, local, heap) and the implications of heap reachability for memory management
- Develop, understand, test, and evolve substantial programs using a modern IDE, and associated configuration tools; use programming approaches that avoid common coding errors; practice fundamental defensive programming; perform individual and team program reviews; use established design principles to organize a software system
- Use, implement, and evaluate fundamental data structures and associated algorithms; create, implement, debug, and evaluate algorithms for solving substantial problems, including recursive, using divide-and-conquer and via decomposition; select and implement an abstract data type for a given problem
- Perform analysis of simple algorithms; select and use appropriate algorithmic approaches to solve problems (brute-force, divide-and-conquer, recursive backtracking, heuristic)
- Apply the even-driven programming paradigm to construct GUIs
- Deliver and evaluate basic technical documents, presentations, and group interactions, using appropriate tools
Professional Skills Mapping:
- Individual Assignment (5) [LO null]
- Group Assignment (25) [LO null]
- 2 Lab Tests (20) [LO null]
- Final Exam (50) [LO null]
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.
Workload31 hrs lectures + 8 x 2hrs of labs/tutorial
Information in inherent requirements for this course is currently not available.
Requisite and Incompatibility
Cay Horstmann,, Big Java, Wiley, 4th Edition, 2010
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.
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.