This programming course teaches basic concepts in imperative and object-oriented programming and corresponding data structures.
Students will learn to use an industrial-strength object-oriented programming language and form basic mental models of how computer programs execute and interact with their environment. The course focuses on key aspects of solving programming problems: reasoning about a problem description to design appropriate data representations and function/method descriptions, to find examples, to write, test, debug, and otherwise evaluate the relevant code, and to present and defend their approach.
Students will learn to effectively use a large standard library and key standard data structures, including lists, trees, hash tables, and graphs. The course also introduces the basics of reasoning about the time and space complexity of algorithms, in particular as related to the above data structures.
The Advanced version of this course (COMP1140) covers these topics in more depth, allowing students to deepen their understanding and experience.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Apply fundamental programming concepts, using an object-oriented programming language, to solve practical programming problems
- Implement, debug, and evaluate algorithms for solving substantial problems; implement an abstract data type
- Apply basic algorithmic analysis to simple algorithms; use appropriate algorithmic approaches to solve problems
- Design, implement, and test data structures and code
- Present, explain, evaluate, and defend choices in design and implementations of programs and algorithms
Indicative Assessment
- Assignments (40) [LO 1,2,3,4,5]
- Course Engagement (5) [LO 1,2,3,4,5]
- Exams and Tests (55) [LO 1,2,3,4]
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.
Workload
Lectures, workshops/laboratory sessions, presentations, and self-study to a total of 130 hours.
Requisite and Incompatibility
Prescribed Texts
See Structured Programming COMP1110 website
Areas of Interest
- Business Information Systems
- Digital Arts
- Bioinformatics
- Computer Science
- Information Technology
- Software Engineering
- Advanced Computing
- Information Systems
- Human Centred Computing
- Intelligent Systems
- Software Development
- Algorithms and Data
- Artifical Intelligence
- Computer Systems
- Computer Engineering
- Computational Foundations
Fees
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:
- 2
- 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.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
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.