This course provides Students with the opportunity to develop a solid understanding of programming that is essential before progressing to more advanced concepts. It is structured to demonstrate and provide the students with practice in the fundamentals of structured programming. It is designed for Postgraduate students who do not have a programming background.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.
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Requisite and Incompatibility
You are not able to enrol in this course if you have previously completed or are currently enrolled in COMP1110 OR COMP1140 OR COMP6710
Referenced entries (3)
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- COMP1110 · 2027 · saved source not linked
- COMP1140 · 2027 · saved source not linked
- COMP6710 · 2027
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Internalize computation thinking
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
Understand their ethical responsibilities as a programmer with respect to Academic integrity, the use of Artificial Intelligence and authorship of code
Present, explain, evaluate, and defend choices in design and implementations of programs and algorithms
Published offerings
Future offerings are indicative. Only recognised 2027 sessions with a published class number are offered in the enrolment demo.
| Year | Session | Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|---|---|
| 2027 | First Semester | 5114 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |
| 2027 | Second Semester | 10119 | 26 Jul 2027 | 02 Aug 2027 | 31 Aug 2027 | 29 Oct 2027 | In Person | N/A |
| 2028 | First Semester | 6512 | 21 Feb 2028 | 28 Feb 2028 | 31 Mar 2028 | 26 May 2028 | In Person | N/A |
| 2028 | Second Semester | 10873 | 24 Jul 2028 | 31 Jul 2028 | 31 Aug 2028 | 27 Oct 2028 | In Person | N/A |
Complete offering text
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. The list of offerings for future years is indicative only. Class summaries, if available, can be accessed by clicking on the View link for the relevant class number. 2027 2028 First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 5114 22 Feb 2027 01 Mar 2027 31 Mar 2027 28 May 2027 In Person N/A Second Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 10119 26 Jul 2027 02 Aug 2027 31 Aug 2027 29 Oct 2027 In Person N/A First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 6512 21 Feb 2028 28 Feb 2028 31 Mar 2028 26 May 2028 In Person N/A Second Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 10873 24 Jul 2028 31 Jul 2028 31 Aug 2028 27 Oct 2028 In Person N/A
Source evidence (1 saved copy)
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