Programming Fundamentals
UndergraduateTAS-KIT1012025
Course information for 2025 intake View information for 2024 course intake
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- Study method
- 100% online
- Assessments
- 100% online
- Enrol by
- 16 Feb 2025
- Entry requirements
- No ATAR needed, No prior study
- Duration
- 14 weeks
- Price from
- $2,780
- Upfront cost
- $0
- Loan available
- HECS-HELP and FEE-HELP available
Programming Fundamentals
About this subject
Upon successful completion of this subject, students should be able to:
- Apply code reading and debugging techniques to analyse, interpret, and describe the purpose of program code, and to identify and correct errors in syntax, logic, and/or style
- Apply the principles of structured programming to the design and implementation of algorithms as computer programs
- Construct small programs that include the use and creation of functions, lists, and other data structures
- Apply functional decomposition to algorithms, document the resulting design, and implement the design as programming modules and functions
- Week 1 Subject Overview and Introduction to Programming Languages
- Week 2 Algorithms, Primitive Data & Using Objects
- Week 3 Code Tracing plus Writing Your Own Methods
- Week 4 Decisions and Repetition
- Week 5 Selection and Repetition Demonstration
- Week 6 Introduction to working with arrays
- Week 7 Object-oriented Problem Solving & Functional Decomposition
- Week 8 Object-oriented Program Design
- Week 9 Sorting & searching arrays
- Week 10 Examples, including By Request
- Week 11 Examples on Recursion
This subject introduces fundamental programming skills, developing students' ability to think algorithmically to solve problems and to express their ideas in well-constructed Python code. Beginning with the fundamental characteristics of computers and how they represent information, the subject develops the concepts of data types, variables, expressions (calculations), statements (actions), and text-based input and output. Building on these low-level constructs, the subject examines ways to manage program complexity with control structures (for making decisions), functions and their parameters, built-in and custom data structures, and higher-level organisational mechanisms such as modules. Students will have the opportunity to explore advanced topics such as error handling and recursion.
- Pass Portfolio (50%)
- Advanced Portfolio (40%)
- Learning Reflection Report (10%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
No entry requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
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What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
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Bachelor of Business and Bachelor of Economics
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Bachelor of Business and Bachelor of Psychological Science
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Bachelor of Business and Bachelor of Science
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Diploma of University Studies (Science Pathway)
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