Course overview
In this course, students will explore the pillars of computational thinking, how to develop and analyse algorithms, and how solutions can be implemented using the Python programming language. Topics covered in this course include: introduction to problem solving; design thinking; decomposition and pattern recognition; data representation and abstraction; introduction to algorithms; common algorithms explained; your algorithm to pseudo-code; programming concepts; introduction to python; variables and conditional statements; lists and loops; functions and files.
Course learning outcomes
- Define problems in an organisational context.
- Apply computational thinking techniques to solve a range of well-known problems.
- Describe both the problem solving methodology used and the solution developed to a specific problem.
- Convert an algorithm into pseduo code.
- Apply foundational programming concepts to write small programs using a functional programming language.
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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.