Problem Solving in the Digital Age

Postgraduate | 2026

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Area/Catalogue
COMP 5068
Course ID icon
Course ID
205834
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
5
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

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.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A