Foundations of Computer Science B

Postgraduate | 2026

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Area/Catalogue
COMP 5042
Course ID icon
Course ID
203313
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

Introduces fundamental concepts of building data science applications in Python. Object oriented fundamentals x001A methods, and classes. Algorithms and problem solving - problem solving processes and strategies. Computational complexity of algorithms. Software development tools and techniques - testing: black box, requirements. Representation and manipulation of large scale data sets.

Course learning outcomes

  • Apply good programming style and understand the impact of style on developing and maintaining programs
  • Effectively use a version control system and the Linux command-line tools for incremental development
  • Implement, test and debug solutions in Python
  • Identify the relative merits of different algorithmic designs
  • Analyse algorithms and identify key algorithmic strategies
  • Explain fundamental computing algorithms

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Assessment

Assignment

Degree list
The following degrees include this course
Study Master of Immersive Media Technologies at Adelaide University - Information for Domestic students