Foundations of Computer Science B

Postgraduate | 2026

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Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
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Area/Catalogue
COMP 5042
Course ID icon
Course ID
203313
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Campus
Adelaide City Campus
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course owner
Course owner
Adelaide University
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Course level
5
Work Integrated Learning course
Work Integrated Learning course
No
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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

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)

  • must have completed COMP5041 Foundations of Computer Science A

Corequisite(s)

N/A

Antirequisite(s)

  • must not have completed COMP5080 Foundations of Computer Science OR must not have completed COMPSCI7211 Foundations of Computer Science B at the University of Adelaide

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Degree list
The following degrees include this course