Foundations of Computer Science - Python B

Postgraduate | 2026

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Area/Catalogue
COMP 5058
Course ID icon
Course ID
203329
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 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

  • Evaluate real world problems and data and translate to computer representation.
  • Demonstrate practical ability to use Python prediction and classification tools.
  • Demonstrate ability to construct complex Python programs.
  • Interpret and express the language of data science and programming.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A

Assessment

Skills Demonstration, Problem Solving Task, Multiple Choice Questions, Exam

Degree list
The following degrees include this course
Study Graduate Diploma in Data Science (Applied) at Adelaide University - Information for Domestic students
Study Master of Data Science (Applied) at Adelaide University - Information for Domestic students