Grand Challenges in Computer Science

Undergraduate | 2026

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Area/Catalogue
COMP 1042
Course ID icon
Course ID
205771
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
1
Study abroad and student exchange icon
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

This course provides an introduction to key research areas in Computer Science and the "Grand Challenges". Topics include AI, Algorithms, Distributed Systems, Networking, Data Mining and Hardware; scholarship and writing in the discipline, critical analysis and thinking skills.

Course learning outcomes

  • Identify, justify and discuss the grand challenge problems, giving clear examples of why these are significant to the discipline and to the population at large
  • Apply systematic and creative thinking techniques for analysis and problem solving
  • Apply critical thinking skills in the development of complex activities and in the provision of constructive criticism
  • Apply fundamental Computer Science methods and algorithms in the analysis, summarization and visualisation of large and significant data sets
  • Demonstrate the ability to communicate, in written, visual and verbal form, in order to convey complex information to others in a way that supports decision-making

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A