COMP6013

COMP6013: Explainable Approaches to Machine Learning

Student reviews for COMP6013 at Curtin University. See ratings, workload, grades, and honest feedback from Curtin students.

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Which units require COMP6013?

No other unit in the catalogue lists COMP6013 as a prerequisite, so it is not a gateway to anything further.

What is COMP6013 about?

The unit will focus on special machine learning approaches, named explainable artificial intelligence or XAI, that generate solutions that can be trusted and are easy to understand and particularly well suited to fields such as medicine, finance, security, legal, military, and where human-machine interaction is needed. It will provide students with XAI fundamentals such as interpretability, explainability, and visualisation as well as legal and ethical issues surrounding XAI. The unit will also cover different classes of techniques from model-agnostic, example-based, to neural network interpretation. Finally, common XAI applications and current trends in XAI will also be discussed.

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Unit details

Credits25

Contact Hours3 Weekly

Result TypeGrade/Mark

AreaSchool of Electrical Engineering, Computing and Mathematical Sciences (EECMS) (1153)

Field of Education020100 Computer Science (Narrow Grouping)

Handbook View Official Handbook Page →

How this unit is taught

Practical1 x 1 hour weekly
Workshop1 x 2 hours weekly

Prerequisites

Prerequisites group 1Select One

MC-PREDANv7Master of Predictive Analytics
MC-AINTLv3Master of Artificial Intelligence