This subject provides students with an in-depth study of the issues surrounding the development of Artificial Intelligence (AI) and Machine Learning (ML) systems. It will examine the basic mathematical foundations and logic requirements for developing AI and ML systems. AI and ML will be examined in detail together with the need for data analysis, data matching, decision trees, and Bayesian networks. The role of Neural networks in AI and ML will be considered. The subject will provide students with design and development experience in AI and ML programming and will include a practical section using AI and ML techniques.
School of Computing and Mathematics
Only available to postgraduate students
Basic understanding of programming is required to complete this subject successfully. Students without programming knowledge are encouraged to enrol in ITC558 prior to attempting this subject.
The information contained in the CSU Handbook was accurate at the date of publication: May 2021. The University reserves the right to vary the information at any time without notice.