Applied Artificial Intelligence and Machine Learning 2

Postgraduate | 2026

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Area/Catalogue
COMP 6026
Course ID icon
Course ID
201717
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
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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.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

This is course is designed to delve into the intricacies of deep learning, focusing on cutting-edge applications and architectures. The course emphasises the practical application of deep learning techniques, particularly in handling image data using convolutional neural networks (CNNs). Students will explore a variety of deep learning frameworks and gain hands-on experience through detailed case studies that showcase the implementation of these technologies in real-world scenarios. From recognising visual patterns to enhancing image processing capabilities, the course offers a thorough examination of how deep learning can be leveraged to solve complex problems in various domains, preparing students for innovative challenges in the field of AI and ML.

  • Deep Learning Foundation
  • Neural Network
  • Advanced Cnn Architectures
  • Transformers And Their Applications

Course learning outcomes

  • Comprehensive understanding of deep learning fundamentals, including activation functions, optimisation algorithms, and framework setup
  • Proficiency in designing, implementing, and optimising CNNs for image processing tasks
  • Advanced capability in leveraging complex CNN architectures for high-level image processing tasks such as object detection and image segmentation
  • Understanding and application of transformer architectures within the context of vision-related tasks

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A