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Artificial intelligence applications in engineering
TRC5901
Synopsis
This unit offers an engaging exploration of artificial intelligence (AI) within engineering and industrial domains, focusing on both predictive and generative AI. You will study the principles of predictive AI through machine learning and deep learning techniques, developing engineering-specific skills in data preprocessing, classification and regression tasks. These skills are essential for solving complex industrial challenges by transforming raw data into meaningful insights. The unit then transitions to generative AI, providing an in-depth exploration of its transformative applications across various industries, where the creation of autonomous content enhances the efficiency and innovation of engineering processes and workflows. In addition, the unit places a strong emphasis on the ethical implementation of generative AI, fostering a nuanced understanding of responsible and sustainable AI practices. By integrating theoretical knowledge, data preprocessing techniques and practical engineering applications, you will gain the expertise required to design and implement intelligent solutions utilising AI technologies in the workplace.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 5
- Audience
- Postgraduate
- Type
- Coursework
- School
- Faculty of Engineering
- Faculty
- Department of Mechanical and Aerospace Engineering
- Handbook year
- 2026
Prerequisites
No prereqs in the handbook graph.
What it unlocks
Nothing in the visible graph depends on this unit.