Artificial Intelligence for Engineering

COS40007 12.5 Credit Points Hawthorn


  • One Semester or equivalent

Contact hours

  • 48 hours face to face + Blended

On-campus unit delivery combines face-to-face and digital learning.


100 cp in BEng or BCompSc or related double degrees

Aims and objectives

The unit of study aims to provide engineers with the knowledge and skills required to design and implement artificial intelligence, machine learning techniques that can effectively solve complex engineering problems. It is important for engineering professionals to understand the Artificial intelligence concepts and techniques for building intelligent systems.

On successful completion of this unit students will be able to:
#Unit Learning Outcome Description
ULO1Design, build and train datasets using machine learning algorithms to solve multidisciplinary engineering problems (A4, A5, A6, K1, K2, S1).
ULO2Demonstrate knowledge of a range of AI, machine learning and deep learning algorithms and their applications (A1, A2, A4, K3, K4, S2).
ULO3Assess, appraise and justify appropriate AI techniques to solve computational engineering problems (A3, K4, K5, K6, S2, S3).
ULO4Communicate effectively and succinctly through oral presentations and reports (A2, A6, A7, K6, S3, S4).