- One Semester or equivalent
- 48 hours face to face + Blended
On-campus unit delivery combines face-to-face and digital learning.
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|
|ULO1||Design, build and train datasets using machine learning algorithms to solve multidisciplinary engineering problems (A4, A5, A6, K1, K2, S1).|
|ULO2||Demonstrate knowledge of a range of AI, machine learning and deep learning algorithms and their applications (A1, A2, A4, K3, K4, S2).|
|ULO3||Assess, appraise and justify appropriate AI techniques to solve computational engineering problems (A3, K4, K5, K6, S2, S3).|
|ULO4||Communicate effectively and succinctly through oral presentations and reports (A2, A6, A7, K6, S3, S4).|