Overview
This unit provides a comprehensive introduction to the use of data analytics and artificial intelligence (AI) in optimising modern supply chains. You will gain skills to evaluate key supply chain processes and apply data-driven methodologies to enhance efficiency, reduce costs and improve decision-making. Through hands-on projects and case studies, you … For more content click the Read More button below.
Offerings
S1-01-MALAYSIA-ON-CAMPUS
Rules
Enrolment Rule
Contacts
Chief Examiner(s)
Dr Alpha Agape
Unit Coordinator(s)
Dr Alpha Agape
Teaching approach
Peer assisted learning
Active learning
Online learning
Simulation or virtual practice
Assessment summary
Continuous assessment: 50%
Final assessment: 50%
This unit contains threshold hurdle requirements that you must achieve to be able to pass the unit. You are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final assessment component. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.
Assessment
1 - Assignments
2 - Tests and quizzes
3 - Project
4 - Final assessment
Scheduled and non-scheduled teaching activities
Practical activities
Workshops
Workload requirements
Workload
Availability in areas of study
E6013 Master of Applied Engineering - Specialisation: Industrial and robotics engineering