Course Details
Course Information Package
Course Unit Title | QUANTITATIVE METHODS IN ENGINEERING MANAGEMENT | ||||||||
Course Unit Code | MEM501 | ||||||||
Course Unit Details | MSc Engineering Management (Required Courses) - | ||||||||
Number of ECTS credits allocated | 7 | ||||||||
Learning Outcomes of the course unit | By the end of the course, the students should be able to:
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Mode of Delivery | Face-to-face | ||||||||
Prerequisites | NONE | Co-requisites | NONE | ||||||
Recommended optional program components | NONE | ||||||||
Course Contents | Data Management:Mathematical Modelling in Engineering Management: Modelling examples, the modelling process, certainty and uncertainty in models Statistics: Confidence intervals, distribution fit, hypothesis testing, regression analysis Modeling & Optimization:Linear programming: Decision variables, objectives, constraints, linear programming solver, sensitivity analysis Linear programming in Production Models: Blending models, product mix models, multi period process models, process based cost models Network Models: Assignment, shortest path problems Mathematical Programming with Integer Variables: Effect of Integer Variables in Mathematical Programming Integer Programming and Mixed Linear-Integer Programming Transportation and Transhipment problems, Location allocation, multistage logistic models
Decision Analysis & Simulation Decision analysis: Decision criterion, probabilistic decision models, decision trees Simulation: Monte Carlo simulation, input and output analysis Queuing analysis: Design and analysis of production and service system using queuing models to predict and mitigate delay and congestion | ||||||||
Recommended and/or required reading: | |||||||||
Textbooks |
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References |
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Planned learning activities and teaching methods |
The course is delivered through three hours of lectures per week, which include presentation of new material and demonstration of concepts and methods. Lectures also include in-class exercises to enhance the material learning process and to assess the student level of understanding and provide feedback accordingly. Practical demonstrations and labwork are conducted in computer laboratories using various software (Microsoft XL) as well as specialised tools (e.g. AIMMS modelling package). | ||||||||
Assessment methods and criteria |
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Language of instruction | English | ||||||||
Work placement(s) | NO |