Course Details
Course Information Package
| Course Unit Title | MANAGEMENT SCIENCE I | ||||||||
| Course Unit Code | ABSO304 | ||||||||
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| Number of ECTS credits allocated | 5 | ||||||||
| 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 | AMAT210 | Co-requisites | NONE | ||||||
| Recommended optional program components | NONE | ||||||||
| Course Contents | Forecasting. The components of time series. Smoothing methods (simple moving averages, weighted moving averages, exponential smoothing) Trend projection. Forecasting a time series with trend and seasonal components. Regression and mean square error. De-seasonalisation. The structure of a waiting line system. Classification of waiting line models. Little’s flow equations The single-channel waiting line model with Poisson arrivals and exponential service times. The multiple-channel waiting line model with Poisson arrivals and exponential service times. The single-channel waiting line model with Poisson arrivals and arbitrary service times. Sensitivity Analysis in Linear Programming. Transportation and the assignment problem. Simplex Method – Applications. | ||||||||
| 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 to the students by means of lectures, and tutorials. Lecture notes are available through the e-learning platform of the University, and the instructor’s webpage. Students are encouraged for class work, problem solving and discussion. | ||||||||
| Assessment methods and criteria |
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| Language of instruction | English | ||||||||
| Work placement(s) | NO | ||||||||
