Queueing Theory (MAE634)
General
| School |
School of Science |
|---|---|
| Academic Unit |
Department of Mathematics |
| Level of Studies |
Undergraduate |
| Course Code |
MAE634 |
| Semester |
6 |
| Course Title |
Queueing Theory |
| Independent Teaching Activities |
Lectures (Weekly Teaching Hours: 3, Credits: 6) |
| Course Type |
Special Background |
| Prerequisite Courses | - |
| Language of Instruction and Examinations |
Greek |
| Is the Course Offered to Erasmus Students |
Yes |
| Course Website (URL) | - |
Learning Outcomes
| Learning outcomes |
The course learning outcomes are: the study and development models that describe and analyse the behaviour and performance of queueing systems and their applications for optimal decision making. Upon successful completion of the course the student will be able to:
|
|---|---|
| General Competences |
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Syllabus
Introduction. Birth death process. Transforms. Markovian Queueing Systems (Μ/Μ/1/∞, Μ/Μ/m/k, Μ/Μ/m/m, Μ/Μ/∞/∞). Queue with group arrival, Queue with group services, M/G/1/∞. Applications for optimal decision making.
Teaching and Learning Methods - Evaluation
| Delivery |
Face-to-face | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Use of Information and Communications Technology | -
Software for the calculation of queueing systems performance measures, Email, class web | ||||||||||
| Teaching Methods |
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| Student Performance Evaluation |
LANGUAGE OF EVALUATION: Greek
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Attached Bibliography
Bibliography:
- Φακίνος, Δ. Στοχαστικά Μοντέλα στην Επιχειρησιακή Έρευνα, Σ. Αθανασόπουλος-Σ. Παπαδάμης & ΣΙΑ, Αθήνα, 2003.
- Hillier F.S. and Lieberman, G.J. Introduction to Operations Research, 7/E. McGraw-Hill, New York, 2000.
- Taha, H.A. Operations Research: An Introduction, 9/E. Prentice Hall, Englewood Cliffs, NJ, 2011.
- Ross, S.M. Introduction to Probability Models, 9/E. Academic Press, Amsterdam 2007.
Related academic journals:
- Queueing Systems, Theory and Applications