Subject: Queuing theory (17.0M504L )
Native organizations units: Department of Fundamentals Sciences
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Master Academic Studies | Information and Analytics Engineering (Godina: 1, Summer) |
| Master Academic Studies | Information and Analytics Engineering (Godina: 1, Summer) |
| Master Academic Studies | Information and Analytics Engineering (Godina: 1, Summer) |
| Master Academic Studies | Information Engineering (Godina: 1, Summer) |
Educational goal:
Enabling students to develop abstract thinking and acquire basic knowledge in the field of operational research queueing theory and stochastic processes.
Educational outcome:
Ability to use the acquired knowledge in further education in engineering subjects so as to postulate and solve mathematical models from the field of operational research, queueing theory, and stochastic processes.
Course content:
Introduction to queueing theory. Kendall notation. Queueing models. Arrivals time distributions. Service time distributions and characteristics. Departure process. Characteristics of M|M|1, M|M|n queueing process. Differential equations for probability of having n customers in the system. Difference equations for steady-state probabilities. Pollaczek - Khintchine formula. Different types of queueing processes - multiple-server case, priority queues, bulk processes, closed processes.
Teaching methods:
Lectures. Numerical and calculation practice. Consultations. Lectures are organized in combined form. The presentation of the theoretical part is followed by the corresponding examples which contribute to better understanding of the theoretical part. During the practice classes which follow the lectures, the subject matter from theory classes is supported by characteristic examples to provide further practice and better understanding In addition to lectures and practice classes there are regular consultations. There is a possibility of taking partial examinations which cover certain logical units during the course.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| Svetozar Vukadinović | Masovno opsluživanje | 1988 | Naučna knjiga, Beograd, | Serbian language |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Test | Yes | Yes | 30.00 |
| Oral part of the exam | No | Yes | 20.00 |
| Written part of the exam - tasks and theory | No | Yes | 50.00 |
Lecturers:
vanr. prof. dr Tomić Filip
Associate Professor
Lectures
vanr. prof. dr Nedović Ljubo
Associate Professor
Lectures
Asistent Ciganović Radojka
Assistant - Master
Practical classes
doc. dr Ovcin Zoran
Assistant Professor
Lectures
Faculty of Technical Sciences
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Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.