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Queueing Theory (MAE634): Διαφορά μεταξύ των αναθεωρήσεων

Queueing Theory (MAE634): Διαφορά μεταξύ των αναθεωρήσεων

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(Νέα σελίδα με '=== General === {| class="wikitable" |- ! 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 Off...')
 
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* [[Θεωρία Συστημάτων Εξυπηρέτησης (ΜΑΕ634)|Ελληνική Έκδοση]]
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=== General ===
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| See [https://ecourse.uoi.gr/ eCourse], the Learning Management System maintained by the University of Ioannina.
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=== Attached Bibliography ===
=== Attached 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.
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* Taha, H.A. Operations Research: An Introduction, 9/E. Prentice Hall, Englewood Cliffs, NJ, 2011.
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* Ross, S.M. Introduction to Probability Models, 9/E. Academic Press, Amsterdam 2007.
 
Related academic journals:
See the official [https://service.eudoxus.gr/public/departments#20 Eudoxus site] or the [https://cloud.math.uoi.gr/index.php/s/62t8WPCwEXJK7oL local repository] of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus:
* Queueing Systems, Theory and Applications
 
{{MAE634-Biblio}}

Τελευταία αναθεώρηση της 12:31, 15 Ιουνίου 2023

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) See eCourse, the Learning Management System maintained by the University of Ioannina.

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:

  • recognize and implement M/M/1 queue model and its variants
  • apply the Little's result
  • recognize and implements M/G/1 queue model
  • apply Markov processes to model queueing systems
  • apply queueing models for decision making.
General Competences
  • Working independently
  • Decision-making
  • Adapting to new situations
  • Production of free, creative and inductive thinking
  • Synthesis of data and information, with the use of the necessary technology.

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
Activity Semester Workload
Lectures 39
Independent study 78
Fieldwork (3-4 set of homework) 33
Course total 150
Student Performance Evaluation

LANGUAGE OF EVALUATION: Greek
METHODS OF EVALUATION: Final exam (100%)

Attached Bibliography

See the official Eudoxus site or the local repository of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus:

  • Δ. Φακίνος. Ουρές Αναμονής. 2η Έκδοση, Εκδόσεις Συμμετρία, 2008 (Κωδ. Εύδοξου: 45392).
  • Α. Οικονόμου. Θεωρία Ουρών Αναμονής [Προπτυχιακό εγχειρίδιο]. Κάλλιπος, Ανοικτές Ακαδημαϊκές Εκδόσεις, 2023. https://dx.doi.org/10.57713/kallipos-182(Κωδ. Εύδοξου: 121051698).
  • Α. Σταφυλοπάτης, Γ. Σιόλας. Ανάλυση Επίδοσης Υπολογιστικών Συστημάτων [Προπτυχιακό εγχειρίδιο]. Κάλλιπος, Ανοικτές Ακαδημαϊκές Εκδόσεις, 2015.https://dx.doi.org/10.57713/kallipos-453(Κωδ. Εύδοξου: 59303597).
  • I. Adan, J. Resing. Queueing Theory. Eindhoven. Notes available online https://www.win.tue.nl/jadan/queueing.pdf , 2001.
  • J. Medhi. Stochastic Models in Queueing Theory, Academic Press, New York, 2003.
  • P. Phuoc Tran-Gia, T. Hosfeld. Performance Modeling and Analysis of Communication Networks, 2017.
  • [Περιοδικό / Journal] Queuing Systems (Springer)
  • [Περιοδικό / Journal] Stochastic Models (Taylor - Francis)
  • [Περιοδικό / Journal] European Journal of Operational Research (Elsevier)
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