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HU Credits:
3
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Statistics
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Prof. Offer Kella
Coordinator Office Hours:
By appointment
Teaching Staff:
Prof. Offer Kella
Course/Module description:
This course is intended to develop the knowledge of the students in stochastic processes and models with an emphasis on queueing theory.
Course/Module aims:
To prepare the students for research in applied probability, in general and in queueing theory in particular
Learning outcomes - On successful completion of this module, students should be able to:
To be able to understand research papers in applied probability and to enable the students begin to develop learning and research skills in the area.
Attendance requirements(%):
no
Teaching arrangement and method of instruction:
Frontal teaching homework assignments.
Course/Module Content:
Little's formula, Renewal theory,continuous time Markov chains. Queueing theory: single server queues, open and closed networks of queues.
Required Reading:
None.
Additional Reading Material:
Soren Asmussen, Applied Probability and Queues, 2nd Edition, Springer
Grading Scheme :
Written / Oral / Practical Exam 100 %
Additional information:
Prerequisites:
52817 - Probability and Stochastic Processes or equivalent, with instructor's approval.
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