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HU Credits:
2
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Mathematics
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Dr. Feldheim Ohad N.
Coordinator Office Hours:
By appointment
Teaching Staff:
Dr. Feldheim Ohad
Course/Module description:
A Seminar in advanced topics in probability and its application for modeling stochastic processes. The seminar will be broken into several series of lectures, each dedicated to a separate topic.
Course/Module aims:
See learning outcomes
Learning outcomes - On successful completion of this module, students should be able to:
Acquaintance with recent research.
Application of tools from probability theory to well studied models.
Preparation for research in probability.
Acquiring the ability to reach advanced texts in probability.
Attendance requirements(%):
50%
Teaching arrangement and method of instruction:
Lecture
Course/Module Content:
Changing topics such as: Iterative logarithm rules, Gaussian processes, discrete models for statistical mechanics, urn models, models for resource allocation.
Required Reading:
none.
Additional Reading Material:
An Introduction to Probability Theory and Its Applications William Feller
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 85 %
Participation in Tutorials 15 %
Project work 0 %
Assignments 0 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
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