2nd degree (Master)
Dr. Feldheim Ohad N.
Coordinator Office Hours:
Dr. Feldheim Ohad
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.
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.
Teaching arrangement and method of instruction:
Changing topics such as: Iterative logarithm rules, Gaussian processes, discrete models for statistical mechanics, urn models, models for resource allocation.
Additional Reading Material:
An Introduction to Probability Theory and Its Applications William Feller
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 %