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HU Credits:
4
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Statistics
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Hagit Glickman
Coordinator Office Hours:
By appointment
Teaching Staff:
Ms. Laura Segal Sinha,
Dr. Hagit Glickman
Course/Module description:
The course enhances the basic knowledge that is acquired in the course “Basic Probability” (52220). The topics that were presented in the basic course will be developed and generalized. New topics will be introduced and models that form the basic toolbox of the statistician will be described.
Course/Module aims:
The main aim of this course is to solidify the knowledge in probability theory that is required of students of statistics for their subsequent studies in statistics, operational research, and applied probability. Another goal is to enhance the students’ computational skills.
Learning outcomes - On successful completion of this module, students should be able to:
1. Quote and apply the definitions that were presented in the course.
2. Solve simple probabilistic problems and carryout theoretical probabilistic computations.
3. Quote the probabilistic theorems that were described at class and produce at least one example in the context of each theorem.
4. Prove simple corollaries using the theorems.
Attendance requirements(%):
No attendance requirement
Teaching arrangement and method of instruction:
Lecture and exercise.
Course/Module Content:
1. Probability and the distribution of a single random variable
2. The joint distribution of several random variables
3. Multinormal distribution
4. An introduction to limit theorems and to stochastic processes
Required Reading:
Class notes.
Additional Reading Material:
1. A first course in statistics, 8th edition, by Sheldon Ross.
2. Introduction to Probability, second edition, by Bertsekas and Tsitsiklis
Grading Scheme :
Written / Oral / Practical Exam / Home Exam 90 %
Mid-terms exams 10 %
Additional information:
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