2022–23–A
Oct 23, 2022—Jan 20, 2023
Courses
Discrete Mathematics
Dr. Gili Golan
Infinitesimal Calculus 1
Prof. Ilan Hirshberg
Linear algebra 1
Dr. Yaar Solomon
Algebraic Structures
Prof. Ilya Tyomkin
Fundamentals of Measure Theory(*)
Prof. Victor Vinnikov
Logic
Dr. Moshe Kamensky
Probability
Prof. Tom Meyerovitch
Theory of Numbers
Prof. Fedor Pakovich
Introduction to Commutative Algebra(*)
Prof. Dmitry Kerner
Integral Transforms and Partial Differential Equations
Prof. Arkady Poliakovsky
Introduction to Analysis
Dr. Izhar Oppenheim
Geometric infinitesimal calculus 1
Dr. Daniel Disegni
Introduction to Topological Dynamics
Prof. Yair Glasner
Basic Concepts in Modern Analysis(#)
Dr. Eli Shamovich
Algebraic Geometry 1
Prof. Amnon Yekutieli
יום ד 14:00 - 12:00 in גרוסמן/ דייכמן [58] חדר 201 או דרך זום
LIE ALGEBRAS AND THEIR REPRESENTATIONS
Prof. Nadya Gurevich
Introduction to Probability and Statistics A
Dr. Luba Sapir
יום ה 17:00 - 15:00 in בניין אולמות להרצאות [92] חדר 002
Introduction to Differential Equations B
Introduction to Differential Equations C
Dr. Matan Ziv-Av
Ordinary Differential Equations for Chemistry Students
Dr. Natalia Gulko
יום ג 17:00 - 15:00 in בנין 90 (מקיף ז’) [90] חדר 136
The Mathematics Of Systms 1
Dr. Natalia Karpivnik
Linear Algebra for Biotechnology
Dr. Natalia Gulko
יום א 17:00 - 14:00 in בנין 90 (מקיף ז’) [90] חדר 230
Partial Differential Equations For Biotechnology
Ms. Tamar Pundik
יום א 12:00 - 09:00 in גולדברגר [28] חדר 202
Ordinary Differential Equations for Industrial Engineering and Management
Dr. Irena Lerman
יום ג 11:00 - 08:00 in קרייטמן-זלוטובסקי(חדש) [34] חדר 102
Fourier analysis and orthonormal systems for physics
Dr. Yosef Strauss
יום ה 18:00 - 15:00 in קרייטמן(אוד.) [26] חדר 5
Applied probability and statistics for physics
Dr. Yosef Strauss
יום ג 11:00 - 08:00 in גולדברגר [28] חדר 302
Probability 1 for statisticians
Prof. Ilan Hirshberg
יום ד 17:00 - 14:00 in בניין אולמות להרצאות [92] חדר 001
Notes
- Courses marked with (*) are required for admission to the M.Sc. program in Mathematics.
- The M.Sc. degree requires the successful completion of at least 2 courses marked (#). See the graduate program for details
- The graduate courses are open to strong undergraduate students who have a grade average of 85 or above and who have obtained permission from the instructors and the head of the teaching committee.
- Please see the detailed undergraduate and graduate programs for the for details on the requirments and possibilities for complete the degree.