Department of Mathematics, Applied Mathematics and Statistics

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The Department of Mathematics, Applied Mathematics and Statistics at Case Western Reserve University is an active center for mathematical research. Faculty members conduct research in algebra, analysis, applied mathematics, convexity, dynamical systems, geometry, imaging, inverse problems, life sciences applications, mathematical biology, modeling, numerical analysis, probability, scientific computing, stochastic systems and other areas.

The department offers a variety of programs leading to both undergraduate and graduate degrees in traditional and applied mathematics, and statistics. Undergraduate degrees are Bachelor of Arts or Bachelor of Science in mathematics, Bachelor of Science in applied mathematics, and Bachelor of Arts or Bachelor of Science in statistics. Graduate degrees are Master of Science and Doctor of Philosophy. The Integrated BS/MS program allows a student to earn a Bachelor of Science in either mathematics or applied mathematics and a master’s degree from the mathematics department or another department in five years. The department, in cooperation with the college’s teacher licensure program and John Carroll University, offers a program for individuals interested in pre-college teaching. Together with the Department of Physics, it offers a specialized joint Bachelor of Science in Mathematics and Physics.

 

Analysis and Probability Seminar-September 27, 2016

Date posted: September 21st, 2016

Tuesday, September 27, 2016 (3:00 p.m. in Yost 306)
Title: Occupation times of discrete-time fractional Brownian motion
Speaker: Manfred Denker (Professor, Mathematics Department, Penn State University)
Abstract: For discrete-time fractional Brownian motion with Hurst parameter greater than 1/4 I will prove a conditional local limit theorem and show how this theorem together with infinite ergodic theory can be used to investigate the occupation times of the process. …Read more.

Colloquium-September 30, 2016

Date posted: September 21st, 2016

Friday, September 30, 2016 (3:15 p.m. in Yost 306)
Title: Universality laws for randomized dimension reduction
Speaker: Joel Tropp (Professor, California Institute of Technology)
Hosted by Mark Meckes
Abstract: Dimension reduction is the process of embedding high-dimensional data into a lower dimensional space to facilitate its analysis. …Read more.

Page last modified: September 21, 2016