College of Arts and Sciences

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.

Date posted: July 27th, 2017

Friday, July 28, 2017 (11:00 a.m. in Yost 306)

**Title: **Stochastic Integrals with respect to Tempered alpha-Stable Levy Process

**Student:** Yukun Song

**Advisor:** Wojbor Woyczynski (Professor, Case Western Reserve University)

**Abstract: **As we know, there are many equalities and inequalities for stochastic integrals. …Read more.

Date posted: April 24th, 2017

Tuesday, May 2, 2017 (3:00 p.m. in Yost 306)

**Title:** Random polytopes: An introduction and recent developments-Part II

**Speaker: **Julian Grote (PhD Student, University of Bochum and Case Western Reserve University)

**Abstract: **Random polytopes are among the most classical and popular models considered in stochastic geometry, and their study has become a rapidly developing branch of mathematics at the borderline between geometry and probability. …Read more.

Page last modified: April 24, 2017