Yosef Zlochower Headshot

Yosef Zlochower

Professor

School of Mathematics and Statistics
College of Science

5854756103
Office Hours
Mondays: 9am to 10am 5pm to 6pm Wednesdays: 9am to 10am Fridays: 9am to 10am Other times by appointment
Office Location

Yosef Zlochower

Professor

School of Mathematics and Statistics
College of Science

Education

BS, Ph.D., University of Pittsburgh

5854756103

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Areas of Expertise

Currently Teaching

ASTP-720
3 Credits
This course surveys the different ways that scientists use computers to address problems in astrophysics. The course will choose several common problems in astrophysics; for each one, it will provide an introduction to the problem, review the literature for recent examples, and illustrate the basic mathematical technique. In each of these segments, students will write their own code in an appropriate language.
ASTP-790
1 - 3 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
ASTP-791
0 Credits
Continuation of Thesis
ASTP-861
3 Credits
This course is the second in a two-course sequence that introduces Einstein’s theory of General Relativity as a tool in modern astrophysics. The course will cover various aspects of General Relativity, with applications to situations in which strong gravitational fields play a critical role, such as black holes and gravitational radiation. Topics include advanced differential geometry, generic black holes, energy production in black-hole physics, black-hole dynamics, neutron stars, and methods for solving the Einstein equations. The target audience is graduate students in the astrophysics, physics, and mathematical modeling (geometry and gravitation) programs.
ASTP-890
1 - 6 Credits
Dissertation research by the candidate for an appropriate topic as arranged between the candidate and the research advisor.
MATH-182
4 Credits
This is the second in a two-course sequence. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates.
MATH-326
3 Credits
This course provides an introduction to boundary value problems. Topics include Fourier series, separation of variables, Laplace's equation, the heat equation, and the wave equation in Cartesian and polar coordinate systems.
MATH-411
3 Credits
This course covers numerical techniques for the solution of nonlinear equations, interpolation, differentiation, integration, and the solution of initial value problems.
MATH-751
3 Credits
Students in this course will study high-performance computing as a tool for solving problems related to mathematical modeling. Two primary objectives will be to gain experience in understanding the advantages and limitations of different hardware and software options for a diverse array of modeling approaches and to develop a library of example codes. The course will include extensive hands-on computational (programming) assignments. Students will be expected to have a prior understanding of basic techniques for solving mathematical problems numerically.
MATH-789
1 - 6 Credits
This is a master-level course on a topic that is not part of the formal curriculum. This course is structured as an ordinary course and has specific prerequisites, contact hours, and examination procedures.
MATH-790
0 - 9 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
MATH-791
0 Credits
Continuation of Thesis

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