Tamas Wiandt Headshot

Tamas Wiandt

Professor
School of Mathematical Sciences
College of Science

585-475-5767
Office Location

Tamas Wiandt

Professor
School of Mathematical Sciences
College of Science

Education

BS, Jozsef Attila University (Hungary); Ph.D., University of Minnesota

585-475-5767

Currently Teaching

MATH-431
3 Credits
This course is an investigation and extension of the theoretical aspects of elementary calculus. Topics include mathematical induction, real numbers, sequences, functions, limits, and continuity. The workshop will focus on helping students develop skill in writing proofs.
MATH-182
4 Credits
This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. 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-501
0 Credits
The experiential learning requirement in the Applied Mathematics and Computational Mathematics programs can be accomplished in various ways. This course exists to record the completion of experiential learning activities that have been pre-approved by the School of Mathematical Sciences. Such pre-approval is considered on a case-by-case basis.
MATH-742
3 Credits
This is a continuation of Partial Differential Equations I and deals with advanced methods for solving partial differential equations arising in physics and engineering problems. Topics to be covered include second order equations, Cauchy-Kovalevskaya theorem, the method of descent, spherical means, Duhamels principle, and Greens function in higher dimensions.
MATH-251
3 Credits
This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.
MATH-199
1 Credits
This course introduces the programs within the School of Mathematical Sciences, and provides an introduction to math and statistics software. The course provides practice in technical writing.
MATH-241
3 Credits
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course.
MATH-499
0 Credits
This course is a cooperative education experience for undergraduate students majoring in Applied Mathematics, Computational Mathematics or Statistics.

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Published Article
Mochan, Ericka, C.D. Buenger, and T. Wiandt. “Coexistence ofstable ECM solutions in the Lang—Kobayashisystem.” Involve, 3.3 (2010): 259-271. Print. ≠ *
Formal Presentation
Wiandt, Tamas. “Bifurcations in the Lang-Kobayashi system.” MAA Seaway Meeting. Oswego, NY. 24 April 2010. Presentation.
Wiandt, Tamas. “Attraction Intensities for Closed Relations on Hausdorff Spaces” AMS Sectional Meeting. Syracuse, NY. 10 March 2010. Presentation.