Seshavadhani Kumar Headshot

Seshavadhani Kumar

Professor

School of Mathematics and Statistics
College of Science

585-475-2547
Office Location

Seshavadhani Kumar

Professor

School of Mathematics and Statistics
College of Science

Education

BS, MS, University of Madras (India); Ph.D., University of Delaware

585-475-2547

Currently Teaching

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-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.