Niels Otani
Associate Professor
School of Mathematics and Statistics
College of Science
585-475-5140
Office Location
Niels Otani
Associate Professor
School of Mathematics and Statistics
College of Science
Education
BA, University of Chicago; Ph.D., University of California at Berkeley
585-475-5140
Areas of Expertise
Applied and Computational Mathematics
Biomechanical Imaging
Cardiac Electrical Dynamics
Cardiac Electrophysiology
Chaos
Computational Biology
Computational Modeling
Differential Equations
Dynamical Systems
Image Processing
Inverse Problems
Linear Algebra
Mathematical Biology
Mathematical Modeling
Modeling and Simulation
Partial and Ordinary Differential Equations
Partial Differential Equations
PDE
Scientific Computing
Visualization and Simulation
Currently Teaching
MATH-219
Multivariable Calculus
3 Credits
This course is principally a study of the calculus of functions of two or more variables, but also includes the study of vectors, vector-valued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, and includes applications in physics. Credit cannot be granted for both this course and MATH-221.
MATH-241
Linear Algebra
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-790
Research & Thesis
0 - 9 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
In the News
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May 29, 2019
![Two head-and-shoulder shots of male researchers.]()
RIT researchers receive NSF award to develop new diagnostic tool for cardiac disease
Researchers at RIT are providing a better map to the human heart. They are developing a critical tool that will help clinicians identify damaged areas in the heart to more accurately diagnose cardiac disease.
