Maurino Bautista
Professor
School of Mathematics and Statistics
College of Science
585-475-6122
Office Hours
11:00AM - 12:00PM TR 2:00PM - 3:00PM MW(Zoom Only)
Office Location
Office Mailing Address
School of Mathematical Sciences 85 Lomb Memorial
Maurino Bautista
Professor
School of Mathematics and Statistics
College of Science
Education
BS, Ateneo de Manila University (Philippines); MS, Ph.D., Purdue University
Bio
Ph.D. in Mathematics - Purdue University, 1984
MS in Mathematics - Purdue University, 1980
BS in Mathematics Honors - Ateneo de Manila University, 1975
Fulbright Fellow - Purdue University, 1978-81
585-475-6122
Areas of Expertise
Inverse Problems
Acoustic Scattering
Partial Differential Equations
Computational Methods
Mathematical Modeling
Select Scholarship
Journal Paper
Bautista, Maurino P., et al. "Statistical-Thermodynamic Model for Light Scattering from Eye Lens Protein Mixtures." The Journal of Chemical Physics 146. 5 (2017): 1-53. Web.
Bautista, Maurino P., et al. "Sticky-Sphere Mixture Model for Light Scattering from Concentrated Eye Lens Protein Mixtures." Biophysical Journal 104. 2 (2013): 392. Web.
Full Length Book
Troutman, John L. and Maurino P. Bautista. Boundary Value Problems of Applied Mathematics. Second ed. Mineola, NY: Dover Publications, 2017. Print.
Bautista, Maurino P. Instructor’s Maple Manual for Differential Equations. First ed. Boston, MA: Pearson Addison-Wesley Publishing, 2012. Print.
Invited Article/Publication
Bautista, Maurino, Donna Beers, and Mary Goodloe. "Who Is Really In Charge? An Application of Graph and Network Theory to Analyzing Social Networks." CCICADA Education Modules. (2015). Web.
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-233
Linear Systems and Differential Equations
4 Credits
This is an introductory course in linear algebra and ordinary differential equations in which a scientific computing package is used to clarify mathematical concepts, visualize problems, and work with large systems. The course covers matrix algebra, the basic notions and techniques of ordinary differential equations with constant coefficients, and the physical situation in which they arise.
MATH-326
Boundary Value Problems
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.