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Course Information for Math 636 This course develops basic concepts of mathematical modeling at the first year graduate level. Mathematical modeling uses a variety of mathematical techniques applied to various fields of science. My course will primarily have applications from the field of biological sciences, but other applications from physics and chemistry are included. The mathematical techniques will range from algebraic fitting techniques, dynamical systems, differential equations, linear algebra, probability theory, Monte Carlo simulations, and data analysis. Computers are used for most of the modeling examples with MatLab, Maple, and Excel, being the primary computer tools demonstated. Details of the course and timelines are available on the HW Assignment page. Faculty Teaching Math 636  Fall 2017
Math 254 and 337 or Math 342A and 342B or Eng 280. No Textbook Lecture Notes
are available online. Lab
Manual (MatLab and Maple) and Lab
Manual (Excel and Maple) are being developed with much of
the first part completed and online. Course Assessment and Grading Grading weighting is subject to change depending on how the class is proceeding.
The grade divisions are typically 85100 is an A, 7385 is a B, 6273 is a C, 5062 is a D, and below 50 is an F with + or  assigned near the boundary (within 3%). The Syllabus has details on course policies. For questions concerning the webpage contact Joseph Mahaffy.


Copyright © 2017 Joseph M. Mahaffy. 