Ibrahima Sow’s Profile

Student
Active 3 years, 10 months ago
Ibrahima Sow
Display Name
Ibrahima Sow
Major Program of Study
Mathematics

My Courses

MAT 4880 Math Modeling II, Spring 2020

MAT 4880 Math Modeling II, Spring 2020

The study of continuous-time and discrete-time nonlinear dynamic models. Provides examples of chaotic behavior of solutions of some dynamic systems. Course Avatar and Header Image created at logomakr.com

2019 Spring – MAT 2680 Differential Equations – Reitz

2019 Spring – MAT 2680 Differential Equations – Reitz

A differential equation is an equation that relates a function to one or more of its derivatives. – The above rather boring description does little to convey just how fundamental, widespread, and amazingly effective differential equations are in describing the world around us. – Examples: Anything in motion. Also, many things that are not in motion. Also, many additional things to which the word “motion” does not really apply. – Further examples: spaceships in orbit, populations growing and shrinking, a cup of coffee slowly cooling, springs bouncing, financial markets rising and falling, electrical current flowing through a circuit, ocean waves, sound waves, light waves, vibrations in musical instruments and airplane wings and suspension bridges, – More examples: Pretty much everything. Topics include methods of solving ordinary differential equations and applications to various problems. Course Avatar created at logomakr.com .

MAT 1630 Introduction to Computational Science, FA2019

MAT 1630 Introduction to Computational Science, FA2019

A project-based introduction to computational thinking and problem solving. Covers a wide range of topics, including data visualization, statistical techniques, simulations of dynamical systems, computational techniques to understand data, using regression to fit models to data, as well as an introduction to some more advanced topics: Monte Carlo simulations, optimization, dynamic programming, image processing, natural language processing, geospatial data analysis and current data science.

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