Donald Young’s Profile

Student
Active 3 years, 10 months ago
Donald Young
Display Name
Donald Young
Major Program of Study
Computer Engineering Technology

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

MEDU1010 Foundations of Math Ed, FA2018

MEDU1010 Foundations of Math Ed, FA2018

This course examines the historical, philosophical, and sociological foundations underlying the development of American educational institutions. The role of the schools, the aims of education, diverse learners, the mathematics curriculum in New York State, legal principles that affect education, and the role of state, local, and federal agencies will be emphasized.

MAT 3770 Math Modeling I, Fall 2019

MAT 3770 Math Modeling I, Fall 2019

The study of different types of optimization problems arising in different fields of business and industry. Examples are provided on sensitivity analysis of parameters of a model and calculating shadow prices. Course Avatar and Header Image created at logomakr.com

2018 Fall – MAT 2071 Proofs and Logic – Reitz

2018 Fall – MAT 2071 Proofs and Logic – Reitz

This course is designed to prepare students for an advanced mathematics curriculum by providing a transition from Calculus to abstract mathematics. The course focuses on the processes of mathematical reasoning, argument, and discovery. Topics include propositional and first order logic, learning proofs through puzzles and games, axiomatic approach to group theory, number theory, and set theory, abstract properties of relations and functions, elementary graph theory, sets of different cardinalities, and the construction and properties of real numbers. Avatar and Header images created with Hipster Logo Generator http://www.hipsterlogogenerator.com/

MAT 3772 Stochastic Models, Fall 2019

MAT 3772 Stochastic Models, Fall 2019

The use of discrete and continuous distributions to construct deterministic and stochastic simulation models. Stochastic simulations may include Markov Processes, M/G/1 Queuing Systems, Monte Carlo Simulation and Analytic Simulation.

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