Mathematics (Woods College) Courses (ADMT) Woods College of Advancing Studies
Subject Area  Course #  Course Title  Semester  Credit Hours  Expand 

ADMT  1004  Finite Probability  Spring  4  
Course Description
This course is a survey of applied finite probability including finite sets and partitions, enumeration, sample spaces, expectation and random variables. Also, a brief introduction to statistics. Instructor(s): The Department Prerequisites: None


ADMT  1040  Introductory College Mathematics  Fall  4  
Course Description
This course is designed to easily and comfortably reintroduce students to learn basic math skills as well as gain knowledge of important concepts in College Algebra and problem solving. It is also intended to strengthen students’ abilities to move on to other algebraic disciplines in business, social sciences, and physical sciences. Topics covered will be introduction to integers, equation solving, polynomials factoring, and rational expressions. Instructor(s): Prerequisites: None


ADMT  1041  Intermediate College Mathematics  Fall  4  
Course Description
This continuing course will complete the remaining College Algebra topics and then familiarize students to additional branches of mathematics in the fields of elementary probability and statistics. Topics covered will be linear and systems equations, inequalities, radical expressions, quadratic equations, union and intersection, and probability and statistics. Additional topics may be introduced if time permits. Instructor(s): Kenneth St. Martin Prerequisites: None


ADMT  1054  Precalculus  Fall  4  
Course Description
This one semester course treats the algebra and analytic geometry necessary for calculus and other college mathematics courses. Topics include a review of algebra, polynomial and rational functions, exponential and logarithmic functions, and trigonometry. Modeling and problem solving are emphasized throughout. Instructor(s): Prerequisites: None


ADMT  1064  Elementary Proability  Fall  4  
Course Description
This one semester course studies finite counting problems and the associated calculation of likelihood. Topics include finite sets, permutations and combinations, sample spaces, conditional probability and Bayes’s Theorem, and random variables. Instructor(s): Prerequisites: None


ADMT  1100  Calculus I  Fall  4  
Course Description
This is a course in the calculus of one variable and is suggested for Economics majors. The course is also a prerequisite for ADEC3510, Math for Economists, and for participation in the 5th year MS in Applied Economics program. Topics include a brief review of polynomials and trigonometric, exponential, and logarithmic functions, followed by discussion of limits, derivatives, and applications of differential calculus to realworld problem areas. The course concludes with an introduction to integration. Instructor(s): Prerequisites: Must have successfully completed ADMT1054 Precalculus


ADMT  1353  Statistics  Fall/Spring/Summer  4  
ADMT  2530  Statistics  Fall  4  
Course Description
Introduction to inferential statistics covering the description of sample data, probability, binomial and normal distribution, random sampling, estimation, and hypothesistesting. Instructor(s): Daniel Chambers Prerequisites: None
