|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
This course covers data analysis, sampling, probability, standard methods of statistical inference, including ttests, chi-square tests, and nonparametric methods. Applications include the use of a statistical computer package. Prerequisite: MAT 2317.
-
3.00 Credits
This course includes simple and multiple regression, model selection procedures, analysis of variance, simultaneous inference, and the design and analysis of experiments. Applications include the use of a statistical computer package. Prerequisite: MAT 4332.
-
3.00 Credits
This course is designed for students preparing to teach secondary school mathematics. Innovative techniques to be used in the teaching of mathematics and assessment procedures will be discussed and developed. No credit is allowed for work of less than C quality. (The course is three periods per week.) Prerequisite: Admission to teacher education program. (Cross-listed with EDU 4352)
-
3.00 Credits
This course develops some standard operations research techniques including model formulation, PERT problems, transportation problems, linear programming, dynamic programming, Markov analysis, and queuing models. Prerequisites: MAT 3311 and CSC 1311.
-
3.00 Credits
This course includes probability, random variables and their distributions, mathematical expectation, moment generating functions, and sampling distributions. Prerequisite: MAT 3317.
-
3.00 Credits
This course is a continuation of MAT 4356; Mathematical Statistics I. Topics include estimation and hypothesis testing, applications of statistical inference, introduction to regression, and correlation. Prerequisite: 4356.
-
3.00 Credits
This course studies computer science theory and the mathematical foundations of digital computers. Its topics include the family of computing machines (finite-state, push-down and Turing), the Chomsky hierarchy of languages, decidability, unsolvable problems, and applications of automata to areas of syntactic analysis, modeling, and artificial intelligence. Prerequisites: CSC 4340 and MAT 2316, or consent of instructor. (Cross-listed with CSC 4386)
-
3.00 Credits
This course contains lectures, dialogues, and readings in mathematical topics in order to reinforce the knowledge and skills learned in core courses thus far. This course provides the opportunity for students to look at applications and problems in order to prepare for proficiency and licensure exams such as the GRE or first actuarial exam. The students will be asked to read journal articles and give summary presentations in class. Prerequisite: MAT 4311.
-
3.00 Credits
This course includes readings and weekly student lectures or student-led discussions on a variety of mathematical topics determined by the interest of the students and the instructor. Emphasis will be placed on independent research and clear exposition. A paper is required. Prerequisite: MAT 4387.
-
3.00 Credits
(See the course description for the Cooperative Education course number 4391.)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|