400
Covers the theory of limits, continuity, differentiation and integration.
Credit Hours: 4
Prerequisites
MAT 299 with a grade of "C" or higher.
This course provides the basic understanding of regression analysis and its application in real life. The course focuses on both theory and application of simple and multiple linear regression, and logistic regression. Topics covered are correlation, simple and multiple linear regression, model assumptions, parameter estimation, inference on regression model and parameters, regression diagnostic, model selection, multicollinearity, linear models with qualitative predictors, logistic regression, polynomial regression, and introduction to time series analysis. Students are required to analyze real-life datasets using statistical software.
Credit Hours: 4
Prerequisites
MAT 310 or equivalent
Covers complex numbers, analytic functions, elementary functions, integrals, series, residues and poles.
Credit Hours: 4
Prerequisites
MAT 299 with a grade of "C" or higher.
Actuarial Mathematics P is intended for, but not limited to actuarial science majors. The course covers the basic principles of insurance and risk management and introduces students to the actuarial profession. Students learn most of the content of Society of Actuaries (SOA) Exam P in Probability course. This course has a problem-solving approach, where probability theory is applied to solve problems related to quantitative assessment of risk and prepare students for SOA Exam P.
Credit Hours: 2
Prerequisites
MAT 310 with a grade of "C" or higher.
Actuarial Mathematics FM is intended for, but not limited to actuarial science majors. Students learn most of the content of the Society of Actuaries (SOA) Exam FM in Financial Mathematics course. This course, in particular, has a problem-solving approach, where mathematics is applied to solve problems related to topics of interest theory, and prepares students for SOA Exam FM.
Credit Hours: 2
Prerequisites
MAT 311 with a grade of "C" or higher.
Covers the theory of groups, rings and fields.
Credit Hours: 4
Prerequisites
MAT 299 with a grade of "C" or higher.
Mathematical Statistics is intended, but not limited to mathematics and actuarial science majors. This course focuses on inferential statistics and the theory of estimation. It covers several different methods of estimation, including the method of moments and the method of maximum likelihood. Students will become familiar with the construction of confidence intervals for unknown parameters, and construction of hypothesis tests via the likelihood ratio.
Credit Hours: 4
Prerequisites
MAT 272 and
MAT 310 with a grade of "C" or higher.
Involves independent study directed by a full-time mathematics faculty member on a topic agreed upon by the faculty member and the student. May be repeated for credit if subject matter varies.
Credit Hours: 1-4
Prerequisites
Consent of department chair.
This course is an in-depth study of a topic in actuarial science, computer science, data science, mathematics, or statistics. All topics should have a strong understanding in mathematical principles. Consultation with a faculty mentor, independent research and study, and a presentation of results are required.
Credit Hours: 1
Prerequisites
Senior standing in mathematics, mathematics with computer science, data science, or actuarial science. Permission of the department chair is required.
This course provides a research experience in different topics of mathematics. Students select a specific research topic to investigate in collaboration with the instructor. The research work culminates with a presentation at an undergraduate conference, and optionally a publication.
Credit Hours: 2
Prerequisites
MAT 299 with a grade of "C" or higher. If the class is taken in place of MAT 490, then the student must have completed at least four (4) mathematics courses numbered MAT 300 or above.
This internship exposes the student to a real-life learning experience. Students are hired by an organization for the specific objective of gaining work experience in that organization. The internship might be paid or unpaid, for a variable number of credit hours (1-4). A student should work 56 hours for one credit hour. The internship should be in the actuarial field or other math-related fields, previously approved by the instructor.
Credit Hours: 1-4
Prerequisites
Junior or senior standing with a GPA of 2.25 or higher.
Subject may be chosen from point-set topology, partial differential equations, combinatorics, graph theory or other topics.
Credit Hours: 1-4