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2021 - 2022 Academic Catalog

Mathematics Minor

The Mathematics minor consists of six courses.
Course Code Course Title Credits
Core Courses
MATH205 Calculus I 4
MATH206 Calculus II 4
MATH208 Statistics 3
Choose 3 from the following:
DSCI102 Introduction to Computer Science 3
DSCI207 Cryptology 3
MATH107 College Geometry 3
MATH110X Introduction to Logic 3
MATH202 Applied Mathematics for Business 3
MATH203 Precalculus 3
MATH207 Applied Trigonometry 3
MATH212 Finite Mathematics 3
MATH215 Discrete Math 3
MATH304 Mathematics for Educators 3
MATH305 Advanced Statistics 3
MATH307 Calculus III 4
MATH320 Differential Equations 4
MATH325 Linear Algebra 3
SMGT412 Sport Analytics 3

To count toward the minor, each course must be passed with at least a C.

MATH 205 and MATH 208 may require prior coursework depending upon Math placement.

Credit Requirements for minor: 20-22 credits

MATH205 - Calculus I

This course is an introduction to limits, continuity, and methods of differentiation. Application to problems in business management and physical science is emphasized. Prerequisite: MATH 203 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed MATH 206, or any 300 level mathematics courses.

MATH206 - Calculus II

This is a continuation of Calculus I. Includes graphical and analytic integration, partial differentiation, and solving differential equations. Applications include business, biological sciences, and physical sciences. Prerequisite: MATH 205 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed MATH 320, MATH 328, or MATH 330.

MATH208 - Statistics

This is an introductory course in descriptive and inferential statistics. Topics include: data analysis, and graphical methods of describing data, measures of central tendency and variability, probability, the normal distribution, sampling distributions, confidence intervals, hypothesis testing, correlation, and regression analysis. Prerequisites: MATH 106 with a grade of C or better or demonstrated competency through placement testing and ENG 102.

DSCI102 - Introduction to Computer Science

This introduction to computer science, emphasizes problem solving and data analysis skills along with computer programming skills. Using Python, students learn design, implementation, testing, and analysis of algorithms and programs. And within the context of programming, they will learn to formulate problems, think creatively about solutions, and express those solutions clearly and accurately. Problems will be chosen from real-world examples such as graphics, image processing, cryptography, data analysis, astronomy, video games, and environmental simulation. Students get instruction from a world-class computer science professor, delivered remotely through video and interactive media and attend class for collaborative team projects to solve real-life problems. Prior programming experience is not a requirement for this course. Formerly: INTC102

DSCI207 - Cryptology

A course that covers fundamental mathematical concepts from modern algebra, number theory, and other areas of mathematics. Provides a foundation for the understanding of classical encryption systems and modern encryption methods. Emphasis on the mathematical underpinnings germane to cryptology. Prepares students for advanced study of modern cryptography. Experience implementing encryption, decryption and crypt-analytic methods on a variety of systems. Prerequisites: DSCI102, MATH208 and MATH209.

MATH107 - College Geometry

This course is an introduction to the essentials of Euclidean geometry. Topics covered include: reasoning in mathematics, the relationship between algebra and geometry, analytic geometry, proofs and constructive triangles, circles, quadrilaterals, polygons, surfaces and solids and historical notes about famous geometricians. Prerequisite: MATH 106 with a grade of C or better or demonstrated competency through placement testing.

MATH110X - Introduction to Logic

An introduction to symbolic logic, including sentential and predicate logic. Its purpose is to familiarize you with certain formal methods for representing and evaluating arguments and reasoning. These methods can be used for any subject matter. The focus is on translating English statements into symbolic notation, and evaluating arguments for validity using formal proof techniques.This course is recommended for data science students, math majors, students who are contemplating graduate school admissions tests, and for general knowledge and application (so, for instance, all computer programming is based on fundamental logic rules and applications). s

MATH202 - Applied Mathematics for Business

This course will be a “Choose Option across Management, Marketing, Entrepreneurship, Event Management, Hospitality Management, Accounting and Resort and Casino Management Majors. This course will introduce a variety of mathematical principles and techniques that emphasize applications in business and economics. Topics covered include: systems of linear equations, exponential and logarithmic functions, linear programming, as well as the development and applications of rates of change. Prerequisite: MATH106

MATH203 - Precalculus

This course prepares students for the study of calculus, physics and other courses requiring precalculus skills. Included is solving systems of equations, the analysis and graphing of linear, quadratic, polynomial, exponential, logarithmic, rational functions, the unit circle, and triangle (right and non-right) trigonometry. Prerequisite: MATH 106 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed 205, 206, or any 300 level mathematics course successfully.

MATH207 - Applied Trigonometry

This course is an in-depth study of trigonometry with attention to theory, proofs, modeling, and history. Trigonometric and related functions are used to model, analyze, and solve real-life problems. Applications are chosen from disciplines such as agriculture, architecture, astronomy, biology, business, chemistry, earth science, engineering, medicine, meteorology, and physics. Topics covered include a review of trigonometric functions, right triangle trigonometry, analytic trigonometry, vectors and dot products, complex number theory, trigonometric forms of complex numbers, exponential, logarithmic and trigonometric models, Gaussian and logistic growth models, conic sections, and polar equations of conics. Prerequisite: MATH 205 with a grade of C or better.

MATH212 - Finite Mathematics

The focus of this course is to develop mathematical models and to demonstrate the utility of various mathematical techniques that are most applicable to the creation of computer algorithms. Topics include functions and models, linear regression, solving systems of linear equations using matrices, matrix algebra and Leontief Input-Output models, linear programming (graphical and simplex methods), principle of duality, estimated and theoretical probability and Markov Chains. Prerequisite: MATH205 with a grade of C or better.

MATH215 - Discrete Math

Topics will include elementary logic and set theory, equivalence relations, functions, counting arguments, inductively defined sets, recursion, graphs and trees, Boolean algebra and combinatorial circuits, and countability arguments. Prerequisite: MATH203 with a C or better.

MATH304 - Mathematics for Educators

This course engages students in mathematical concepts through examples, investigations, and active problem-solving explorations. Content is drawn from subject matter knowledge required for elementary and early childhood licensure, with emphasis on number theory and operations. This course is for students seeking elementary or early childhood licensure.

MATH305 - Advanced Statistics

Quantitative statistical tools for modern data analysis are used across a range of disciplines and industries to guide organizational, societal and scientific advances. Using data sets from across a variety of fields, the focus will be on applications and analysis. Topics include two sample confidence intervals, Chi Square tests, multiple regression analysis, ANOVA, non- parametric tests, sampling, and simulation. Prerequisite: Math 208 or Math 209

MATH307 - Calculus III

This course is an introduction to sequences and series, parametric and polar curves, vector functions, advanced techniques of differentiation and integration. Prerequisite: MATH 206 with a grade of C or better.

MATH320 - Differential Equations

This is an introduction to the many ways of solving various types of differential equations with emphasis on theory, methods of solution and applications. Topics include solutions of first, second and simple higher order differential equations, homogeneous and non-homogeneous equations. Prerequisite: MATH 206 with a grade of B- or better.

MATH325 - Linear Algebra

This is an introductory course in linear algebra blending the requirements of theory, problem solving, analytical thinking, computational techniques, and applications. Topics include in-depth treatment of matrix algebra, linear systems, vector spaces, linear transformations, determinants. Applications and modeling of real phenomena in transportation systems, economics, connectivity of networks, and graph theory. Prerequisite: MATH 206 with a grade of C or better.

SMGT412 - Sport Analytics

Analytical techniques and quantitative methods are on the rise in many areas of business. They have increasingly made their way into the sports realm. Skills such as critical thinking, mathematical modeling, statistical analysis using Microsoft excel, predictive analytics and optimization are crucial in the data-centric realm. The class seeks to develop and refine these skills in the business application area of sports. Prerequisites: SMGT102 and MATH208.