Mathematical ideas for understanding life in our culture; topics include probability, logical thinking, and problem solving with minimal use of algebra. Prerequisite: Two years of college-preparatory mathematics or MS107.

Linear and quadratic functions; equations and inequalities; transformations; systems of linear equations and inequalities; polynomial, rational, exponential, logarithmic and trigonometric functions, and graphing; conic sections. Prerequisite: Three (3) years of college-preparatory math or MS111.

Functions, limits, continuity, derivatives, antiderivatives, Fundamental Theorem of Calculus, solids of revolution. This course has five contact hours per week. Prerequisites: Three and one-half years of college-preparatory math, including trigonometry or MS114.

Designed primarily for students who have had no more than two years of high-school mathematics or its equivalent. Includes the fundamental concepts of descriptive and inferential statistics. Prerequisite: MS107. This course is not accepted for the General Education Mathematics requirement.

Clearly teaching young children mathematics is complex. Teaching is more than adding and subtracting, it is what teachers say, do and think with learners. A mathematics education course is one that merges mathematical content knowledge and pedagogical knowledge to design mathematical pedagogical knowledge that focuses on the whole learner with specific attention to PreK-3 aged student’s needs (cognitive, physical, behavioral, social and emotional). As an educator, students will focus on promoting participation of ALL learners through the development of a socially healthy prek-3 grade mathematical community. Students will be introduced to reflective thinking to understand how their own biases, content knowledge and past experiences will impact their instruction. The major mathematical content areas covered in this course will be counting and cardinality; Operations (addition, subtraction and foundational ideas for multiplication); initial place value and regrouping concepts; measurement and data (time, money, relative positions, lengths in metric and standard);and Geometry (naming shapes, shape composition, shapes in the real world, composition/decompositions of shapes, 2D and 3D shapes). This course will expose students to various curricular resources, assessment tools, and instructional technology to promote active engagement and give direction to instruction. A minimum of 12 clinical experience hours are required for this course. Prerequisites: EN201 & MS110

Vector and solid geometry, vector-valued functions, calculus of curves in space, functions of several variables, partial differentiation, multiple integration, and vector analysis. Prerequisite: MS122.

Develop basic techniques and modes of reasoning of combinatorial problem solving; describe and analyze the algebraic structures of certain set-relation systems; illustrate and analyze the wide variety of applications of discrete mathematics. The topics to be covered include mathematical induction, set theory, relations and functions, combinatorics, probability, graph theory, and mathematical logic. Prerequisite: MS121 or department approval.

Designed for students who have had at least three (3) years of high-school mathematics or its equivalent. Topics to be covered include frequency distributions, variability, probability, sampling, estimation, testing, hypotheses, analysis of variance, regression and correlation analysis, and nonparametric tests. (Course counts as three (3) semester hours toward a minor, but only one (1) semester hour toward a major.) Prerequisite: MS114.This course is not accepted for the General Education Mathematics requirement.

Required for elementary certification. Topics appropriate for grades K-8 include: elementary algebraic preparation including linear, quadratic and exponential, probability and statistics. Emphasis is on constructing understanding through experience: exploring, extrapolating, and explaining concepts and relationships. Problem solving, both in groups and individually, is a major theme. Tutoring and field experiences required. Prerequisites: EN201; cumulative grade point average of 2.5 and a minimum grade of C in MS260.

The course is designed to provide participants with a basic understanding of common statistical computing approaches and how to apply those approaches to common industry and research scenarios. Following completion of the course, students will possess the requisite programming skills to function as a programmer analyst in an analytical work environment. Topics include: importing/exporting data in various formats; character and numeric manipulation; merging; subsetting, and combining data sets; effective programing with common data structures; and producing high quality graphics and reports for end users. The free and open source R programming language will be used extensively throughout the course to teach fundamental programming concepts and applied statistical approaches. Introductory Statistics with R {Daalgard 2008} will serve as a supplemental text to aid in retention and understanding of the topics covered.

Encoding (RSA, ElGamal and elliptic curves) and decoding methods (Miller- Rabin, Dixon and Pollard) from 1974 to the present. Electronic signatures and hash functions. We will study the math behind these ideas and write programs which perform the encoding and decoding. Prerequisite: MS309.

Sets, functions, equivalence relations, integers, mathematical induction, modular systems, permutations, groups, rings, fields, isomorphisms,and homomorphisms. Prerequisite: MS122, MS232 (MS240 recommended)

The study of regression techniques and applications in statistics. Topics include linear regression, analysis of variance (ANOVA), multiple regression, analysis of covariance (ANCOVA), and linear hypotheses. Prerequisites: MS232 and at least one of MS252 and MS494. MS282 is recommended.

Provides a detailed examination of the pedagogy for teaching the mathematical content and process strands of secondary mathematics curricula and of appropriate instructional and assessment strategies. Tutoring component required. Prerequisite: EN201 (can be taken concurrently with MS375); MS122; cumulative grade point average of 2.5.This course is not accepted for the General Education Mathematics requirement.

Individually-negotiated program of readings on selected topic established by contract between instructor and student. Contracts filed with Registrar. Prerequisite: Department approval.

Properties of real numbers, Cauchy sequences, series, limits, continuity, differentiation, Riemann integral, sequences, and series of functions. Prerequisite: MS231.

An application of foundational data analytics skills to a real-life project. The course will include explorations of specific examples of data analysis problems that will serve to exercise and integrate students’ backgrounds in linear algebra, applied statistics, probability, and programming. Additionally, students will become familiar with good data visualization practices using appropriate software as well as other software tools for managing data. The course will culminate with an analytics project and presentation using real-world data. Prerequisites: CS180, MS232, MS252, and junior or senior standing.

Probability theory and distributions, large and small sample theory. Prerequisite: MS231 or department approval.

An in-depth exploration of career options for mathematics majors. Each student, with the instructor’s assistance, will formulate and carry out a plan to gain first-hand knowledge of the kinds of work mathematics majors do after college. The knowledge will come by the way of job shadowing, classroom observations, attendance at career fairs, graduate school visits, conference participation, or other opportunities that will give students the opportunity to see how a degree in mathematics might be used in the world.