# Mathematics B.A./B.S. Course Descriptions

View flowchart for recommended course sequences.

## Mathematics Courses (*Statistics Courses)

### MATH 101 College Algebra** - 3 credits

Topics include real numbers, factoring, rational expressions, exponents and radicals, solving equations and inequalities (including linear, quadratic, fractional, radical, and absolute value), non-trigonometric functions (linear, polynomial, rational, root, absolute value, exponential, logarithmic, composition), and graphing. Students must register concurrently for a section of MATH 101R. Prepares students for Math 111 - Calculus for Non-Science Students. Not sufficient preparation for Math 115 - Calculus I.

### MATH 101R College Algebra Recitation - Must be taken with Math 101

The fundamental principles and concepts from the MATH 101 College Algebra Lecture are reinforced in this class through problem solving. Graded work will be administered both in lecture and recitation. This course must be taken concurrently with MATH 101.

### MATH 104 Calculus with College Algebra and Trigonometry I - discontinued Fall 2018** - 4 credits

Initial topics of MATH 115 with topics from algebra and trigonometry integrated as needed. Credit is not allowed for both MATH 104/101, MATH 104/111, or MATH 104/115.

### MATH 105 College Algebra and Trigonometry - beginning Fall 2018** - 4 credits

Topics include real numbers, factoring, rational expressions, exponents and radicals, solving equations and inequalities (including linear, quadratic, fractional, radical, and absolute value), functions (including linear, polynomial, rational, root, absolute value, exponential, logarithmic, trigonometric, composition), and graphing. Prepares students for Math 115 - Calculus I. Credit is not allowed for both MATH 101 and MATH 105.

### MATH 111 Calculus for Non-science Students** - 3 credits

Limits, continuity, and differentiation of algebraic, exponential and logarithmic functions. Sum, product, quotient and chain rule formulas for differentiation. Logarithmic and implicit differentiation. Graphing using the first and second derivative. Application of the derivative to optimization and related rates problems. Indefinite and definite integrals. Application of the definite integral to area problems. Credit is not allowed for both MATH 111/104, MATH 111/114, or MATH 111/115. Prerequisite: grade of "C" or better in MATH 101, or evidence of mastery of college algebra skills.

### MATH 114 Calculus with College Algebra and Trigonometry II - discontinued Spring 19** - 4 credits

Remaining topics of MATH 115 with topics from algebra and trigonometry integrated as needed. Credit is not allowed for both MATH 114/111, MATH 114/115.

### MATH 115 Calculus I - 4 credits

Limits, continuity, and differentiation of algebraic, exponential, logarithmic, trigonometric, and inverse trigonometric functions. Sum, product, quotient and chain rule formulas for differentiation. Logarithmic and implicit differentiation. Linearization and differentials. Indeterminate forms and L’Hospital’s Rule. Graphing using the first and second derivative. Application of the derivative to optimization and related rates problems. Indefinite and definite integrals. Substitution rule for integration. Application of the definite integral to area problems. Credit is not allowed for both MATH 115/104, MATH 115/114, or MATH 115/111. Prerequisite: grade of "C" or better in MATH 105, or evidence of mastery of college algebra skills and trigonometry

### MATH 116 Calculus II - 4 credits

Applications of integration (areas, volume, work, arc length, surface area), additional techniques of integration, improper integrals, infinite sequences and series, including tests of convergence, power series, Taylor and Maclaurin series. Prerequisite: grade of "C" or better in MATH 114 OR MATH 115.

### MATH 125 Fundamentals of Statistics ** - 3 credits

Exploratory data analysis and statistical inference including graphical summaries of data, sampling distributions, confidence intervals, and hypothesis testing. Credit not allowed for both MATH 125 and MATH 225.

### MATH 135 Discrete Mathematics* - 3 credits

Sets, functions, relations, partial order, methods of propositional logic, introduction to predicate logic, counting, recurrence relations, asymptotic analysis, techniques of proof writing including induction.

### MATH 210 Matrix Algebra* course discontinued - 3 credits

Computational aspects of systems of linear equations, matrix operations, determinants, vector spaces and subspaces, linear transformations, change of basis, eigenvalues and eigenvectors, diagonalization, and orthogonality. Prerequisite: grade of "C" or better in MATH 116. Credit is not allowed for both MATH 210 and MATH 310.

### MATH 215 Calculus III - 4 credits

Parametric equations, polar coordinates, calculus of functions of several variables and vector-valued functions, including double and triple integrals using various coordinate systems. Prerequisite: grade of "C" or better in MATH 116.

### MATH 225 Introduction to Biostatistics * - 3 credits

Data classification and experimental design, graphical summaries of data, descriptive statistics, basic probability concepts, probability applications. (sensitivity, specificity, relative risk, odds ratio), probability distributions, sampling distributions, confidence intervals, one-sample hypothesis testing. Credit is not allowed for both MATH 125/225. Prerequisite: Evidence of college level algebra skills.

### MATH 250 Foundations of Higher Mathematics - 3 credits

An introduction to higher-level mathematics. Topics include mathematical logic, sets, relations, functions, number systems and countability. The course emphasizes mastery of proof writing techniques including conditional, biconditional, contradiction, induction, set-theoretic, and existence and uniqueness proofs. Prerequisite: grade of "C" or better in MATH 116.

### MATH 301 Introduction to Probability and Statistics I - 3 credits

Univariate and multivariate probability distributions of discrete and continuous random variables, mathematical expectation, limit theorems, random variable transformations, moment generating functions. Prerequisite: grade of "C" or better in MATH 116.

### MATH 302W Introduction to Probability and Statistics II - 3 credits

Sampling distributions of random variables, confidence intervals, and hypothesis testing for one and two sample settings. ANOVA, simple linear regression, estimation techniques, properties of estimators, likelihood ratio test. Prerequisite: grade of "C" or better in MATH 301. Credit is not allowed for both MATH 302W and MATH 335.

### MATH 308 Numerical Analysis - 3 credits

Linear systems, interpolation, functional approximation, numeric differentiation and integration, and solutions to non-linear equations. May be counted as either mathematics or computer science, but not both. Prerequisites: grade of "C" or better in COSC 150, COSC 160, or COSC 170 and in Math 116. **Offered spring only.**

### MATH 310 Linear Algebra - 3 credits

Systems of linear equations, matrix operations, determinants, vector spaces and subspaces, linear transformations, change of basis, eigenvalues and eigenvectors, diagonalization, and orthogonality. Prerequisites: grade of "C" or better in MATH 116. Credit is not allowed for both MATH 210 and MATH 310.

### MATH 311 Number Theory - 3 credit

Divisibility, congruences, quadratic residues, Diophantine equations, and arithmetic functions. Prerequisite: grade of "C" or better in MATH 250.

### MATH 314 Differential Equations - 3 credits

First-order ordinary differential equations, theory and solutions of higher order linear ordinary differential equations, the Laplace transform, numerical solutions of differential equations, applications to physical sciences and engineering. Prerequisite: grade of "C" or better in MATH 116.

### MATH 317 Mathematical Modeling - 1 credits

The goal of this course is for students to address an important issue within the community using mathematics and computation. Students will identify a specific problem of interest to the community partner and determine the appropriate mathematical or computational tools needed to explore solutions. In small groups and under the guidance of the instructor, students will approach the community-based problem by gathering the necessary data, constructing an appropriate model, and analyzing model output in ways meaningful to the community. All groups will present their results in a formal presentation at the end of the semester. Additionally, there will be opportunities for students to present their work at local research symposia. Perequisites: grade of "C" or better in MATH 314 (this course can be taken concurrently with MATH 314) and in one of the following programming courses COSC 150, COSC 160, or COSC 170 or BMED 110.

### MATH 325W Applied Statistics with Regression - 3 credits

TThis course begins with a review of inferential statistics. Emphasis on data collection methods, stating hypotheses, confidence intervals and bootstrapping methods for estimating parameters are introduced. Both traditional and re-sampling methods are demonstrated for testing hypotheses. Additional topics covered are graphical methods for exploring distributions and determining outliers, 1-way and 2- way analysis of variance models using a linear models approach, and linear and multiple regression methods. JMP software is used for demonstrating methods. Prerequisites: grade of "C" or better in MATH 225 or in MATH 301.

### MATH 330W Fundamentals of Geometry - 3 credits

Euclidean and Non-Euclidean geometry from both the synthetic and metric axiomatic approach. Prerequisite: grade of "C" or better in MATH 250.

### MATH 335 Biostatistics II * - 3 credits

This course is a continuation of MATH 225 (Introduction to Biostatistics). Topics include two-sample hypothesis testing, analysis of variance, correlation methods, simple linear regression, multiple regression, logistic regression, chi-square tests, and nonparametric statistical procedures. Prerequisite: grade of "C" or better in MATH 225. Credit is not allowed for both MATH 302W and MATH 335.

### MATH 340 Problem Solving Seminar - 1 credits

Solution and discussion of problems from the Putnam Examination and other sources. Completion of or concurrent enrollment in MATH 215 or permission of instructor.

### MATH 350W History of Mathematics - 3 credits

Multicultural survey of the history of mathematics from the development of number systems to the development of calculus. Contributions of ancient Greek and western mathematics are emphasized, but those of Egyptian, Babylonian, Islamic, Hindu, and Chinese cultures are also discussed. Prerequisite: grade of "C" or better in MATH 311.

### PHYS 350 Mathematical Methods in Physics - 3 credits

A variety of theoretical methods that are useful for general problem-solving in advanced science and engineering courses: complex numbers and functions of a complex variable, Fourier series and transforms, Laplace transforms, Legendre, Laguerre and Hermite polynomials, calculus of variations, special functions and tensor analysis or other content as determined appropriate in support of upper level physics coursework. Prerequisites: MATH 215, MATH 210 (can be taken concurrently) and MATH 314 (can be taken concurrently).

### MATH 366 Operations Research - 3 credits

The course will provide an introduction to the background of operations including example problems and a brief history. An extensive discussion of the theory and application of linear programming will follow. Other topics will include nonlinear programming, continuous and discrete probability models, dynamic programming, game theory and transportation and network flow models. Prerequisite: grade of "C" or better in MATH 310.

### MATH 371 Optimization - 3 credits

Linear programming, transportation problem, network flow, nonlinear convex programming, dynamic programming, geometric programming, game theory, and gradient methods. Prerequisites: grade of “C” or better in MATH 215 or equivalent and MATH 310.

### MATH 373 Statistical Computing - 3 credits

Generating pseudo-random numbers, Monte Carlo integration, simulation, Bayesian inference, Gibbs sampling, Metropolis sampling, Metropolis-Hastings sampling, the E-M algorithm, multivariate Newton-Raphson maximization. Prerequisites: grade of "C" or better in MATH 302W, and COSC 150 or COSC 160.

### MATH 390 Internship - 1 to 3 credits

Internship suitably related to the program as determined by the Faculty Advisor and dependent on the approval of the Department. May be repeated for a total of up to three credits. Prerequisites: grade of "C" or better in MATH 215 and in MATH 310.

### MATH 410 Advanced Linear Algebra - 3 credits

This is a second course in linear algebra that provides an in-depth study of fundamental concepts of the subject. Topics include general vector spaces, eigenvalues and eigenvectors, inner products and orthogonality, the Gram-Schmidt process, QR factorization, singular value decomposition, the Spectral Theorem, and least squares and the generalized inverse. Prerequisites: grade of "C" or better in MATH 250 and MATH 310.

### MATH 411W Abstract Algebra I - 3 credits

An introduction to algebraic structures with emphasis on groups, including subgroups, abelian and cyclic groups, permutation groups, cosets, and quotient groups, as well as homomorphisms and isomorphisms. Prerequisites: grade of "C" or better in MATH 215, in MATH 250, and in MATH 310.

### MATH 412W Abstract Algebra II - 3 credits

A deeper examination of algebraic structures including rings, ideals, integral domains, fields, and other selected topics. Prerequisite: grade of "C" or better in MATH 411W.

### MATH 415W Introduction to Real Analysis I - 3 credits

Properties of real numbers, cardinality, sequences and series, properties of sets, functional limits and continuity. Prerequisites: grade of "C" or better in MATH 215, in MATH 250, and in MATH 310.

### MATH 416W Introduction to Real Analysis II - 3 credits

A continuation of MATH 415W including differentiation, sequences and series of functions, integration theory and advanced topics in analysis. Prerequisite: grade of "C" or better in MATH 415W.

### MATH 420 Introduction to Complex Variables - 3 credits

The complex number plane, analytic functions, integration of complex functions, sequences and series, and conformal mappings. Prerequisites: grade of "C" or better in MATH 215, MATH 250, and MATH 310.

### MATH 423W Topology - 3 credits

Topological spaces, homeomorphisms, connectedness, compactness, regular and normal spaces, metric spaces, convergence, and separation axioms. Prerequisites: grade of "C" or better in MATH 411W or in 415W.

### MATH 435 Clinical Trials: Desing and Analysis - 3 credits

This course covers the basic and advanced elements involved in the design of a clinical trial. Topics include types and properties of clinical trials, ethical issues, randomization procedures, sample size estimation, baseline assessment options, compliance, and dealing with missing data. Statistical topics include linear model analysis, longitudinal data analysis, stratified data analysis, multiple comparisons and multiple endpoints, covariate adjustment, subgroup analyses, adaptive designs, non-inferiority analyses and methods of imputation. Prerequisite: grade of "C" or better in MATH 325 or MATH 525.

### MATH 445 Prediction and Classification Modeling - 3 credits

Classification rates, ROC curves, cross-validation techniques, modern regression methods, data reduction/principle components, stages of biomarker development, and study design issues in cancer and occupational research. Prerequisite: grade of "C" or better in MATH 325W or in MATH 525W.

### MATH 473 Statistical Computing - 3 credits

Generating Pseudo-random numbers, Monte Carlo integration, simulation, Bayesian inference, Gibbs sampling, Metropolis sampling, Metropolis-Hastings sampling, the E-M algorithm, multivariate Newton-Raphson maximization, Prerequisite: grade of "C" or better in MATH 302W, and one of COSC 150, COSC 160 or COSC 170.

### MATH 491 Selected Topics in Mathematics I - 1 credits

Topics selected in consultation with the advisor.

### MATH 492 Selected Topics in Math II - 2 credits

Topics selected in consultation with the advisor.

### MATH 493 Selected Topics in Math III - 3 credits

Topics selected in consultation with the advisor.

## University Mathematics Core Courses

### UCOR 111 Problem Solving with Creative Math** - 3 credits

This course provides an exploration of mathematics as a science with an emphasis on problem solving techniques. Mathematical literacy is addressed through group work, research, and presentations. Topics include basic elements of statistics and probablilty, number theory, general mathematical lawa, logic, Venn diagrams, and graph theory. Solutions to problems are provided and students attempt to generalize the solutions and construct mathematical formulas. Students are introduced to the contributions of mathematics to culture in the form of traditional and ancient mathematical puzzles and theorems. Students may also satisfy the University core methematics requirement by completing a Calculus I course or sequence (Math 111, 114, or 115), Fundamentals of Statistics (Math 125), or Introduction to Biostatistics (Math 225).

** Course does not count toward math major** Course does not count toward either a math major or a math minor*