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Undergraduate Courses

Current_RubricCurrent_NumberNew_RubricNew_NumberCourse_TitleCourse_Description
MATH101MATH1014 and 1024 and 1032 and 1016 and 1042INTERDISCIPLINARY MATH-NCBThis is a lab session
MATH132MATH1332CONTEMPORAY MATHEMATICS IMathematics for Liberal Arts is a course designed for liberal and fine arts, non-mathematics, non- science, and non-business majors. It will provide knowledge of the nature of mathematics as well as training in mathematical thinking and problem solving. Topics may include logic and mathematics reasoning, sets, problem solving, applications, networks, graphs, probability, statistics, geometry, mathematics of finance, and number theory. Three hours of lecture per week. Credit may be received for only one of MATH 132, MATH 133, or MATH 135. Prerequisite: MATH 131 or a passing score on the mathematics portion of the TSI Assessment. Listed as MATH 1332 in the Texas Common Course Numbering System.
MATH133MATH1314COLLEGE ALGEBRAConcise overview of functions and their graphs including linear, quadratic, polynomial, rational, exponential, logarithmic functions and their applications, and solving equations, inequalities and system of equations. Three hours of lecture per week. Prerequisite: MATH 131 or a passing score on the mathematics portion of the TSI Assessment Examination. Listed as MATH 1314 in the Texas Common Course Numbering System.
MATH134MATH1316PLANE TRIGONOMETRYDefinitions and relations of the six trigonometric functions, proofs of formulas, solutions of triangles, trigonometric identities and equations, inverse trigonometric functions, vectors, and applications related to these topics. Three hours of lecture per week. Prerequisite: MATH 133. Listed as MATH 1316 in the Texas Common Course Numbering System.
MATH135MATH1324MATH BUS & ECON ANALYSIS ITopics from college algebra (linear equations, quadratic equations, functions and graphs, inequalities), mathematics of finance (simple and compound interest, annuities), linear programming, matrices, systems of linear equations, applications to management, economics, and business. Credit may be received for only one of MATH 132, MATH 133, or MATH 135. Prerequisite: MATH 131 or a passing score on the mathematics ortion of the TSI Assessment. (The content level of MATH 135 is expected to be at or above the level of college algebra, MATH 133.) Listed as MATH 1324 in the Texas Common Course Numbering System.
MATH136MATH2312PRECALCULUS MATHDesigned to prepare students for the study of MATH 241. Elementary functions that are differentiated and integrated in calculus are stressed, including polynomial, rational, algebraic, exponential, logarithmic, and trigonometric functions. Three hours of lecture per week. Prerequisite: MATH 133 or by department consent. Listed as MATH 2312 in the Texas Common Course Numbering System.
MATH138MATH1325MATH BUS & ECON ANALYSIS IILimits and continuity, derivatives, graphing and optimization, exponential and logarithmic functions, antiderivatives, integration, applications to management, economics, and business. Prerequisite: MATH 135 or by department consent. (The content level of MATH 138 is expected to be below the content level of Calculus I, MATH 241.) Listed as MATH 1325 in the Texas Common Course Numbering System.
MATH2305MATH2305Discrete MathematicsA course designed to prepare math, computer science, and engineering majors for a background in abstraction, notation, and critical thinking for the mathematics most directly related to computer science. Topics include: logic, relations, functions, basic set theory, countability and counting arguments, proof techniques, mathematical induction, combinatorics, discrete probability, recursion, sequence and recurrence, elementary number theory, graph theory, and mathematical proof techniques.
MATH231MATH1342ELEMENTARY STATISTICSBasic statistics topics presented for students planning to work in health-related fields. Three hours of lecture per week. Prerequisite: MATH 133. Listed as MATH 1342 in the Texas Common Course Numbering System.
MATH232MATH2332SOFTWARE SCIENTIFIC COMPUTINGThis course mainly focuses on R programming with an introduction to elementary statistics. R is a programming language and environment for statistical computing and graphing. It is becoming increasingly popular among both industry and academia due to its free access and powerful computing ability. This course will introduce students to (1) basic programming skill, (2) basic knowledge of statistics (3) use R to display and obtain statistics of data. The goal of the course is to get students gain working knowledge to analyze using R. This course will also briefly introduce another widely used software: Matlab, which is used both in academia and industry.
MATH235MATH1350STR & APP OF NUMB SYSSets, functions, logic, numeration theory, advanced definition perspectives, arithmetic operations (properties and algorithms), rational numbers, system of real numbers, and mathematical applications. Problem solving emphasized. Three hours of lecture per week. Prerequisite: MATH 133.
MATH236MATH1351FND OF GEOM STAT &PROBBasic concepts and methods of probability, statistics, and geometry, including discrete probability, random events, and conditional probability. Analysis of data, informational display, measurement, and geometry (as approached through similarity and congruence, coordinates, and transformations). Problem solving is emphasized. Three hours of lecture per week. Prerequisite: MATH 235.
MATH241MATH2413CALCULUS & ANALYTIC GEOMTRY IInequalities, functions, graphs, straight lines, linear equations, limits, continuity, differentiation, maximum-minimum problems, mean value theorem, related rates, and indefinite integrals. Four hours of lecture per week. Prerequisites: MATH 133 and MATH 134 or MATH 136 or departmental consent. Listed as MATH 2413 in the Texas Common Course Numbering System.
MATH242MATH2414CALCULUS & ANALYTIC GEOMTRY IIDefinite and indefinite integrals, techniques of integration, transcendental functions, and applications of the definite integral. Four hours of lecture per week. Prerequisite: MATH 241. Listed as MATH 2414 in the Texas Common Course Numbering System.
MATH243MATH2415CALCULUS & ANALYTICAL GEO IIISequences, infinite series, conic sections, polar coordinates, two-dimensional and three-dimensional vectors, parametric equations, partial differentiation, and multiple integrals. Four hours of lecture per week. Prerequisite: MATH 242.
MATH250MATH2318LINEAR ALGEBRAA first course in linear algebra designed to provide a minimal foundation in matrix theory, vector spaces, determinants, and linear transformations. Three hours of lecture per week. Prerequisite: MATH 241.
MATH251MATH2320DIFFERENTIAL EQUATIONSImportant methods of solution of ordinary differential equations of the first order and of higher orders with applications to geometry and physics. Three hours of lecture per week. Prerequisites: MATH 242 and MATH 243. (MATH 243 may be taken concurrently.)
MATH252MATH2352INTRO TO OPERATIONS RESEARCHProblems on how to use limited resource in an optimal way are ubiquitous. Operation research provides tools for modeling and analysis of such problems. This course gives a survey on operation research field. Namely, it introduces the simplex method of linear programming, decision analysis, queueing theory and inventory theory.
MATH331MATH3331FOUNDATIONS OF MATHEMATICSTransitional mathematics course toward the study of advanced mathematics. Various topics in the foundations of mathematics discussed. Three hours of lecture per week. Prerequisite: MATH 241.
MATH332MATH3332INTRODUCTION TO GRAPH THEORYLogic and postulates relating to geometries. Modern plane geometry as developed from Euclidean geometry, measurement, and metric system. Properties of geometric figures, congruence, theory of parallel lines, and noneuclidian geometry. Three hours of lecture per week. Prerequisite: MATH 241.
MATH335MATH3335FOUNDATIONS OF GEOMETRYFoundations of Geometry (3) Logic and postulates relating to geometries.Modern plan geometry as developed from Euclidean geometry,measurement, and metric system. Properties of geometric figures,congruence, theory of parallel lines, and noneuclidian geometry. Threehours of lecture per week. Prerequisite: MATH 241.
MATH336MATH3336INTRODUCTION: ABSTRACT ALGEBRAIntroduction to mathematical systems such as groups, rings, and fields. Three hours of lecture per week. Prerequisites: MATH 243 and MATH 331.
MATH3338MATH3338Introduction to ProbabiliyThis course introduces probability, which forms the foundation for understanding statistics, randomness and uncertainty. More specifically, this course covers discrete and continuous probability distributions, random variables and their distributions, cumulative distribution functions, density functions, expectation, variance and covariance. Independence of events and random variables are also discussed. R will be used throughout the course.
MATH3339STAT3339Statistics For ScienceThis course introduces graphical and descriptive methods in statistics, probability and distributions, sampling, estimation, hypothesis testing, regression, analysis of variance, exploratory and diagnostic methods. R programming will be used throughout the course.
MATH345MATH3345APPL MATH/STATS SCI/ENGINEERSSelected topics in applied differential equations (including transform techniques), linear programming, numerical methods, and statistics with emphasis on applications to the solution of problems in technology. Three hours of lecture per week. Prerequisite: MATH 242.
MATH376MATH3376APPLIED MATHEMATICAL ANALYSISVector analysis; algebra and geometry of vectors; vector differential and integral calculus; theorems of Green, Gauss, and Stokes. Three hours of lecture per week. Prerequisite: MATH 243.
MATH430MATH4388THE HISTORY OF MATHEMATICSGeneral view of the development of the elementary branches of mathematics; growth of higher mathematics in the eighteenth and nineteenth centuries. Three hours of lecture per week. Prerequisite: Twelve credits of college mathematics
MATH431MATH4361SOFTWARE: SCIENTIFIC COMPUTINGThis course introduces three pieces of scientific computing software that are widely used in industry and universities: Matlab, R Programmaing and Mathematica.
MATH439MATH4331INTRODUCTION TO ANALYSISThe real number system; elementary point set theory; sequences and series; continuity; differentiation and integration. Three hours of lecture per week. Prerequisites: MATH 243 and MATH 331.
MATH460MATH4333INTRODUCTION COMPLEX ANALYSISComplex numbers and complex geometry; limits, continuity, derivatives, and the Cauchy-Riemann equations; analytic and harmonic functions; Cauchy’s Integral Theorem and its consequences. Three hours of lecture per week. Prerequisites: MATH 243 and MATH 331.
MATH461MATH4338INTRODUCTION TO PARTIAL DIFFERENTIAL EQUATIONSLinear Operators: Linear first order equations; the wave equation; the heat equation; Laplace’s Equation; Green’s Function and Sturm-Liouville problems; Fourier Series; Numerical Solutions. Three hours of lecture per week. Prerequisite: MATH 251.
MATH462MATH4336INTRODUCTION TO TOPOLOGYTopics include metric spaces, connectedness, and compactness. The topology of Euclidean spaces discussed in detail as well as its generalization to nonmetric topological spaces. Three hours of lecture per week. Prerequisites: MATH 243 and MATH 331.
MATH463MATH4363INTRODUCTION TO NUMERICAL ANALYSISComputer Arithmetic and associated error analysis. Solution of non linear equations. Interpolation and approximation methods. Numerical differentiation and integration. Initial value problems for ordinary differential equations. Three hours of lecture. Prerequisite: MATH 242.
MATH465MATH4322Introduction Data Science and Machine LearningThis course introduces theory and applications for statistics learning techniques including linear and logistic regression, classification and regression trees, random forests and neural networks. R programming will be used throughout the course.
MATH466MATH4323Introduction to Statistics LearningThis course introduces theory and applications for statistics learning techniques including maximal marginal classifiers, support vector machines, K-means and hierarchical clustering, and resampling methods. R programming will be used throughout the course.
MATH467STAT4360Introduction to biostatistics with RThis course is intended as comprehensive concepts-centric biostatistics primer. Those who complete the course will be able to read and respond to the scientific literature, including the Methods and Results sections, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team in biological science and related fields.
MATH471MATH4371TOPICS IN MATH INew developments and trends in mathematics discussed. Three hours of lecture per week. Prerequisite: Consent of the instructor.
MATH473STAT4373PROBABILITY & STATISTICS IIntroduction to probability and statistical inference making use of the calculus developed in MATH 241 and MATH 242. Three hours of lecture per week. Prerequisite: MATH 242.
MATH475MATH4375INTRODUCTION TO MODERN ALGEBRAGroup theory; Lagrange’s Theorem; Isomorphism Theorem; Cayley’s Theorem; rings and fields. Three hours of lecture per week. Prerequisite: MATH 336 or consent of the instructor.
MATH490MATH4390INDEPENDENT STUDY UNDERGRADIntensive study of a topic in mathematics under the direction of a faculty member. Prerequisites: Senior standing and consent of the instructor.
MATH499MATH4399SEMINARVarious topics in mathematics discussed. Three hours of lecture per week. ( Prerequisite: Consent of the instructor)