Catalog Entries |
Current
Aug 13, 2026 |
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 | Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. |
| MAT 099 - Algebra Essentials |
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Mathematic Essentials Prerequisite: Placement at this level Review of algebraic concepts and skills from Elementary and Intermediate Algebra. Topics include (but are not limited to) operations on numbres and algebraic expressions, functions and their graphs, determining the zeros of a function. This course is designed to prepare students in both non-STEM and STEM disciplines for further study in mathematics. Use of a graphing calculator is required. (May not be used for credit toward graduation.) 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Independent Study, Lecture, Online Mathematical Sciences Department Course Attributes: FPR Pre Tier 1 Mathematics |
| MAT 135 - Math For Liberal Arts |
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Math For Liberal Arts Prerequisite: MAT 101 or Placement or SAT 600+ Mathematics applied to solving practical problems in a variety of disciplines. Mathematical topics include voting theory and financial mathematics. Mathematical methods are used to examine how groups make voting decisions, achieve power, divide resources, resolve conflicts; to study topics related to personal finance. Additional topics may include but are not limited to statistics, biological population growth, and geometric patterns. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Online Mathematical Sciences Department Course Attributes: CSUS Common Course, ELAC Foundational Concept Math, LAC T1M-Mathematics |
| MAT 135P - Math For Liberal Arts Plus |
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Math For Liberal Arts Plus Prerequisite: Placement at this level or completion of MAT 099. This course offers integrated just-in-time Intermediate Algebra support. Mathematics will be applied to solving practical problems in a variety of disciplines, enhanced by algebraic content and technology skills. Mathematical topics include voting theory, financial mathematics, linear programming, identification numbers, and statistics. Additional topics may include fair division. This course is for non-STEM disciplines only and thus cannot be used to satisfy the Precalculus Mathematics Plus (MAT 155P) or Precalculus Mathematics (MAT 155) prerequisite for Calculus I (MAT 243). Approved to be offered online during Winter/Summer. 4.000 Credit hours 4.000 Other hours Levels: Undergraduate Schedule Types: Lecture, Lecture and Lab, Online Mathematical Sciences Department Course Attributes: ELAC Foundational Concept Math, LAC T1M-Mathematics |
| MAT 139P - Number Systems Plus |
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Number Systems Plus Prerequisites: Placement at this level or completion of MAT 099 A problem-solving approach is used in the study of sets and number systems. The natural numbers are extended to the rationals, integers, and finally the reals. Topics include elementary number theory, non-decimal systems, numeration, and computational algorithms in the elementary school. The course emphasizes the content/method connection. This course will integrate algebra topics covered on the Praxis II exam required for Elementary Education certification. The course is designed and intended for Elementary Education and Early Childhood Education students only and thus cannot be used to satisfy the Precalculus Mathematics Plus (MAT 155P) or Precalculus Mathematics (MAT 155) prerequisite for Calculus with Technology (MAT 243). Approved to be offered online during Winter/Summer. 4.000 Credit hours 4.000 Other hours Levels: Undergraduate Schedule Types: Lecture, Online Mathematical Sciences Department Course Attributes: ELAC Foundational Concept Math, FPR Mathematics, LAC T1M-Mathematics |
| MAT 140 - Geometry/Prob for ELE Teach |
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Geometry and Probability for Elementary school Teaching Prerequisite: MAT 139 This course is designed and intended for future elementary school teachers, emphasizing the content/method connection. This is the second part of the MAT 139/MAT 140 sequence required for every elementary teacher candidate both at the undergraduate and graduate certification levels. This course is built around the elementary school mathematics content areas as outlined in the Common Core State Standards (CCSS), particularly Measurement and Data, Geometry (including coordinate and transformation), and Statistics and Probability. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Online Mathematical Sciences Department |
| MAT 155 - Precalculus Mathematics |
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Precalculus Mathematics Prerequisite: Placment at this level Topics include the study of functions, domain and range, building new functions through algebraic operations, composition of functions, and inverse functions. The course will also include the study of families of functions such as polynomial, rational, radical, exponential, logarithmic, and trigonometric functions. Specifically, students are expected to gain an understanding of algebraic notation, expressions, equations, inequalities and their use in describing and interpreting relationships, functions and function notation, proportional and inversely proportional relationships, and applications of periodic phenomena and trigonometric identities. The use and mastery of graphing technology is an essential aspect of the course. The course is designed for students majoring in STEM disciplines. May also be useful to other quantitative disciplines. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: ELAC Foundational Concept Math, FPR Mathematics, LAC T1M-Mathematics |
| MAT 155P - Precalculus Mathematics Plus |
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PreCalculus Mathematics Plus Prerequisite: Placement at this level or completion of MAT 099 This course offers integrated just-in-time Intermediate through college algebra support. Topics include the study of functions, domain and range, building new functions through algebraic operations, composition of functions, and inverse functions. The course will also include the study of families of functions such as polynomial, rational, radical, exponential, logarithmic, and trigonometric functions. Specifically, students are expected to gain an understanding of algebraic notation, expressions, equations, inequalities and their use in describing and interpreting relationships, functions and function notation, proportional and inversely proportional relationships, and applications of periodic phenomena and trigonometric identities. The use and mastery of graphing technology is an essential aspect of the course. The course is designed for students majoring in STEM disciplines. May also be useful to other quantitative disciplines. 5.000 Credit hours 5.000 Other hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: ELAC Foundational Concept Math, FPR Mathematics, LAC T1M-Mathematics |
| MAT 195 - Calculus for BUS, DSC, & ECO |
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Calculus for Business, Data Science, and Economics Prerequisite: Placement at this level or completion of MAT 099 This course blends topics form Precalculus and Calculus, focusing specifically on the skills and applications necessary to support students' majoring in Business, Data Science, or Economics. This course offers just-in-time algebra support. Precalculus topics include the study of functions, domain and range, polynomial, rational, radical, exponential, and logarithmic functions.Calculus topics include an introduction to limits and continuity, rates of change, the definition of the derivative, and techniques of differentiation of linear, polynomial, exponential, logarithmic, and rational functions. The course will include applications of the derivative to solve applied problems in the fields of business and economics. Characteristics of functions such as intervals of increase or decrease, concavity, extrema, and end behavior will be studied as a means to describe, reason, interpret and analyze relationships. The course concludes with an introduction to integration. Use of an approved graphing calculator is required thoughout the course. This course is intended for students majoring in Business, Data Science, or Economics and cannot be substituted for MAT 243 Calculus I with technology. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Mathematical Sciences Department Course Attributes: ELAC Foundational Concept Math, LAC T1M-Mathematics |
| MAT 1XX - Mathematics Elective |
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Mathematics Elective Prerequisite: Transfer Credit Evaluation Only 0.500 TO 6.000 Credit hours Levels: Undergraduate Schedule Types: Lecture |
| MAT 215 - Math for Informed Citizenship |
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Math for Informed Citizenship Prerequisite:None When you learn to think with numbers, you gain the power of understanding your world and you become a more informed citizen in a complex society. In this course, you will learn to apply a broad range of numerical, graphical, analytic, and statistical tools to a range of interesting, real-world ,engaging, everyday problems. Our world is filled with biased information, flawed arguments, and incorrect reasoning, and through enhancing your abilities to think and reason quantitatively, you will be better able to recognize bias and to respond appropriately. And learning to think with numbers is not just for those who are "good at math." Everyone can enhance and deepen their quantitative reasoning ability. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: ELAC DC-Science and Math, ELAC LO-Quantitative Literacy, LAC T2IT-Applied Info Tech |
| MAT 216 - Statistical Data Analysis |
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Statistical Data Analysis Prerequisite: LAC student with T1M or ELAC student with LACM or SAT 550+ Multidisciplinary, data-driven course in applied statistics. Topics selected from exploratory data analysis (tables, graphs, central tendency and variation), correlation and regression, probability and statistical inference (confidence intervals and hypothesis testing). Emphasis placed on interpretation and analysis of real-data sets. Use of statistical computing software is integral to the course. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Lecture With Increased Credits, Online Mathematical Sciences Department Course Attributes: CSUS Common Course, LAC T2IT-Applied Info Tech |
| MAT 217 - Statistics for Liberal Studies |
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Statistics for Liberal Studies Prerequisites: Completion of T1M requirement Introduction to concepts and techniques for collecting, analyzing, interpreting, and drawing conclusions from data. Emphasis placed on concepts used in educational measurement and educational research. Course topics selected from exploratory data analysis, correlation and regression, probability and statistical inference. Data-based projects related to each of the four concentrations within the Liberal Studies major are integral to the course and require use of statistical/spreadheet software or graphing calculators. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 225 - Math for Human Flourishing |
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Math for Human Flourishing What is mathematics? Why do we do mathematics? Who does mathematics? Is there beauty in math? Francis Su claims "math is intimately tied to being human." Is this true? Exploring these questions will be the basis for this course. In exploring these questions we will play with mathematics, solve puzzles, embrace struggle, persevere, and work collaboratively. This course is for those who see themselves as math people, those who don't, and everyone in-between. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: ELAC DC-Science and Math, ELAC LO-Critical Thinking |
| MAT 230 - Discrete Structures |
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Discrete Structures Prerequisite: MAT 155 or MAT 155P or MAT 195 A study of discrete structures including sets, relations, functions, graphs, trees, with some applications. Other topics include propositional and predicate logic, methods of proof (for example direct, indirect, induction), an introduction to permutations and combinations, iteration, and recursion. Students will be introduced to writing formal proofs. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 243 - Calculus I with Technology |
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Calculus I with Technology Prerequisite:MAT 155/155P or Placement at this level A first course in calculus with a focus on differential calculus. Topics include the study of limits, continuity, rates of change, the definition of the derivative, indeterminate forms, and techniques of differentiation of linear, polynomial, exponential, logarithmic, rational, and trigonometric functions. The course will include applications of the derivative to solve applied problems. Characteristics of functions such as intervals of increase or decrease, concavity, extrema, and end behavior will be studied as a means to describe, reason, interpret, and analyze relationships. The course concludes with an introduction of antiderivatives. Use of an approved graphing calculator is required throughout the course. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Online Mathematical Sciences Department Course Attributes: ELAC Foundational Concept Math, LAC T1M-Mathematics |
| MAT 244 - Calculus II with Technology |
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Calculus II with Technology Prerequisite: MAT 243 This is the second course in a three semester calculus sequence. MAT 244 focuses on two related topics: methods and applications of integration, and infinite series and representation of functions by power series. Topics in integration include Riemann sums, definite and indefinite integrals, the Fundamental Theorem of Calculus, applications to geometry (area, volume, arc length) and to real-life problems, and techniques or integration. The course concludes with the study of sequences and series, convergence tests, and power series representation of functions (Taylor series). Use of an approved graphing calculator is required throughout the course. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Online Mathematical Sciences Department |
| MAT 298 - Prof Dev in Math and Data Sci |
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Professional Development in Mathematics and Data Science Prerequisite: Mathematics or Data Science major with Sophomore standing or higher. This course guides students through professional development tasks for finding a job, an internship, or applying to graduate school in Mathematics or Data Science. Activities include identifying potential mathematical and data science careers, developing a professional resume, writing a cover letter, researching the job market, preparing for interviews, and creating a professional social media profile. Students will also attend events both inside and outside the Department that will provide opportunities to meet and network with professionals in a range of mathematical careers. 1.000 Credit hours 1.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 299 - Praxis II Preparation |
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Praxis II Preparation Prerequisite: MAT 230, MAT 244, MAT 310, MAT 315, MAT 380 This course is designed to prepare students for the Praxis II Mathematics Content Knowledge Test. The Praxis II exam covers material from the following areas: Number and Quantity, Algebra, Functions, Calculus, Geometry, Probability and Statistics, Discrete Mathematics, and Matrices. The course will include test-taking strategies and emphasize preparation that requires students to work through sample Praxis II exam questions. 2.000 Credit hours 2.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 2XX - Mathematics Elective |
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Mathematics Elective Prerequisite: Transfer Credit Evaluation Only 0.500 TO 6.000 Credit hours Levels: Undergraduate Schedule Types: Lecture |
| MAT 310 - Applied Linear Algebra |
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Applied Linear Algebra Prerequisites: MAT 230 and MAT 243 This course covers systems of linear equations and matrix algebra with emphasis on applications. Topics include systems of linear equations and their solutions, matrices and matrix algebra, determinants and inverse matrices, vector spaces and subspaces, linear independence, bases for vector spaces, dimension, linear transformations, inner products, orthogonal bases and projections, eigenvalues and eigenvectors. Possible areas of applications include graph theory, coding and curve fitting. Use of technology is integral to the course. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 315 - Appl Probability & Statistics |
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Applied Probability And Statistics Prerequisite: MAT 244 or [(MAT 243/195) and (CSC 202/210)] This course covers applied probability and statistics (both descriptive and inferential), including random variables and their distributions, and applications of standard statistical techniques. Descriptive statistics include appropriate graphic displays, measures of center and variability, correlation and regression as well as proportions and analysis of two-way tables. Significance tests include t-tests and chi-square tests. The role of historical figures in the development of probability and statistics (e.g. Bayes, Bernoulli, Gauss, Pearson, Tukey) is discussed. Focus will be on a concept development (including simulation and derivation), and analysis and interpretation of real data. Analysis/ computation is facilitated by statistics and mathematics software. A data-based research project culminating in a technical report is an integral component to the course. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: Middle Level Writing Intensive |
| MAT 320 - Number Theory |
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Number Theory Prerequisite: MAT 230 This course covers a range of ideas from number theory, starting with the division algorithm, modular arithmetic, and divisibility tests. Main topics include the extended Euclidean algorithm, the Fundamental Theorem of Arithmetic, the Chinese Remainder Theorem, Wilson's Theorem, Fermat's Little Theorem, the Euler phi-function. Further topics may include cryptography, the existence of primitive roots, the theory of indices, and the study of the group integers mod n. Students will be required to write formal proofs. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 340 - Calculus III with Technology |
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Calculus III with Technology Prerequisite: MAT 244 This course is the final course in a three-semester calculus sequence. This course covers differential, integral, and vector calculus for functions of more than one variable and their applications. Topics include vectors in two and three dimensions, parametric curves, partial derivatives, and multiple integration including change of variables. The use of technology (Maple or Mathematica) is required throughout the course. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 341 - Differential Equations |
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Differential Equations Prerequisite: MAT 244 Methods of solution of ordinary differential equations; applications in mathematics and science. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 342 - Explorations in Data Science |
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Explorations in Data Science Prerequisites:((MAT 216 or ECO 215) and (CSC 202 or CSC 210)) or MAT 315 This course provides and introduction to the interdisciplinary field of data science. The emergence of massive datasets from diverse areas such as telecommunications, large-scale retailing, astronomy,sports, medicine and social media provide the primary impetus for the field. This course will emphasize practical techniques that inlcude cleaning and transforming data, exploring/ analyzing data, statistical inference, creation of statistical models, and communicating results. R programming language will be used for data manipulation, visualization, and analysis. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 343 - Explorations in Data Analytics |
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Explorations in Data Analytics Prerequisite: MAT 342 This course covers advanced analytical techniques students can use in the modeling and evaluation stages of a data science project. Such techniques may include neural networks, k-means and model-based clustering, association rules, segmentation models, and model voting techniques. This course relies on the foundational structure and methodologies established in Explorations in Data Science (MAT 342). Students will complete a group analysis of a data set and present their findings in a lightning talk. Soft skills such as communication and teamwork are built alongside analytical skills. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 345 - Optimization |
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Optimization Prerequisites: MAT 243 This course is intended for undergraduate students who have taken a one year course in calculus. The course is an introduction of optimization techniiques in Management Science. The core topics in this course are: Linear programming (graphic solutions), Linear programming (computer solutions), Integer programming, and Nonlinear programming. Emphasis will be placed on modeling and computer solutions. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 350 - Numerical Analysis |
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Numerical Analysis Prerequisites: CSC 210 Or CSC 231 and MAT 244 Computer solution of problems of interpolation, approximation, numerical integration, polynomial and differential equations and systems of linear equations. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 355 - Probability |
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Probability Prerequisite: MAT 315 This course is a comprehensive introduction to the major ideas of probability, such as independence, conditional probability, mean and variance, and counting techniques. We will consider a range of probability distributions and their properties, including boht discrete and continuous univariate probability distributions such as the uniform, binomial, geometric, Poisson, normal, and exponential distributions. We will also consider multivariate probability distributions. Applicaitons to the insurance industry are emphasized throughout the course. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 356 - Financial Mathematics |
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Financial Mathematics Prerequisite: MAT 244 This course is a comprehensive introduction to the major ideas of financial mathematics, such as the time value of money, annuities and cash flows, loans, bonds, cash flows, portolios, immunization, interest rate swaps, and determination of interest rates. Applications ot the insurance industry are emphasized throughout the course. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 360 - Topics In Mathematics |
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Topics In Mathematics Prerequisite: Consent of Instructor Note: Can be taken more than once for credit. The treatment of special topics in mathematics and their adaptation in various types of mathematics problems. Emphasis is on the development of the basic concepts in each topic. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 362 - Adv Math Elem School Teaching |
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Advanced Mathematics for Elementary School Teaching Prerequisite: MAT 244 Prerequisite or Corequisite: MAT 310 and MAT 315 Students will investigate mathematical topics in the elementary school curriculum from an advanced viewpoint. The course will integrate advanced mathematical thinking from Calculus, Geometry, Algebra, Discrete Mathematics, and Probability and Statistics with the mathematical content typically taught at the elementary level. This course is intended for Liberal Studies majors. Unless students are double Mathematics and Elementary Education majors, this course will not count as a Mathematics elective. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 365 - Praxis Topics |
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Praxis Topics 3.000 Credit hours 3.000 Other hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 370 - Operations Research |
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Operations Research Prerequisites: MAT 315, CSC 210 or 231 Mathematical models, linear programming, queuing theory, computer simulation, game theory, and other topics as time permits. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 371 - Explorations in Graph Theory |
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Explorations in Graph Theory Prerequisite: MAT 230 Graph Theory is in a branch of discrete mathematics. The graphs we will consider in this course consist of a set of vertices and a set of edges which are unordered pairs of vertices. These graphs can be model social networks, maps scheduling problems, efficient delivery routes games, puzzles,and much more. We will answer questions such as: What is a graph? What are some properties of trees? When can a graph be drawn so that no edges cross? How can we color the vertices of graphs so that vertices connected by an edge receive different colors? How many colors do we need to color a graph? Is there a way to "walk" around the graph visiting every vertex exactly once without repeating edges? 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Seminar Mathematical Sciences Department |
| MAT 372 - Adv Math High School Teaching |
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Advanced Mathematics For High School Teaching Prerequisite: MAT 230, 244, 315 and 380; and one course from: MAT 310, 340 400, 420 Students will investigate secondary mathematical topics from an advanced viewpoint. The course will integrate advanced mathematical thinking from Calculus, Geometry, Algebra, Discrete Mathematics, and Probability and Statistics with the mathematical content typically taught at the secondary level. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: LAC T3-LiberalArts Experience |
| MAT 373 - Explorations-Math Bio |
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Explorations in Mathematical Biology Prerequisite: MAT 243 This course is designed to introduce students to college- level knowledge in Mathematical Biology. It includes the formulation, analysis, solution and interpretation of mathematical models in biology, ecology, pharmacology, microbiology, epidemiology, medicine and physiology. Model analysis will require the use of software such as Maple. The course will divide into three parts: mathematical techniques, applications and multidisciplinary research. Techniques: Introduction to Differntial Equations, Difference Equations and Statistics. Mathematical and Statistics. Mathematical and Statistical Analysis of Model Equations Applications: Population Dynamics, Stem Cells, Concentration of DNA, RNA Reaction Kinetics, Gene Networks and Regulation, Viral and Immune System Dynamics, Network Analysis. Multidisciplinary Research: Apply techniques learned to an applied problem that will require at least some mathematics, computer science and biology. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 374 - Explorations in Topic |
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Explorations in Topic Prerequisites: MAT 230 and MAT 244 Each exploration course will focus on an advanced topic in mathematics. The course will provide students with experiences and background that will be helpful if they choose to pursue undergraduate research projects. Possible activities will include but are not limited to group work, projects,portfolios, research, or other activities in line with undergraduate research. Note: Can be taken with different topics up to 5 times for credit. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Seminar Mathematical Sciences Department |
| MAT 375 - Math Astronomy/Astrophysics |
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Mathematical Astronomy And Astrophysics Prerequisite: None Mathematical problems in cosmology, astrophysics, and celestial mechanics. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 380 - Geometry |
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Geometry Prerequisite: Math 230 This course offers a rigorous development of the core concepts and principles of geometry with an emphasis on proof and extensive problem solving. Topics include: axioms of Euclidean geometry, basic figures in two- and three- dimensions and their classification, congruence criteria for triangles, relationships between sides and angles in a triangle, parallel lines, the parallel postulate and its implications, basic properties of non-Euclidean geometry in two dimentsions (hyperbolic and spherical), basic constructions in the plane, similarity, right triangles and trigonometry, the Pythagorean theorem and other algebraic relationships in triangles, plane transformations and symmetry, area and volume of two and three dimensional figures. Geometry software is used as a technology tool for visualization and exploration in the plane. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 390 - Explorations in Knot Theory |
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3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 395 - History of Mathematics |
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History of Mathematics Prerequisite: MAT 380 Pre or Corequisite: MAT 320 This course studies the development of mathematics through various periods, civilizations and cultures around the world. Students will follow the historical arguments and will use tools available to specfic time periods. Among the areas of mathematics discussed in this course are number theory, geometry and trigonometry, calculus, statistics and probability, discrete mathematics, anlysis and algebra. Students will gain a deeper understanding of these topics by studying the evolution of ideas and the context in which these ideas were developed, leading to their current forms. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 3XX - Mathematics Elective |
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Mathematics Elective Prerequisite: Transfer Credit Evaluation Only 0.500 TO 6.000 Credit hours Levels: Undergraduate Schedule Types: Lecture |
| MAT 400 - Abstract Algebra |
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Abstract Algebra Prerequisites: (MAT 320 or MAT 380) and MAT 310 Pre-or Co-requisite: MAT 310 This course covers modern algebraic structures with a focus on group theory and ring theory. Topics include introduction to groups, permutations and the symmetric group, types of groups including cyclic and symmetry groups, subgroups, quotient, homomorphisms and isomorphisms, cosets and Lagrange's Theorem. Following a careful study of groups, students will explore the basic concepts in ring theory. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 420 - Real Analysis I |
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Real Analysis I Prerequisites: MAT 230, 244, 315 and(MAT 320 or 380) A rigorous study of the real number system including the well-ordering property, the completeness axiom, the Archimedian property, the topology of the real numbers (open, closed, compact sets), Heine-Borel and Bolzano- Weierstrass theorems, number sequences, limits, convergence tests, including the nonotone convergence theorem, Caunchy sequences, subsequences, lipsup and liminf for sequences, limits and continuity of real functions, and properties of continuous functions. This course fulfills the University's requirement for an upper-division, writing- intensive course. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: Writing Intensive |
| MAT 421 - Real Analysis II |
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Real Analysis II Prerequisite: MAT 420; and LAC student with a least two Tier II courses or ELAC Student A study of the theory of differentiation, infinite series, integration, uniform convergence, and metric spaces. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: LAC T3-LiberalArts Experience |
| MAT 422 - Advanced Topics In Analysis |
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Advanced Topics In Analysis Prerequisite: MAT 420 Selections from the following: measure and integration, a rigorous introduction to the theory of probability, abstract spaces, and various kinds of differentiation. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 440 - Topology |
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Topology Prerequisite: None Co-requisite: MAT 420 A study of the basic notions of point-set topology, bases and sub-bases, continuity, topological equivalence, countability, separation axioms, compactness, product spaces, connectedness, completeness, and function spaces. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 450 - Complex Variables |
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Complex Variables Prerequisite: MAT 340 Complex numbers, analytic functions, integration and differentiation of functions of a complex variable, Cauchy's integral theorem, power series. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematical Sciences Department |
| MAT 480 - Independent Studies |
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Independent Studies Prerequisite: Approval of Department Chairperson and Dean 1.000 TO 6.000 Credit hours 1.000 TO 6.000 Other hours Levels: Undergraduate Schedule Types: Independent Study Mathematical Sciences Department |
| MAT 490 - Internship In College Teaching |
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Internship In College Teaching Prerequisite: Consent of Instructor By invitation only. Can be taken more than once for credit. Graded on a credit/no credit basis. 1.000 TO 6.000 Credit hours 2.000 TO 12.000 Other hours Levels: Undergraduate Schedule Types: Internship Mathematical Sciences Department |
| MAT 491 - Practicum:Mathematics Tutoring |
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Practical Experi.In Devel & Deliver.Of Math Intervention Pre-req: Department Permission Required This course offers practical experience in the development and deliverance of math intervention through tutoring 7th and 8th grade students at Windham Middle School. 1.000 Credit hours 2.000 Other hours Levels: Undergraduate Schedule Types: Field Instruction Mathematical Sciences Department |
| MAT 492 - Internship |
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1.000 TO 6.000 Credit hours 1.000 TO 6.000 Other hours Levels: Undergraduate Schedule Types: Internship Mathematical Sciences Department |
| MAT 495 - Field Experiences |
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1.000 TO 3.000 Credit hours 2.000 TO 6.000 Other hours Levels: Undergraduate Schedule Types: Field Instruction Mathematical Sciences Department |
| MAT 4XX - Mathematics Elective |
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Mathematics Elective Prerequisite: Transfer Credit Evaluation Only 0.500 TO 6.000 Credit hours Levels: Undergraduate Schedule Types: Lecture |
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