May 21, 2024  
2016-2017 Undergraduate Catalog 
    
2016-2017 Undergraduate Catalog [ARCHIVED CATALOG]

Course Descriptions


 

Marketing

  
  • MKTG 477. Internet Marketing Practicum


    3.00
    With an applied focus, this course introduces students to some of the most important and fastest growing sectors in online marketing. Students apply marketing theories in a uniquely applied manner as they become active learners involved in an online marketing campaign, facing real pressures similar to those in the professional workplace (i.e., account management, client relationships, financial constraints, market competition, time limitations, technology, etc.). Student teams will work with actual clients on online marketing campaigns. Throughout their campaigns, students continually make finance, advertising and marketing decisions. Students gather real world data using online marketing dashboards to gain a strong understanding of real market conditions. Students experience traditional advertising concepts such as copy writing, cost per thousand (CPM), return on investment, as well as online marketing concepts such as click-through-rate (CTR), cost-per-click (CPC), conversion rates, landing page strategies, and optimization techniques Prerequisite: MKTG 470  and permission of the instructor.
  
  • MKTG 480. Product Development & Management


    3.00
    The process of developing new products will be developed and explored. The marketing tasks which are unique to this operation will be investigated. An understanding of the marketing management of products throughout their life cycles will complete the course. Prerequisite: COB 300 or MKTG 380 
  
  • MKTG 482. Marketing Analytics


    3.00
    This course focuses on the use of information technology and marketing metrics to increase marketing productivity. Students learn how to evaluate marketing strategies and performance using database queries and statistical analysis. Information technologies are applied in market segmentation and target marketing, lifetime value analysis and RFM (recency, frequency and monetary value) analysis. Prerequisites: COB 300 or MKTG 380  and admission to the marketing major or minor.
  
  • MKTG 485. Marketing Management


    3.00
    Case studies are used to develop analytical and decision-making skills. Knowledge gained from previous course work is applied to actual circumstances faced by marketing managers in private, public, profit and not-for-profit organizations. Extensive preparation of case materials outside of class provides the basis for case presentations and discussion of case situations in class. Prerequisites: COB 300, MKTG 384 , MKTG 385  and Senior Standing Required.
  
  • MKTG 490. Special Studies in Mktg


    1.00 - 3.00
    Designed to give capable students in marketing an opportunity to complete independent study under faculty supervision. Prerequisites: GPA 2.8, recommendation of the instructor and approval of the director.
  
  • MKTG 494. Marketing Internship


    3.00 - 6.00
    A course providing an opportunity to work in and deal with local industry to gain insight into the realities of modern business. Prerequisites: COB 300 or MKTG 380 , minimum cumulative GPA of 2.800, senior standing, recommendation of the internship coordinator and approval of the director prior to registration.
  
  • MKTG 498. Special Topics


    3.00
    This course is designed to allow explorations of areas of current topical concern, or to exploit special situations. Course content will vary. For current course content consult your adviser. Prerequisite: Permission of the instructor.
  
  • MKTG 498A. Special Topics in Marketing


    3.00
    This course is designed to allow explorations of areas of current topical concern or to exploit special situations. Course content will vary. For current course content consult your adviser.
  
  • MKTG 498B. Special Topics in Marketing


    3.00
    This course is designed to allow explorations of areas of current topical concern or to exploit special situations. Course content will vary. For current course content consult your adviser.
  
  • MKTG 499. Honors


    3.00
    Year course. See catalog section entitled “Graduation with Distinction” and “Graduation with Honors.”
  
  • MKTG 499A. Honors


    1.00
  
  • MKTG 499B. Senior Honors Project


    2.00
  
  • MKTG 499C. Senior Honors Project


    3.00

Materials Science

  
  • MATS 375. An Introduction to Materials Science


    3.00
    Crosslisted: CHEM 375 , PHYS 375 

    An introduction to materials science with emphasis on general properties of materials. Topics will include crystal structure, extended and point defects, and mechanical, electrical, thermal and magnetic properties of metals, ceramics, electronic materials, composites and organic materials. CHEM 131  and PHYS 150 , PHYS 250 , ISAT 212  or permission of the instructor is the prerequisite.
  
  • MATS 498R. Undergraduate Materials Science Research


    1.00 - 3.00
    Research in a selected area of materials science arranged with and approved by a faculty research advisor. Prerequisite: Proposal for study must be approved by research advisor and by the Director of Center for Materials Science prior to registration.

Mathematics

  
  • MATH 103. The Nature of Mathematics [C3T1G1]


    3.00
    Topics such as geometry, computing, algebra, number theory, history of mathematics, logic, probability, statistics, modeling and problem solving intended to give students insight into what mathematics is, what it attempts to accomplish and how mathematicians think. May be used for general education credit. Math Majors are not eligible to enroll in the course.
  
  • MATH 105. Quantitative Literacy and Reasoning [C3T1G1]


    3.00
    Applications and interpretation of numerical information in context. Selection and use of appropriate tools: scientific notation, percentages, descriptive summaries, absolute and relative changes, graphs, normal and exponential population models, and interpretations of bivariate models. Making informed decisions and effectively communicating them. Identifying limitations of information sources, assessing reasonableness of results, and basic concepts of confidence amid uncertainty. Not open to majors in mathematics or statistics. May be used for general education credit. This course is not open to students who have completed MATH 220  with a grade of C- or higher or to majors in mathematics or statistics.
  
  • MATH 107. Fundamentals of Mathematics I [C3T2]


    3.00
    MATH 107 and MATH 108 , along with MATH 207 , form a sequence that covers the topics of sets, logic, numeration systems, development of real numbers, number operations, number theory, geometry, measurement, algebra, functions, probability and data analysis. Sequence is required for early childhood, elementary, or middle school teacher licensure. May be used for general education credit. Prerequisites: MATH 105  with a grade of “C-” or better or a score of 21 or higher on the Mathematics Placement Exam are the prerequisites.
  
  • MATH 108. Fundamentals of Mathematics II


    3.00
    MATH 107  and MATH 108, along with MATH 207 , form a sequence that covers the topics of sets, logic, numeration systems, development of real numbers, number operations, number theory, geometry, measurement, algebra, functions, probability and data analysis. Sequence is required for early childhood, elementary, or middle school teacher licensure. Prerequisite: MATH 107  with a grade of C- or better
  
  • MATH 135. Elementary Functions


    4.00
    Algebraic, exponential, logarithmic and trigonometric functions. Designed for freshmen who want to enroll in MATH 235  in the following semester. Not open to students who have previously earned credit in MATH 125, 145, 155 , 156 , 205  or 235 , except with the consent of the department head. You are not eligible to enroll into this course if you have received credit for MATH 155 , MATH 156 , MATH 205 , or MATH 235 .
  
  • MATH 155. College Algebra


    3.00
    Polynomial, rational, exponential and logarithmic functions and applications, systems of equations and inequalities, sequences. Demonstrated Proficiency in Algebra through the Math Placement Test. Not eligible to take this course if you have earned credit for MATH 135 , MATH 156 , MATH 205 , MATH 231 , MATH 232 , or MATH 235 .
  
  • MATH 156. College Algebra


    3.00
    Covers same topics as MATH 155 . MATH 156 will meet five times a week for students requiring more instructional time. Demonstrated Proficiency in Algebra through the Math Placement Test. Not eligible to take this course if you have earned credit for MATH 135 , MATH 155 , MATH 205 , MATH 231 , MATH 232 , or MATH 235 .
  
  • MATH 167. Topics in Mathematics


    1.00 - 3.00
    Topics or projects in mathematics which are of interest to the lower-division student. May be repeated for credit when course content changes. Topics or projects selected may dictate prerequisites. Students should consult the instructor prior to enrolling for this course.
  
  • MATH 199. Algebra/Precalculus Gateway


    1.00
    Review of fundamental mathematics required to be successful in MATH 205  or MATH 231 , including graphs of functions, factoring, simplifying, solving equations and inequalities, and exponential/logarithmic/trigonometric functions. Self-paced study with required proctored tests. Course grading is based on how quickly students successfully complete the required tests. Students needing more instruction should register for MATH 155  instead. Information regarding who should be taking this course: MATH 199 must be taken as a co-requisite with MATH 231  for students with calculus placement score in the range 15-22. Students with calculus score below 15 should take MATH 155  or 156  prior to attempting MATH 231 . Permission from the Mathematics department to enroll in MATH 199-MATH 231  may be granted on an individual basis for calculus placement scores below 15 with appropriate evidence from other academic records. This course is only open to students enrolling in MATH 231  with placement score below 23. Corequisite: MATH 231  or MATH 205  or MATH 233E 
  
  • MATH 205. Introductory Calculus I [C3T1G1]


    3.00
    Topics from differential and integral calculus with applications to the social, behavioral or life sciences, and business or management. Not recommended for chemistry majors. Prerequisite: MATH 135 /MATH 155 /MATH 156  or 25+ on the Math Placement (MP) CALC exam. Students with a MP CALC score of 23-24 have a coreq of MATH 199 . Not open to mathematics or physics majors or to students who have already earned credit in MATH 235 .
  
  • MATH 207. Fundamentals of Mathematics III


    3.00
    A continuation of topics listed in the MATH 107 -108  description will be covered. The MATH 107 -108 -207 sequence fulfills the requirements for licensure of prospective early childhood, elementary, or middle school teachers. Prerequisites: MATH 107  and MATH 108  with a grade of “C-” or better.
  
  • MATH 220. Elementary Statistics [C3T1G1]


    3.00
    Descriptive statistics, frequency distributions, sampling, estimation and testing of hypotheses, regression, correlation and an introduction to statistical analysis using computers. May be used for general education credit. Prerequisite: MATH 105 , MATH 155 , MATH 156 , MATH 232 , MATH 235  or 16+ on the Math Placement STAT exam. Not open to majors in mathematics.
  
  • MATH 220H. Elementary Statistics - Honors [C3T1G1]


    3.00
    Descriptive statistics, frequency distributions, sampling, estimation and testing of hypotheses, regression, correlation and an introduction to statistical analysis using computers. May be used for general education credit. Honors Students
  
  • MATH 227. Discrete Structures I


    3.00
    Crosslisted: CS 227 

    An introduction to discrete mathematical structures for scientists. Functions, relations, sets, logic, matrices, elementary number theory, proof techniques, basics of counting, graph theory, discrete probability, digital logic, finite state machines, integer and floating point representations. MATH 155 , MATH 156 , or a score of 21 or higher on the Mathematics Placement Exam is the prerequisite.
  
  • MATH 228. Discrete Structures II


    3.00
    An introduction to discrete mathematical structures for scientists. Functions, relations, sets, logic, matrices, elementary number theory, proof techniques, basics of counting, graph theory, discrete probability, digital logic, finite state machines, integer and floating point representations. MATH 227 /CS 227  is the prerequisite
  
  • MATH 231. Calculus with Functions I [C3T1G1]


    3.00
    MATH 231 and MATH 232  form a sequence that combines first-semester calculus with algebra and trigonometry. The sequence is designed for students whose pre-calculus skills are not strong enough for MATH 235 . Calculus material in MATH 231 includes limits and derivatives of algebraic functions and their applications. May be used for general education credit. Not open to students who have already earned credit in MATH 235 . Students with a calculus placement score of 15-22 must take MATH 199  as a corequisite; a score 23 or above are allowed to enroll in the class without a corequisite; a score below 15 should take MATH 155  or 156  prior to attempting MATH 231.
  
  • MATH 232. Calculus with Functions II


    3.00
    A continuation of MATH 231 . Calculus topics include limits and derivatives of transcendental functions, the theory of integration and basic integration techniques. NOTE: MATH 231 -232 together are equivalent to MATH 235  for all prerequisites. Not open to students who have already earned credit in MATH 235 . Prerequisite: MATH 231  with a grade of C- or better.
  
  • MATH 233E. A Modeling Approach to Calculus Part A


    3.00
    Two semester sequence applying static and dynamic models in the context of scientific applications. Includes development and application of differential and integral calculus. Discrete and continuous models involving functions, difference equations and differential equations. Not open to students who have already earned credit in MATH 235 . MATH 233E-234E  together are equivalent to MATH 235  for all prerequisites. Prerequisite: MATH 155  or MATH 156  or Appropriate Placement Score. Calculus Math Placement Score of 18-22 will require MATH 199  as a corequisite.
  
  • MATH 234E. A Modeling Approach to Calculus Part B


    3.00
    Two semester sequence applying static and dynamic models in the context of scientific applications. Includes development and application of differential and integral calculus. Discrete and continuous models involving functions, difference equations and differential equations. MATH 233E -234E together are equivalent to MATH 235  for all prerequisites. Not open to students who have already earned credit in MATH 235 . Prerequisite: MATH 233
  
  • MATH 235. Calculus I [C3T1G1]


    4.00
    Differential and integral calculus of functions of one variable. Sequences and infinite series. May be used for general education credit. MATH 235 is not open to students who have already earned credit in MATH 232 . Prerequisite: Score of 30 or higher on the Math Placement CALC Exam or MATH 135 
  
  • MATH 236. Calculus II


    4.00
    Differential and integral calculus of functions of one variable. Sequences and infinite series. Prerequisite: MATH 232  or 235  with a grade of “C-” or better
  
  • MATH 237. Calculus III


    4.00
    Vectors. Multivariate calculus. Prerequisite: MATH 236  with a grade of C- or better
  
  • MATH 238. Linear Algebra Diff Equa


    4.00
    Matrices; determinants; vector spaces; linear transformations; eigenvalues and eigenvectors; separable, exact and linear differential equations; and systems of linear differential equations. Not open to students with credit in MATH 300  or MATH 336  without departmental permission. Prerequisite: MATH 236 
  
  • MATH 245. Discrete Mathematics


    3.00
    Logic, set theory, relations and functions, mathematical induction and equivalent forms, recurrence relations, counting techniques. MATH 236  is the pre- or corequisite.
  
  • MATH 248. Computers & Numerical Algorithms


    4.00
    Programming in a high-level computer language. Applications of numerical algorithms to problems basic to areas such as mathematics, the sciences, and economics and finance. This course is not open to students who have previously earned credit in MATH /CS 448 . Prerequisite: MATH 236 ; OR Corequisite: MATH 236  & Permission of Instructor.
  
  • MATH 265. Intro to Fluid Mechanics


    4.00
    Crosslisted: PHYS 265 

    Introduces the student to the application of vector calculus to the description of fluids. The Euler equation, viscosity, and the Navier-Stokes equation will be covered. MATH 237  and PHYS 260  are the prerequisites.
  
  • MATH 266E. Introduction to Solid Mechanics


    4.00
    An introduction to the applications of vector and tensor calculus to the description of continua, with emphasis on the mechanics of solids. Topics will include deformation, motion, stress, conservation laws, and constitutive equations.
  
  • MATH 297. Undergraduate Research


    1.00 - 4.00
    Students pursue research in a selected area of mathematics and/or statistics. Student must make arrangements with a supervising instructor prior to registration. Course may be repeated.
  
  • MATH 300. Linear Algebra


    3.00
    Vector spaces, linear transformations, matrices, determinants, systems of linear equations, and eigenvalues and eigenvectors. Prerequisite: MATH 236 ; Not open for credit to students with credit in MATH 238 
  
  • MATH 304. Principles of Algebra


    3.00
    Algebraic structures, number systems, matrices, groups, rings, factors and solutions to equations, graph theory. Prerequisite: C- or better in MATH 107 , MATH 108 , and MATH 207 
  
  • MATH 305. Principles of Geometry


    3.00
    Finite geometries, geometric transformations, constructions, geometry of inversion, projective geometry, non-Euclidean geometry. Prerequisite: C- or better in MATH 107 , MATH 108 , and MATH 207 
  
  • MATH 306. Principles of Analysis


    3.00
    Sequences, discrete calculus and difference equations, derivatives and integrals, concepts of differential equations and applications. Prerequisite: C- or better in MATH 107 , MATH 108 , and MATH 207 
  
  • MATH 307. Principles of Probability and Statistics


    3.00
    Descriptive statistics, measures of central tendency and dispersion, correlation, probability, probability distributions and statistical inference. Prerequisite: C- or better in MATH 107 , MATH 108 , and MATH 207 
  
  • MATH 309. Sas Programming and Data Management


    3.00
    Use of statistical software to manage, process, and analyze data. Writing of statistical programs to perform simulation experiments. Prerequisite: MATH 220  or MATH 318  or equivalent
  
  • MATH 310. Elem Number Theory


    3.00
    Properties of integers and prime numbers, divisibility, congruence, residues and selected topics. Prerequisite: MATH 245  or consent of the instructor.
  
  • MATH 315. Real Number System


    3.00
    A development of the real number system through a systematic approach to the natural numbers, integers, rationals and irrationals. Prerequisite: MATH 245  or consent of the instructor.
  
  • MATH 318. Intro to Probability & Statistics


    4.00
    Descriptive statistics, counting, probability axioms, discrete and continuous univariate random variables, expected values of random variables and sums of independent random variables, sampling distributions and the Central Limit Theorem, single and two sample inference for proportions and means, chi-square test of independence, simple linear regression, and correlation. Prerequisite: MATH 236 
  
  • MATH 321. Analysis Var & Exper Des


    3.00
    Introduction to basic concepts in statistics with applications of statistical techniques including estimation, test of hypothesis, analysis of variance and topics in experimental design. Prerequisite: MATH 220  or MATH 318  or equivalent
  
  • MATH 322. App Stat Regression


    3.00
    Introduction to basic concepts and methods in regression analysis and the application of these models to real-life situations. Prerequisite: MATH 220  or MATH 318  or equivalent
  
  • MATH 324. App Nonparametric Stat


    3.00
    Methods of analyzing data from non-normal populations including binomial tests, contingency tables, use of ranks, Kolmogorov-Smirnov type statistics and selected topics. Prerequisite: MATH 220  or MATH 318  or equivalent
  
  • MATH 325. Survey Sampling Methods


    3.00
    Theory and practice of sampling including stratified random samples, discussion of simple random samples, cluster sampling, estimating sample size, ratio estimates, subsampling, two-state sampling and analysis of sampling error. Prerequisite: MATH 220  or MATH 318  or equivalent
  
  • MATH 327. Categorical Data Analysis


    3.00
    Exact inference for population proportions, comparison of population proportions for independent and dependent samples, two- and three-way contingency tables, Chi-square tests of independence and homogeneity, Chi-square goodness-of-fit tests and Poisson and logistic regression. Prerequisite: MATH 220  or MATH 318  or equivalent
  
  • MATH 328. Time Series Analysis


    3.00
    Crosslisted: FIN 328 

    Regression and exponential smoothing methods for forecasting nonseasonal and seasonal time series, stochastic processes, Box-Jenkins’ autoregressive and moving average models. Prerequisites: MATH 238  or MATH 300  and MATH 318 .
  
  • MATH 336. Elementary Differential Equations


    3.00
    Development of techniques for obtaining, analyzing and graphing solutions to differential equations, with emphasis on first and second order equations. Prerequisite: MATH 236 ; Not open for credit to students with credit in MATH 238 
  
  • MATH 337. Methods of Applied Calculus


    4.00
    Laplace transforms, power series and their application to differential equations. Vector differential and integral calculus; parametric curves; coordinate systems; line, surface and volume integrals; and gradient, divergence, and curl including the theorems of Green, Stokes and Gauss. Prerequisite: MATH 237 ; and MATH 238  or MATH 336 
  
  • MATH 340. Mathematical Modeling I - Optimization


    3.00
    Linear and nonlinear optimization with an emphasis on applications in the sciences, economics and social sciences. Techniques studied include the simplex, Newton, and Lagrange methods and Kuhn-Tucker theory. Software packages will be used to implement these methods. Prerequisites: MATH 237 ; and MATH 238  or MATH 300  or consent of instructor.
  
  • MATH 341. Non-Linear Dynamics and Chaos


    3.00
    Crosslisted: PHYS 341 

    Introductory study of nonlinear dynamics and chaos intended primarily for upper-level undergraduates in science or mathematics. Topics include stability, bifurcations, phase portraits, strange attractors, fractals, and selected applications of nonlinear dynamics in pure and applied science. Computers may be utilized for simulations and graphics. Prerequisites: MATH 238  or (MATH 300  and MATH 336 ); and MATH 248 
  
  • MATH 342. Mathematical Models in Biology


    3.00
    Crosslisted: BIO 342 

    Introduction to dynamical models (discrete and continuous time) applied to biology. Tools of mathematical analysis from linear and nonlinear dynamics will be taught, including stability analysis of equilibrium, as well as appropriate use of software packages. Emphasis will be on model development and interpretation in the context of applications, including effective written and oral presentation.
  
  • MATH 353. Graph Theory


    3.00
    Graphs and their applications. Possible topics include trees, Euler paths and Hamiltonian circuits, planar graphs, digraphs, adjacency matrices, connectivity and coloring problems. Prerequisite: MATH 245  or instructor consent.
  
  • MATH 354. Introduction to Biometrics


    4.00
    Crosslisted: BIO 454 

    This course discusses the role of statistics in biological research and interpretation of biological phenomena. The course will cover topics of sampling, correlation, regression analysis, tests of hypotheses, commonly observed distributions in natural populations, nonparametric tests, goodness-of-fit tests and ANOVA. In order to fully comprehend the statistical analysis of those publications, students will review approximately half a dozen publications from different fields of biology. Prerequisite: MATH 220  or MATH 318  or equivalent
  
  • MATH 360. Complex Variables


    3.00
    Introduction to algebraic properties of complex numbers, analytic functions, harmonic functions, mappings of elementary functions, contour integration, series, residues, and poles and conformal mappings. Emphasis on computations and applications to fluid and heat flow. MATH 237  is the prerequisite.
  
  • MATH 367. Introduction to Acoustics


    3.00
    This course represents an introduction to sound, hearing, and vibration. Architectural, biological and environmental acoustics will also be discussed. Students will develop an ability to use mathematical models and experimental techniques to study problems in acoustics and to transfer this knowledge to analogous situations. They will also develop an ability to conduct a semester-long research or expository project and present it in written and oral form to an audience of peers. Prerequisite: MATH 236 
  
  • MATH 395. Mathematical Finance


    3.00
    Crosslisted: FIN 395 

    This course presents an overview of the role of mathematical concepts in financial applications. Topics include continuous time finance, optimization, numerical analysis and applications in asset pricing. MATH 237  and FIN 380  are the prerequisites.
  
  • MATH 405. Securities Pricing


    3.00
    Crosslisted: FIN 405 

    A quantitative treatment of the theory and method of financial securities pricing to include an examination of closed form pricing models such as the Black-Schoals and its various derivatives as well as numerical solution techniques such as binomial methods. FIN 395  or MATH 395  is the prerequisite.
  
  • MATH 410. Advanced Calculus I


    3.00
    Limits, continuity, differentiation, sequences, series, integration and selected topics. Prerequisite: MATH 238  or MATH 300 ; and MATH 245  or consent of the instructor
  
  • MATH 411. Advanced Calculus II


    3.00
    Limits, continuity, differentiation, sequences, series, integration and selected topics. MATH 410  is the prerequisite.
  
  • MATH 415. History of Mathematics


    3.00
    Topics in the history of mathematics spanning ancient times to the present. Prerequisite: MATH 245  or instructor consent.
  
  • MATH 421. Applied Multivariate Statistical Analysis


    3.00
    Multivariate statistical methods with applications. Topics include canonical correlation, clustering, discriminant analysis, factor analysis, multivariate analysis of variance, multiple regression, multidimensional scaling and principal component analysis. Prerequisite: MATH 300  or MATH 238  and MATH 321  or MATH 322 .
  
  • MATH 423. Stochastic Process


    3.00
    Sequences and classes of random variables. Applications to physical, biological, social and management sciences. Topics include Markov chains, branching processes, the Poisson process, queuing systems and renewal processes. Prerequisites: MATH 238  or MATH 300  and MATH 318 .
  
  • MATH 424. Statistical Decision Theory


    3.00
    Development and use of probability and statistics for strategic decision making with applications. Topics include decision flow diagrams, analysis of risk and risk aversion, utility theory, Bayesian statistical methods, the economics of sampling, sensitivity analysis and collective decision making. MATH 318  is the prerequisite.
  
  • MATH 426. Prob & Math Stat I


    3.00
    Derivations and proofs of probability theorems, discrete and continuous univariate and multivariate random variables, conditional distributions, mathematical expectations, functions of random variables, moment generating functions, properties and derivation of estimators including the method of moments and maximum likelihood estimation. MATH 318  is the prerequisite.
  
  • MATH 427. Prob & Math Stat II


    3.00
    Limiting distributions, sampling theory and distributions, theory and applications of estimation and hypothesis testing. MATH 426  is the prerequisite.
  
  • MATH 428. Statistical Consulting


    3.00
    Training and experience in statistical consulting emphasizing oral and written communication, interview, report writing and presentation skills. Participate in significant interdisciplinary consulting project that will require meeting with the client, creating reports summarizing the clients¿ problem and an analysis performed by the students, and explanation of results using language that can be understood by the client. Students are required to meet with clients outside of class meeting times. MATH 322  is the pre- or corequisite. MATH 318 , MATH 321 , and at least junior standing are the prerequisites.
  
  • MATH 429. Research Project in Statistics


    1.00 - 3.00
    Experience in the design, data collection, and analysis for a survey or experiment.
  
  • MATH 430. Abstract Algebra I


    3.00
    An introduction to groups, rings and fields. Prerequisite: MATH 238  or MATH 300 ; and MATH 245  or consent of the instructor
  
  • MATH 431. Abstract Algebra II


    3.00
    An introduction to groups, rings and fields. MATH 430  is the prerequisite.
  
  • MATH 433E. Survey of Modern Algebra


    3.00
    An introduction to rings, fields and groups with an emphasis on polynomial rings, reducibility and rational, real, and complex number systems. Applications to areas such as geometry, number theory, trigonometry and calculus. Prerequisite: MATH 245  & MATH 238  or MATH 300 ; Antirequisite: MATH 430 
  
  • MATH 434. Advanced Linear Algebra


    3.00
    A proof-based linear algebra course covering such topics as vector spaces, linear transformations and matrices, eigenvalues and eigenvectors, inner product spaces, and canonical forms. Prerequisite: MATH 245  AND EITHER MATH 238  OR MATH 300 
  
  • MATH 435. Introduction to Topology


    3.00
    Metric spaces, limits, continuous maps and homeomorphisms, connectedness, compact topological spaces and applications. MATH 238  or MATH 300  and MATH 245  are the prerequisites.
  
  • MATH 440. Fourier Analysis and Partial Differential Equation


    3.00
    Elementary applied partial differential equations, the heat equation, Laplace’s equation, the wave equation; Fourier series and boundary value problems. Both theory and problem-solving will be included. Prerequisite: MATH 238  or MATH 336 
  
  • MATH 441. Analysis and Dynamics of Differential Equations


    3.00
    Analysis of qualitative properties and dynamics of linear and non-linear ordinary differential equations, including topics such as existence, uniqueness, phase portraits, stability and chaos, with applications in the sciences. Prerequisites: MATH 238  OR MATH 300  and MATH 336 ; AND MATH 245  or MATH 440  OR Instructor Permission
  
  • MATH 448. Numerical Analysis


    3.00
    Crosslisted: CS 448 

    Study and analysis of algorithms used to solve nonlinear equations and systems of linear and nonlinear equations. Iterative methods for matrices and Newton-type methods. Numerical differential and integral calculus. Programming using a high-level language and/or software packages. Prerequisites: MATH 237 ; MATH 238  or MATH 300 ; and MATH 248 .
  
  • MATH 449. Numerical Analysis for Differential Equations


    3.00
    Study and analysis of numerical techniques to solve ordinary and partial differential equations, including Euler, Runge-Kutta, Picard, finite-difference and finite-element methods. Programming using a high-level language and/or software packages. Prerequisites: MATH 237 ; MATH 238  or MATH 336 ; and MATH 248 
  
  • MATH 452. Design and Analysis of Algorithms


    3.00
    Crosslisted: CS 452 

    An introduction to the analysis, design and theory of algorithms. Algorithms studied will be selected from searching, sorting and graph theory. Included are elements of counting, recurrence relations, direct and indirect proofs, recursion, complexity classes, language theory, decidability and undecidability. Prerequisites: CS 240  and CS 327 
  
  • MATH 470. Connections in Mathematics


    3.00
    This course is a mathematics capstone course primarily for math majors with secondary education minors. It covers a variety of topics, each designed to develop the interconnectedness of advanced mathematics to the secondary curriculum. MATH 318 , MATH 410 , MATH 430 , and MATH 475  are the pre- or corequisites.
  
  • MATH 475. Fund Concepts of Geometry


    3.00
    Origin and development of Euclidean and other geometries including axiomatic systems, mathematical proof and special topics from incidence geometry. Prerequisite: MATH 245  or consent of the instructor.
  
  • MATH 485. Selected Topics


    1.00 - 4.00
    Topics in advanced mathematics or statistics which are not covered in the regularly offered courses. Offered only with approval of the department head; may be repeated for credit when course content changes.
  
  • MATH 486. Independent Study


    1.00 - 3.00
    Independent study in mathematics under faculty supervision.
  
  • MATH 497. Undergraduate Research


    1.00 - 4.00
    Students pursue advanced research in a selected area of mathematics and/or statistics. Student must make arrangements with a supervising instructor prior to registration. Offered only with consent of the department head. Repeatable up to 6 credits.
  
  • MATH 499A. Honors


    1.00
  
  • MATH 499B. Honors Thesis


    3.00
  
  • MATH 499C. Honors Thesis


    2.00

Mathematics Education

  
  • MAED 430. Teaching Mathematics in Grades K-12


    3.00
    This course provides students with knowledge, skills, and understanding to design and implement effective mathematics instruction (K-12). Focus is on the content, methods, and materials developmentally appropriate for mathematics instruction for a range of students, including diverse and special needs children. The course is based on the Principles and Standards for School Mathematics from NCTM. Prerequisite: EXED 200 

Media Arts and Design

  
  • SMAD 101. Intro to Med Arts & Dsgn


    3.00
    Study of the historical evolution of today’s media industries and career paths. Emphasis on contemporary issues affecting those industries and careers. Consideration given to emerging media, their required skills and social impacts. Prerequisite: Declared SMAD Majors Only
  
  • SMAD 150. Mediated Communication: Issues and Skills [C1CT]


    3.00
    Study of how mediated communication shapes the content, meaning and impact of spoken, written and pictorial messages. Emphasis on the skills required to integrate speech, text and imagery into mediated presentations. Consideration of issues involving the critical evaluation of mass-mediated communication, their effectiveness and influence. May be used for general education credit. May not be used for major credit. If you have already completed, or are currently registered for, a Cluster One Critical Thinking class, you must secure permission to receive credit for a second Cluster One Critical Thinking class.
 

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