2017-2018

Mathematics (MATH)

Courses

MATH 101. Pre-Calculus. 3 Credit Hours.

MATH 101 is a pre-calculus course. Topics covered will include linear functions, power functions, graphical concepts, quadratic functions, rational functions, and exponential and logarithmic functions. In addition, there will be an extensive review of algebraic concepts. It is expected that, upon completion of this course, students will be prepared to take MATH 110. This course does not fulfill a Mathematics requirement.
Prerequisites: Math Placement Exam
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH 101A1369MWF12:00pm - 12:50pm(G. Ethier)
Fall 2017MATH 101A1369TTh3:30pm - 4:20pm(G. Ethier)
Fall 2017MATH 101B1370MWF10:00am - 10:50am(G. Ethier)
Fall 2017MATH 101B1370TTh8:30am - 9:20am(G. Ethier)
Fall 2017MATH 101C1372MWF9:00am - 9:50am(E. Simonian)
Fall 2017MATH 101C1372TTh8:30am - 9:20am(E. Simonian)

MATH 110. Mathematical Analysis. 3 Credit Hours.

MATH 110 is an applied mathematics course. Although it is weighted more heavily toward calculus and its applications, many pre-calculus topics will be reviewed prior to the corresponding calculus topic. Topics covered will include differentiation, integration, curve sketching and optimization techniques. Applications are keyed to management, economics, finance, and the social and natural sciences. A brief unit on Mathematics of Finance will also be covered.
Prerequisites: Math Placement Exam
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH 110A1373TTh8:00am - 9:15am(G. Niu)
Fall 2017MATH 110B1375TTh9:30am - 10:45am(M. Brousseau)
Fall 2017MATH 110C1376MWF10:00am - 10:50am(J. Lovett)
Fall 2017MATH 110D1378TTh2:00pm - 3:15pm(W. Zywiak)
Fall 2017MATH 110E1379MWF1:00pm - 1:50pm(J. Lovett)
Fall 2017MATH 110F1381TTh12:30pm - 1:45pm(J. Bishop)
Fall 2017MATH 110FE1382W6:30pm - 9:10pm(D. Trudeau)
Fall 2017MATH 110G1384MWF12:00pm - 12:50pm(J. Capalbo)
Fall 2017MATH 110H1392MWF8:00am - 8:50am(J. Lovett)
Fall 2017MATH 110HN1386MWF8:00am - 8:50am(B. Monroe)
Fall 2017MATH 110I1385TTh3:30pm - 4:45pm(S. Walker)
Fall 2017MATH 110J1394MWF9:00am - 9:50am(B. Monroe)
Fall 2017MATH 110L1396TTh8:00am - 9:15am(M. Brousseau)
Fall 2017MATH 110M1398TTh3:30pm - 4:45pm(O. Hasbora)
Fall 2017MATH 110N1399MWF12:00pm - 12:50pm(B. Monroe)
Fall 2017MATH 110O1786MWF1:00pm - 1:50pm(A. Lamere)
Fall 2017MATH 110P1400TTh5:00pm - 6:15pm(D. Mellor)
Fall 2017MATH 110Q1401TTh8:00am - 9:15am(O. Hasbora)
Spring 2018MATH 110A3355TTh9:30am - 10:45am(G. Niu)
Spring 2018MATH 110B3356MWF12:00pm - 12:50pm(J. Capalbo)
Summer 2018MATH 110F4106MTWThF9:00am - 10:30amTBD
Winter 2018MATH 110A2007MTWThFS8:30am - 11:30am(L. Hasenfus)

MATH 121. Calculus and Analytic Geometry I. 3 Credit Hours.

This is the first course for Actuarial Mathematics, Applied Math and Statistics, Applied Economics, Biology and Environmental Science majors, and those concentrating in Applied Statistics. The course is also recommended for the math minors. Topics include limits, continuity, derivatives, and integrals, along with their application to the Mean Value Theorem, curve sketching and optimization, the calculus of transcendental functions, and area between curves.
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH 121A1402MWF8:00am - 8:50am(J. Capalbo)
Fall 2017MATH 121B1403MWF9:00am - 9:50am(S. Nguyen)
Fall 2017MATH 121C1404MWF1:00pm - 1:50pm(J. Capalbo)
Spring 2018MATH 121A3323TTh11:00am - 12:15pm(J. Quinn)

MATH 122. Calculus and Analytic Geometry II. 3 Credit Hours.

This course is a continuation of MATH 121, designed for Actuarial Mathematics, Applied Math and Statistics, Applied Economics, Biology and Environmental Science majors, and those concentrating in Applied Statistics. It is recommended for the math minors also. Topics include L'Hopital's Rule, the calculus involving inverse trigonometric functions, integration methods, modeling with differential equations, geometric series, MacLaurin and Taylor Polynomials and Series, introduction to partial derivatives and multiple integrals.
Prerequisites: MATH 121
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH 122A1405MWF9:00am - 9:50am(J. Capalbo)
Spring 2018MATH 122A3325MWF11:00am - 11:50am(J. Capalbo)
Spring 2018MATH 122B3326MWF1:00pm - 1:50pm(J. Capalbo)

MATH 129. Mathematics of Finance. 3 Credit Hours.

This course is an intensive study of mathematics that can be applied in business and finance. Topics include simple and ordinary interest, simple bank discount, compound interest, simple and complex annuities, annuities in perpetuity, and geometrically varying annuities. The mathematics for determining present value, future amount, and periodic annuity payments is developed. Further, the concepts of exponential and logarithmic functions are presented in order to be able to determine time duration. The students are shown interest rates in annuities, which cannot be determined explicitly by algebraic methods but can be determined by use of Goal Seek function in Excel. Fundamental linear programming and breakeven models (that include time delayed revenue and borrowed funds) are also presented. Students that receive credit for MATH 110 or MATH 110 Honors cannot receive credit for MATH 129.
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH 129A1407TTh9:30am - 10:45am(W. Zywiak)
Fall 2017MATH 129B1408TTh8:00am - 9:15am(W. Zywiak)

MATH 201. Statistics I. 3 Credit Hours.

In this course students are taught the concepts necessary for statistical analysis and inference. Topics include descriptive statistics, classical probability, probability distributions, confidence intervals, and hypothesis testing, chi-square analysis, simple linear regression and correlation.
Prerequisites: MATH 110 or equivalent
Session Cycle: Fall, Spring, Summer
Yearly Cycle: Annual.

MATH 223. Calculus and Analytic Geometry III. 3 Credit Hours.

This course is the third of three calculus courses required of actuarial and applied mathematics and statistics majors. Topics include the conic sections, circles, parabolas, ellipses, and hyperbolas, polar coordinates, vectors and vector-valued functons, functions of more than one variable dealing with partial derivatives with its mathematical applications and the calculation of double and triple integrals.
Prerequisites: MATH 122
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH 223A1416MWF10:00am - 10:50am(R. Smith)
Fall 2017MATH 223B1417MWF11:00am - 11:50am(R. Smith)
Spring 2018MATH 223A3336MWF1:00pm - 1:50pm(R. Smith)

MATH 226. Linear Algebra. 3 Credit Hours.

This course is an introduction to the topic of Linear Algebra. The topics covered will include the study of matrices, determinants, vector spaces, subspaces, row and column spaces, null spaces, linear transformations, and eigenvalues and eigenvectors.
Prerequisites: MATH 121
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH 226A1418MWF1:00pm - 1:50pm(R. Smith)
Spring 2018MATH 226A3338MWF10:00am - 10:50am(R. Smith)

MATH 228. Discrete Structures. 3 Credit Hours.

This course introduces the foundations of discrete mathematics as they apply to information technology, focusing on providing a solid theoretical foundation for further work. Topics include propositional logic, sets, growth of functions, simple proof techniques, elementary number theory, counting techniques, relations and graph theory.
Pre/Corequisites: MATH 110 or equivalent
Session Cycle: Spring
Yearly Cycle: Annual.

MATH 350. Statistics II. 3 Credit Hours.

A continuation of MATH 201, this course provides students further concepts necessary for statistical analysis and inference. Topics include analysis of variance, multiple regression and correlation, model building, chi-square tests, and nonparametric statistics.
Prerequisites: MATH 201
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH 350A1419TTh9:30am - 10:45am(A. Olinsky)
Spring 2018MATH 350A3339TTh11:00am - 12:15pm(G. Niu)

MATH 354. Software Application for Mathematics. 3 Credit Hours.

This course introduces students to the use of Microsoft Visual Basic behind Excel spreadsheets. Students are taught to write computer programs based on specified criteria. Excel functions and Goal Seek are used in a variety of applied project assignments. Topics typically include simulation, mathematical distributions, and statistical analyses. Additional topics may include writing of stand-alone programs with Visual Basic forms, manipulation of data in Excel or Microsoft Access, and/or the use of statistical packages such as SAS.
Prerequisites: MATH 201 or AM 230
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH 354A1420TTh11:00am - 12:15pm(J. Bishop)
Spring 2018MATH 354A3357TTh11:00am - 12:15pm(J. Bishop)

MATH 391. Applied Mathematics and Statistics Internship. 3 Credit Hours.

Applied mathematics and/or statistics internships give students the opportunity for supervised employment in an area where they can apply their theories and principles. Interns work at least ten hours a week, meet periodically with a supervising faculty member, conduct research on their field of employment, and prepare a substantive report on work experience and research.
Prerequisites: Junior standing and approval by a supervising faculty member and the department chair.

MATH 409. Elementary Number Theory. 3 Credit Hours.

This course will cover topics such as divisibility, prime numbers, Fundamental Theorem of Arithmetic, Euclid's Algorithm, Pascal's Triangle, Fibonacci numbers, congruences and residue classes, Diophantine equations, Euler's Phi Function, Fermat's Last Theorem, and Pythagorean Triples. A major application in the course will be to Cryptography. For qualified students, this course may be taken as a 500 level graduate content course. Permission of the instructor is required.
Prerequisites: MATH 201 or permission of the instructor
Session Cycle: Spring
Yearly Cycle: Annual.

Spring 2018MATH 409A3358MWF11:00am - 11:50am(R. Smith)

MATH 421. Statistical Analysis With R. 3 Credit Hours.

This course covers the application of R in a wide range of subjects in data analysis. The statistical topics include descriptive statistics; hypothesis testing; probability distribution; Bayesian statistics; predictive modelling; and unsupervised learning. Students will also learn how to write functions in R, Rmarkdown, and various R famous packages such as ggplot2, caret, mosaic, dplyr.
Prerequisites: MATH 350 or AM 332
Session Cycle: Fall
Yearly Cycle: Annual.

Spring 2018MATH 421A3738MWF9:00am - 9:50am(S. Nguyen)

MATH 435. Geometry. 3 Credit Hours.

Since the time of Euclid (330 BC) the study of Geometry has been regarded as s foundation of western education and the preferred context in which to teach young adults the purpose and value of logical thinking. This course is offered to provide undergraduate and graduate level mathematics education students and others an introduction to and a mastery of both the classical and analytic aspects of Euclidean Geometry. The ideas of point, line, plane, triangle, quadrilaterals, parallelism and lack of it, similarity, congruence, area, volume and Loci will be formally presented through an axiomatic method using definitions, postulates and geometric proofs. The structure, the pedagogy and the presentation of the above topics will also be emphasized throughout the course. For qualified students, this course may be taken as a 500 level graduate content course. Permission of the instructor is required.
Prerequisites: MATH 110 or permission of instructor
Session Cycle: Spring
Yearly Cycle: Annual.

Spring 2018MATH 435A3359MWF12:00pm - 12:50pm(J. Capalbo)

MATH 455. SAS Programming and Applied Statistics. 3 Credit Hours.

This course provides an introduction to SAS programming. It also covers statistical applications utilizing both SAS and Enterprise Guide. Some of the topics covered in the first part of this course include: reading raw data files and SAS data sets; investigating and summarizing data by generating frequency tables and descriptive statistics; creating SAS variables and recoding data values; subsetting data; combining multiple SAS files; creating listing, summary, HTML, and graph reports; managing SAS data set input and output, working with different data types, and manipulating data. In the second part of the course, we apply SAS and Enterprise Guide to the analysis of data using the topics of ANOVA, regression, and logistic regression. For qualified students, this course may be taken as a 500 level graduate content course. Permission of the instructor is required.
Prerequisites: MATH 350 or AM 332 or ECO 210 or ECO 315
Session Cycle: Spring
Yearly Cycle: Annual.

Spring 2018MATH 455A3360TTh9:30am - 10:45am(A. Olinsky)

MATH 456. Statistical and Mathematical Decision Making. 3 Credit Hours.

This course provides an introduction to the concepts and methods of Decision Science, which involves the application of mathematical modeling to problems of decision making under uncertainty. It also provides a foundation in modeling with spreadsheets. Topics include linear programming, goal programming, nonlinear programming, decision analysis, and simulation.
Prerequisites: MATH 201 or AM 231
Session Cycle: Spring
Yearly Cycle: Annual.

MATH 460. Applied Data Mining. 3 Credit Hours.

Employing SAS Enterprise Miner software with real-world case studies, this course introduces students to the current theories, practices, statistical tools and techniques in "data mining," which embodies cutting-edge methods to reveal competitive insight, market advantage, and strategic opportunities. This course will cover the most useful statistical tools in data mining such as cluster analysis, logistic regression, classification trees, and neural networks. In addition, a comprehensive real-world data project will be required along with a presentation to the class and other interested parties of key aspects of the project with an analysis of the results. For qualified students, this course may be taken as a 500 level graduate content course. Permission of the instructor is required.
Prerequisites: MATH 350 or AM 332
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH 460A1421MWF11:00am - 11:50am(S. Nguyen)
Spring 2018MATH 460A3362MWF10:00am - 10:50am(S. Nguyen)

MATH 461. Applied Multivariate Statistics. 3 Credit Hours.

After a brief review of multiple regression and analysis of variance, students are introduced to multivariate statistical techniques including principal components analysis, factor analysis, cluster analysis, discriminant analysis, logistic regression and multivariate analysis of variance. This course will emphasize practical applications rather than theory. The computer package SAS will be used for analysis. For qualified students, this course may be taken as a 500 level graduate content course. Permission of the instructor is required.
Prerequisites: MATH 350 or AM 332
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH 461A1422TTh11:00am - 12:15pm(A. Olinsky)
Spring 2018MATH 461A3361TTh11:00am - 12:15pm(A. Olinsky)

MATH 470. Statistical Design and Analysis of Experiments. 3 Credit Hours.

This course is an introduction to the design and analysis of statistical experiments. It will cover the main elements of statistical thinking in the context of experimental design and ANOVA. Students will learn to choose sound and suitable design structures and also how to explore real data sets using a variety of graphs and numerical methods and analyze these data sets from designed experiments and reach justifiable conclusions based on the analyses. This will be an applied course and will utilize the SAS statistical package. This is a SAS Certified class. For qualified students, this course may be taken as a 500 level graduate content course. Permission of the instructor is required.
Prerequisites: MATH 350 or AM 332
Session Cycle: Fall
Yearly Cycle: Annual.

Fall 2017MATH 470A1423M2:00pm - 4:30pm(K. Kennedy)

MATH 475. Applied Analytics Using SAS. 3 Credit Hours.

This course will include an in-depth review of applied analytical approaches, challenges, and solutions. A hands-on approach will be emphasized throughout the semester. A brief review of analytical techniques through material covered in MATH 350 or AM 332 will be included, as well as an introduction to further analytical tools such as multivariate analysis, predictive modeling, time series analysis and survey analysis. SAS Enterprise Guide Software will be introduced and utilized for applying hand-on analysis to real world data problems. This is a SAS Certified course. For qualified students, this course may be taken as a 500 level graduate content course. Permission of the instructor is required.
Prerequisites: MATH 350 or AM 332
Session Cycle: Spring
Yearly Cycle: Annual.

Spring 2018MATH 475A3363MWF11:00am - 11:50am(M. Salzillo)

MATH 488. Sports Statistics. 3 Credit Hours.

This course introduces a number of statistical methods beyond the elementary level and combines theory with application. The goal is for the student to develop the ability to compare and contrast a number of statistical methods focusing on their application to the sports industry. A major component of this course is to understand the strengths and weaknesses of various statistical methods.
Prerequisites: AM 231 or MATH 350
Session Cycle: Spring
Yearly Cycle: Annual.

Spring 2018MATH 488A3364TTh2:00pm - 3:15pm(J. Bishop)

MATH 490. Applied Mathematics and Statistics Capstone Seminar. 3 Credit Hours.

The students will be required to research and write an applied mathematical or statistical thesis, and make oral presentations of the results. This course will develop the student's research skills and ability to write and present applied mathematical or statistical topics. Projects that solve problems of an interdisciplinary nature are encouraged.
Prerequisites: Senior standing and permission of the instructor
Session Cycle: Spring
Yearly Cycle: Annual.

Spring 2018MATH 490A3365M3:00pm - 5:40pm(S. Nguyen)

MATH 497. Directed Study in Mathematics. 3 Credit Hours.

This is an opportunity for students to do independent, in-depth research for academic credit. The student works on an individual basis under the direction of a member of the mathematics department. The main requirement of the course is the development of a substantial paper or project.

MATH E110. Mathematical Analysis. 3 Credit Hours.

MATH 110 is an applied mathematics course. Although it is weighted more heavily toward calculus and its applications, many pre-calculus topics will be reviewed prior to the corresponding calculus topic. Topics covered will include differentiation, integration, curve sketching and optimization techniques. Applications are keyed to management, economics, finance, and the social and natural sciences. A brief unit on Mathematics of Finance will also be covered. This course meets five days a week.
Prerequisites: Math Placement exam
Session Cycle: Fall, Spring
Yearly Cycle: Annual.

Fall 2017MATH E110A1424MWF8:00am - 8:50am(E. Simonian)
Fall 2017MATH E110A1424TTh11:00am - 11:50am(E. Simonian)
Fall 2017MATH E110B1425MWF12:00pm - 12:50pm(L. Hasenfus)
Fall 2017MATH E110B1425TTh12:30pm - 1:20pm(L. Hasenfus)
Fall 2017MATH E110C1426MWF1:00pm - 1:50pm(N. Beausoleil)
Fall 2017MATH E110C1426TTh2:00pm - 2:50pm(N. Beausoleil)
Fall 2017MATH E110D1427MWF9:00am - 9:50am(L. Hasenfus)
Fall 2017MATH E110D1427TTh9:30am - 10:20am(L. Hasenfus)
Fall 2017MATH E110E1428MWF9:00am - 9:50am(K. Pitts)
Fall 2017MATH E110E1428TTh8:30am - 9:20am(K. Pitts)
Fall 2017MATH E110F1429MWF8:00am - 8:50am(K. Pitts)
Fall 2017MATH E110F1429TTh12:30pm - 1:20pm(K. Pitts)
Fall 2017MATH E110G1430MWF11:00am - 11:50am(K. Pitts)
Fall 2017MATH E110G1430TTh3:30pm - 4:20pm(K. Pitts)
Fall 2017MATH E110H1431MWF9:00am - 9:50am(P. Capuano)
Fall 2017MATH E110H1431TTh8:30am - 9:20am(P. Capuano)
Spring 2018MATH E110A3366MWF9:00am - 9:50am(K. Pitts)
Spring 2018MATH E110A3366TTh8:30am - 9:20am(K. Pitts)
Spring 2018MATH E110B3367MWF11:00am - 11:50am(K. Pitts)
Spring 2018MATH E110B3367TTh3:30pm - 4:20pm(K. Pitts)
Spring 2018MATH E110C3368MWF8:00am - 8:50am(K. Pitts)
Spring 2018MATH E110C3368TTh11:00am - 11:50am(K. Pitts)
Spring 2018MATH E110D3369MWF1:00pm - 1:50pmTBD
Spring 2018MATH E110D3369TTh12:30pm - 1:20pmTBD

MATH E201. Statistics I. 3 Credit Hours.

In this course students are taught the concepts necessary for statistical analysis and inference. Topics include descriptive statistics, classical probability, probability distributions, confidence intervals, and hypothesis testing, chi-square analysis, simple linear regression and correlation. This course meets five days a week.
Prerequisites: MATH 110 or equivalent
Session Cycle: Fall, Spring, Summer
Yearly Cycle: Annual.

Fall 2017MATH E201A1432MWF11:00am - 11:50am(L. Hasenfus)
Fall 2017MATH E201A1432TTh8:30am - 9:20am(L. Hasenfus)
Fall 2017MATH E201AE1433M6:30pm - 9:10pm(S. Walker)
Fall 2017MATH E201AE1433W6:30pm - 8:30pm(S. Walker)
Fall 2017MATH E201B1434MWF8:00am - 8:50am(L. Hasenfus)
Fall 2017MATH E201B1434TTh3:30pm - 4:20pm(L. Hasenfus)
Fall 2017MATH E201C1435MWF8:00am - 8:50am(P. Capuano)
Fall 2017MATH E201C1435TTh12:30pm - 1:20pm(P. Capuano)
Spring 2018MATH E201A3370MWF12:00pm - 12:50pm(L. Hasenfus)
Spring 2018MATH E201A3370TTh12:30pm - 1:20pm(L. Hasenfus)
Spring 2018MATH E201B3371MWF8:00am - 8:50am(L. Hasenfus)
Spring 2018MATH E201B3371TTh11:00am - 11:50am(L. Hasenfus)
Spring 2018MATH E201C3372MWF1:00pm - 1:50pm(N. Beausoleil)
Spring 2018MATH E201C3372TTh2:00pm - 2:50pm(N. Beausoleil)
Spring 2018MATH E201D3373MWF9:00am - 9:50am(L. Hasenfus)
Spring 2018MATH E201D3373TTh8:30am - 9:20am(L. Hasenfus)
Spring 2018MATH E201E3374MWF1:00pm - 1:50pm(L. Hasenfus)
Spring 2018MATH E201E3374TTh8:30am - 9:20am(L. Hasenfus)
Spring 2018MATH E201F3375MWF8:00am - 8:50amTBD
Spring 2018MATH E201F3375TTh12:30pm - 1:20pmTBD