Catalog
2015-16

Mathematics

Dr. Janet McShane
Chair of the Department

The Department of Mathematics plays a vital role in the education of all students at Manhattan College through its offerings of programs for our majors as well as for the many support courses it offers for other departments across the college.  We provide students the mathematical skills necessary to be successful in their field of study whether it is mathematics, science, engineering, business, education or the liberal arts.

The mathematics curriculum for our majors allows students to prepare for careers in business, industry, actuarial science and teaching as well as to prepare for the study of mathematics at the graduate level.  Yearlong courses in Linear Algebra, Abstract Algebra, and Analysis prepare students for further work in pure or applied mathematics.  A selection of courses from Linear Algebra, Probability, Statistics, and Operation Research form the basis for work in finance, engineering, and all of the sciences.  Students may select from a variety of advanced topics offered by faculty with expertise in an area of pure or applied mathematics.

Our classes are small which gives students the opportunity to build strong relationships with faculty.  Students are invited to participate in national mathematics competitions such as the Putnam Exam and the Mathematical Modeling Contest.  Many students participate in undergraduate research projects; funds, both internally and externally, are available to support these projects during the summer.  Students are encouraged to present their work at the Spuyten Duyvil Undergraduate Mathematics Conference, which was founded by the Mathematics Department at Manhattan College, as well as at other national and regional meetings.

Any student wishing to participate in the Study Abroad program will find the Department makes every effort to provide the needed support to allow them to finish their required course work. 

The Department is a member of the national mathematics honor society, Pi Mu Epsilon, which is dedicated to the promotion of mathematics and recognition of students who successfully pursue mathematical understanding.  Students are nominated for membership in this honor society.  The Department also nominates students who make presentations at conferences for membership in Sigma Xi, an international honor society for science and engineering.

Degree Plans
The Department of Mathematics offers the following programs:

  • Major in Mathematics 
    • Bachelor of Science Degree
    • Bachelor of Arts Degree
  • Second Major in Mathematics
  • Concentration in Applied Mathematics
  • Minor in Mathematics

Also, we work closely with the School of Education & Health on the requirements for the BS in Adolescence Education Mathematics which prepares students to teach at the secondary level and the Mathematics emphasis in the BS in Childhood Education which prepares students to teach at the elementary level. The requirements for all of these various degree programs are listed below.

General Requirements
Courses should be taken in accordance with the Plans of Study listed below.  The order in which core courses are taken is flexible but care should be taken in planning your program since some courses are not offered every semester. A minimum grade of C is required in each of the courses used for any of the listed programs (major, second major, concentration, or minor).

Major in Mathematics

BS in Mathematics

MATH 185Calculus I *3
MATH 186Calculus II *3
MATH 243Discrete Foundations3
MATH 272Linear Algebra I3
MATH 285Calculus III *3
MATH 286Differential Equations3
MATH 331Probability3
MATH 377Algebra I3
MATH 387Analysis I3
MATH 471Linear Algebra II3
MATH 478Algebra II3
MATH 489Problem Seminar3
MATH 490Complex Analysis3
Math Electives 6
CMPT 101Computer Science I3
CMPT 102Computer Science II3
PHYS 101
  & PHYS 191
Physics I
   and Physics I Laboratory
4
PHYS 102
  & PHYS 192
Physics II
   and Physics II Laboratory
4
Natural Sciences8
Total Credits67
*

Students who major in mathematics and are selected for the honors sequence will be enrolled in the Honors sections of Calculus I, II and III (MATH 187, 188 and 287).

BA in Mathematics

MATH 185Calculus I *3
MATH 186Calculus II *3
MATH 243Discrete Foundations3
MATH 272Linear Algebra I3
MATH 285Calculus III *3
MATH 286Differential Equations3
MATH 331Probability3
MATH 377Algebra I3
MATH 387Analysis I3
MATH 471Linear Algebra II3
MATH 478Algebra II3
MATH 489Problem Seminar3
MATH 490Complex Analysis3
Math Electives6
CMPT 101Computer Science I3
CMPT 102Computer Science II3
3 SCI Courses **9
Total Credits60
*

Students who major in mathematics and are selected for the honors sequence will be enrolled in the Honors sections of Calculus I, II and III (MATH 187, 188 and 287).

**

 Students may opt for one full year of a lab science (8 credits).  In this case, an additional course must be taken.  Students may also opt to replace the 3 SCI courses with 9 credits of courses within a single discipline in the School of Science.   

Second Major in Mathematics

Students from the Schools of Liberal Arts, Business, Engineering, and Science
To complete a second major in Mathematics, students from the above Schools will need to take a total of 36 credits of mathematics courses from the mathematics majors that are listed above.  These credits must include MATH 185, 186, 243, 272, 377, and 387, and at least 2 courses at the 400 level.  

Students from the School of Education & Health
Students pursuing a degree in Adolescence Education Mathematics earn a second major in mathematics by completing the following sequence as required by their degree program.

   BS in Adolescence Education Mathematics

MATH 185Calculus I3
MATH 186Calculus II3
MATH 243Discrete Foundations3
MATH 272Linear Algebra I3
MATH 285Calculus III3
MATH 361Introduction to Higher Geometry3
MATH 331Probability3
MATH 377Algebra I3
MATH 387Analysis I3
MATH 432Statistical Inference3
MATH 489Problem Seminar3
MATH 422Seminar for Mathematics Education3
CMPT 101Computer Science I3
CMPT 102Computer Science II3
CMPT 214Teaching and Learning with Technology3
Total Credits45
*

Sequencing of courses is very important, so that only one course is required during the semester when the student is doing student teaching.  MATH 331 Probability (Fall) and MATH 432 Statistical Inference (Spring) is a one-year sequence and should be taken in the junior year.  

Concentration in Applied Mathematics

The 24 credit hour Concentration in Applied Mathematics is designed to complement major study in a different discipline, and prepare students to use mathematics in the workplace. The concentration offers more depth that the minor in Mathematics and is currently approved for students in most majors in the Schools of Arts, Science, and Business.

The requirements are flexible. There is a 12 credit hour required core which includes Calculus I-II-III and Linear Algebra. Students choose the remaining 12 credits from a list of approved courses, including Differential Equations (MATH 286), Partial Differential Equations (MATH 386), Vector Calculus (MATH 385), Probability (MATH 331), Statistical Inference (MATH 432), Machine Learning (MATH 457), Operations Research (MATH 455), Linear Algebra II (MATH 471), and Topics in Mathematics (Mathematics of Finance).  Students must select at least one two-term sequence for depth.

Completion of the Concentration will be documented on the student's transcript. 

Minor in Mathematics 

The minor in mathematics consists of a minimum of 15 credits and must include a yearlong calculus sequence.  The eligible courses vary depending on the student’s major.  Specific requirements are listed below.  A grade of at least a C is required for all courses meeting the requirements for a minor in mathematics. 

Note:  The following courses may not be used toward the Mathematics minor:  MATH 100, 111, 151, 153, 221, 222, 230, 320, 321, 322 and 422. 

Application:  When the required courses are completed, a student must get a Minor Form from the department, fill it out and have it signed by the Chair of the Department of Mathematics.  An approved form will be forwarded to the appropriate dean. 

Minor Requirements for Students in the School of Science
The minor in mathematics consists of a minimum of 15 credits including MATH 185, 186, and 285.

Minor Requirements for Students in the School of Engineering
The minor in mathematics consists of a minimum of 15 credits including MATH 185, 186, 285, and 286.  The remaining course(s) can be chosen from the following:  MATH 243, 272, 331 (not approved for EECE and CE), 385 (not approved for EECE), 386, 432 (not approved for EECE or CE), 455, 490 (recommended for EECE), selected 300-400 level courses, including Topics courses, with approval of the Department Chair.

Minor Requirements for Students in the School of Liberal Arts or School of Business
The minor in mathematics consists of a minimum of 15 credits including Calculus I (MATH 154 or MATH 155 or MATH 185) and Calculus II (MATH 156 or MATH 186).  The remaining courses can be chosen from the following:  MATH 243, 272, 285, 286, 331, 385, 386, 432, 455, 490, selected 300-400 level courses, including Topics courses, with approval of the Department Chair.

BS in Childhood Education - Mathematics Plans

All students majoring in Childhood Education take the following 6 credit core sequence. 

MATH 221Mathematics for Elementary School Teachers I3
MATH 222Mathematics for Elementary School Teachers II3

In addition, students majoring in Childhood Education may choose to do either a Concentration in Mathematics or an Emphasis in Mathematics as detailed below.

BS in Childhood Education – Mathematics Concentration
Childhood Education majors may choose to concentrate in Mathematics.  These students take 30 credits in Mathematics including MATH 185, MATH 186, MATH 243, MATH 272, MATH 285, MATH 331, MATH 361, MATH 422, MATH 432 plus one additional elective approved by the Mathematics Department.

BS in Childhood Education – General Studies Concentration with Mathematics
Childhood Education majors may choose a General Studies Concentration with Mathematics as one area.  These students must take MATH 155 or 185, MATH 156 or 186, MATH 320, MATH 321, and MATH 322.     

PLAN OF STUDY

Bachelor of Science in Mathematics

First Year
FallCreditsSpringCredits
MATH 1853MATH 1863
CMPT 1013CMPT 1023
MLL*3MLL*3
ENGL 1103RELS 1103
LLRN 1023Social Science3
SCI 1001 
 16 15
Second Year
FallCreditsSpringCredits
MATH 2853MATH 2863
MATH 2433MATH 2723
PHYS 101
  & PHYS 191
4PHYS 102
  & PHYS 192
4
PHIL 1503ENGL 1503
Social Science3Free Elective3
 16 16
Third Year
FallCreditsSpringCredits
MATH 3313MATH 3873
MATH 3773MATH 4783
MATH 4713RELS Catholic Studies3
Natural Science**4Natural Science**4
HIST 1503MUSC 150 or ART 1503
 16 16
Fourth Year
FallCreditsSpringCredits
MATH 4893MATH 4903
MATH Elective3MATH Elective3
Free Electives9Free Electives6
 RELS Global/Contemporary3
 15 15
Total Credits: 125
*

 One year sequence of a modern foreign language.

**

 One year (8 credits with lab) of the same natural science is required.

Bachelor of Arts in Mathematics

First Year
FallCreditsSpringCredits
MATH 1853MATH 1863
CMPT 1013CMPT 1023
MLL*3MLL*3
ENGL 1103RELS 1103
LLRN 1023Social Science3
SCI 1001 
 16 15
Second Year
FallCreditsSpringCredits
MATH 2853MATH 2863
MATH 2433MATH 2723
SCI XXX**3SCI XXX3
PHIL 1503SCI XXX3
Social Science3ENGL 1503
 15 15
Third Year
FallCreditsSpringCredits
MATH 331***3MATH 3873
MATH 3773MATH 4783
MATH 4713RELS Catholic Studies3
HIST 1503MUSC 150 or ART 1503
Free Elective3Free Elective3
 15 15
Fourth Year
FallCreditsSpringCredits
MATH 4893MATH 4903
MATH Elective3MATH Elective3
Social Science3RELS Global/Contemporary3
Free Electives6Free Electives6
 15 15
Total Credits: 121
*

One year sequence of a Modern Foreign Language.

**

Students may opt for one (1) full year of a lab science (8 credits).  In this case, an additional course must be taken to achieve a total of 121 credits. Student may also opt to replace SCI XXX with 9 credits of courses from within a single discipline in the School of Science.

***

If  MATH 432 Statistical Inference is taken as a Math elective, it is recommended it be taken immediately following MATH 331 Probability.

Courses

MATH 096. Bridge Course for Business. 0 Credits.

This online course is intended for incoming Business students identified by the Mathematics placement exam. (Linear Analysis for Business). It includes a review of the fundamentals of algebra, functions and their graphs, logarithmic and exponential functions, Excel spreadsheets.

MATH 100. Pre-Calculus Mathematics. 3 Credits.

Basic set theory, functions, and their graphs. Topics from algebra, theory of equations, trigonometry and analytic geometry. Intended to prepare students for a course in calculus. (Meets four hours per week.).

MATH 111. Precalculus for Business Students. 3 Credits.

Review of elementary algebra, introduction to analytic geometry, functions and their graphs, logarithmic and exponential functions, polynomial functions. (Meets four hours per week).

MATH 151. Topics in Modern MathModern Mathematics. 3 Credits.

(Formerly MATH 102) An introduction to a mathematical topic of particular interest to students in humanities or social sciences. Possibilities include but not limited to the mathematics of social choice, mathematics and art, mathematics and music, modeling for environmental issues, network theory, consumer mathematics. Descriptions of particular topic chosen will be available at the time of offering.

MATH 153. Linear Math Analysis. 3 Credits.

(Formerly Math 105) Survey of business applications. Topics include financial mathematics: simple and compound interest, annuities and amortization of loans; linear optimization: solving systems of linear equations and matrix algebra; probability: elementary counting techniques, odds, and expected value. Prerequisite: A satisfactory score on the mathematics placement exam or a C or better in MATH 111 or an equivalent course is required to enroll in MATH 153.

MATH 154. Calculus Business Decisions. 3 Credits.

(Formerly Math 106) A one-semester course in the calculus of functions of one variable, intended for students in Business. Polynomial, rational, and exponential and logarithm functions. Limits, derivatives, techniques and applications of differentiation. Indefinite and definite integrals, applications of the integral. Prerequisite: A satisfactory score on the mathematics placement exam or a C or better in MATH 111 or an equivalent course is required to enroll in MATH 154.

MATH 155. Calculus for the Life Sciences I. 3 Credits.

(Formerly MATH 121) Limits, continuity, exponential/logarithmic functions, differentiation/antidifferentiation. An introduction to the definite integral. Meets four hours per week. Prerequisite: A satisfactory score on the mathematics placement exam or a C or better in MATH 100 or an equivalent course is required to enroll in MATH 155.

MATH 156. Calculus for the Life Sciences II. 3 Credits.

(Formerly MATH 122) Applications chosen from the life sciences, including population, decay, growth models, stability, and matrix methods. Volumes of solids, integration techniques, difference/differential equations. Meets four hours per week. Pre-requisite: A grade of C or better in MATH 155 or MATH 185 or MATH 121.

MATH 185. Calculus I. 3 Credits.

(Formerly Math 103) Limits, derivatives, continuity, differentiation and an introduction to the definite integral, and area between curves.(Meets four hours per week). Students are reminded that a grade of C- or lower in MATH 185 (formerly MATH 103) may indicate inadequate preparation for MATH 186 (formerly MATH 104). Prerequisite: A satisfactory score on the mathematics placement exam or a C or better in MATH 100 or an equivalent course is required to enroll in MATH 185.

MATH 186. Calculus II. 3 Credits.

(Formerly Math 104) Applications of the definite integral, transcendental functions, integration techniques and infinite series. (Meets four hours per week). Students are reminded that a grade of C- or lower in MATH 185 (formerly MATH 103) may indicate inadequate preparation for MATH 186. Prerequisite: A C or better in MATH 185, MATH 103, MATH 155, MATH 121, MATH 106 or an equivalent course is required to enroll in MATH 186.

MATH 187. Honors Calculus I. 3 Credits.

(Formerly MATH 109) Rigorous development of differential and integral calculus. Restricted to select students who will take this courses in lieu of Mathematics 185 (Meets four hours per week). Pre-requisite: Students will be selected by the professor.

MATH 188. Honors Calculus II. 3 Credits.

(Formerly MATH 110) Rigorous development of differential and integral calculus. Restricted to select students who will take this courses in lieu of Mathematics 186 (Meets four hours per week). Pre-requisite: Students will be selected by the professor.

MATH 221. Mathematics for Elementary School Teachers I. 3 Credits.

Courses for prospective teachers in elementary school who are not majoring in mathematics. The content and method will follow the current standards of the National Council of Teachers of Mathematics for the elementary level. Topics include tools for problem solving, numeration systems, and number theory.

MATH 222. Mathematics for Elementary School Teachers II. 3 Credits.

Courses for prospective teachers in elementary school who are not majoring in mathematics. The content and method will follow the current standards of the National Council of Teachers of Mathematics for the elementary level. Topics include tools for problem solving, geometry, and trigonometry.

MATH 230. Elementary Statistics. 3 Credits.

(Formerly MATH 211) An introduction to statistical methods: descriptive statistics, association between two variables, basic probability, discrete random variables, binomial and normal random variables, sampling distribution, confidence intervals, tests of significance.

MATH 243. Discrete Foundations. 3 Credits.

(Formerly MATH 213) An introduction to the mathematical concepts and techniques of discrete mathematics: Topics include principles of logical argument, modular arithmetic and congrence classes, induction, sets, functions, relations, summations, the binomial theorem cardinality of sets. Topics form the mathematical basis of computer science and are pivotal to the study of advanced mathematics. Pre-requisite: MATH 216.

MATH 244. Discrete Mathematics II. 3 Credits.

A continuation of MATH 243. Principles of counting, permutations and combinations, discrete probability, inclusion-exclusion, combinatorial arguments, graphs, matrices, isomorphism, markov chains, graph properties, tress, search trees, weighted trees, introduction to analysis of algorithms. Pre-requisite: MATH 243.

MATH 272. Linear Algebra I. 3 Credits.

(Formerly MATH 215)Linear equations and matrices, vector spaces, sub spaces, linear independence, bases, dimension, inner product spaces, linear transformations, eigenvalues and eigenvectors, orthogonal matrices and diagonalization. Prerequisite: MATH 285.

MATH 285. Calculus III. 3 Credits.

(Formerly Math 201) Algebraic and geometric aspects of vectors, functions of several variables, partial derivatives and multiple integrals. Prerequisite: A grade of C or better in MATH 186 or MATH 156 or MATH 104 or MATH 122.

MATH 286. Differential Equations. 3 Credits.

(Formerly MATH 203) This course focuses on techniques of solving first and second order ordinary differential equations. Methods include separation of variables, variation of parameters, and the Laplace transform. Applications include linear and nonlinear models. Prerequisite: MATH 201 or MATH 209 or MATH 285 or MATH 287 or permission of the instructor.

MATH 287. Honors Calculus III. 3 Credits.

(Formerly 209) Honors equivalent to Calculus III. Algebraic and geometric aspects of vectors, functions of several variables, partial derivatives and multiple integrals. Intended to be for students who have completed the honors section of MATH 104 or MATH 186. Prerequisite: A grade of C or better in the Honors section of MATH 186 or MATH 104 or permission of the instructor.

MATH 320. Fundamental Concepts: Probability and Data Analysis. 3 Credits.

A course for prospective teachers of K-8 mathematics. The course will explore data analysis as a four-step investigative process involving question development, data production, data analysis and contextual conclusions. Topics may include describing and comparing data distributions for both categorical and numerical data, exploring bivariate relationships, exploring elementary probability, and using random sampling as a basis for informal inference. Course includes use of appropriate software. (Education only).

MATH 321. Fundamental Concepts: Algebra and Number Theory. 3 Credits.

For prospective teachers of K-8 mathematics. Topics chosen from expressions and equations, ratio, proportional relationships and inversely proportional relationships, arithmetic and geometric sequences, factors and multiples (including greatest common factor and least common multiple), prime numbers and the Fundamental Theorem of Arithmetic, divisibility tests, rational versus irrational numbers, the division algorithm, modular arithmetic, functions (linear, quadratic, and exponential). Restricted to students in EDUC.

MATH 322. Fundamental Concepts: Geometry and Measurement. 3 Credits.

For prospective teachers for K-8 mathematics. Perimeter, area, surface area, volume, and angle; geometric shapes, geometric solids, transformations, dilations, symmetry, congruence, similarity; modeling with similar triangles, and the Pythagorean Theorem and its converse. The use of appropriate software is an important component of the course. (Educ. only).

MATH 331. Probability. 3 Credits.

(Formerly MATH 420) Basic theorems in probability, random variables, distribution functions, expected values; binomial, Poisson and normal distributions. Fall. Prerequisite: MATH 104 or MATH 186.

MATH 336. Applied Statistics. 3 Credits.

(Formerly Math 333) A calculus based survey of probability and statistics with applications in social, natural sciences and engineering. Topics include probability, discrete and continuous random variables, point and interval estimation, hypothesis testing, linear models (encompassing regression and ANOVA). Prerequisite: MATH 186 or MATH 156 or equivalent.

MATH 361. Introduction to Higher Geometry. 3 Credits.

(Formerly MATH 311) A survey of axiomatic and modern geometry intended for future middle and high school teachers. Topics covered will include incidence axioms, congruence theorems for triangles, the circle theorems, implications of the fifth postulate, congruence theorems for quadrilaterals, parallelism, similarity, transformational geometry, matrix transformations, and an introduction to spherical and hyperbolic geometry. The course will incorporate the use of Geometers Sketchpad or equivalent software as a tool for verification of conjectures. Offered every other year. Spring. Prerequisites: MATH 213, MATH 215 or MATH 243, MATH 272.

MATH 375. Internship for Juniors. 3 Credits.

Students participate in an off-campus training experience closely related to one of the areas of mathematics. Frequent meetings with the advisor plus a paper are required. Prerequisites: Junior status, 3.0 GPA, and permission of the student's advisor or the Chair.

MATH 377. Algebra I. 3 Credits.

(Formerly Math 315) The first part of a two-semester sequence. An introduction to algebraic structures with an emphasis on groups, covering normal subgroups, cosets. Lagrange's theorem and the fundamental homomorphism theorems. Fall. Prerequisites: MATH 213, MATH 215 or MATH 243, MATH 272.

MATH 385. Vector Calculus. 3 Credits.

(Formerly Math 305)Review of vector algebra. Vector-valued functions. Divergence and curl. Multiple integrals; different coordinate systems. Line integrals, Greens Theorem, independence of path, conservative force fields. Surface integrals, Divergence Theorem, Stokes Theorem, Applications. Prerequisite: MATH 201 or MATH 209 or MATH 285 or MATH 287.

MATH 386. Partial Differential Equations. 3 Credits.

(Formerly MATH 308) Classification of partial differential equations. Characteristics. Derivation of the classical linear second order equations. Fourier series. Separation of variables. Initial and boundary value problems. Cauchy, Dirichlet, and Neumann problems. Prerequisite: MATH 203 or MATH 286.

MATH 387. Analysis I. 3 Credits.

(Formerly Math 313) A rigorous treatment of differential calculus of one variable: sequences, limits, continuity, the derivative. Fall. Prerequisites: MATH 201 and MATH 213 or MATH 285 or MATH 287 and MATH 243.

MATH 422. Seminar for Mathematics Education. 3 Credits.

(Formerly Math 466) This course is intended for prospective mathematics teachers. Topics in high school mathematics are examined from an advanced perspective. Topics include the real and complex numbers, functions, equations, and trigonometry. (Enrollment restricted to students in the School of Education and Health.) Spring. Prerequisites: MATH 213, MATH 215 or MATH 243 and MATH 272.

MATH 432. Statistical Inference. 3 Credits.

Sampling distributions, point estimation, interval estimation, testing statistical hypotheses, regression and correlation. Spring. Prerequisite: MATH 420 or MATH 331.

MATH 433. Advanced Mathematical Statistics I. 3 Credits.

(Formerly MATH 423) Analysis of variance, regression analysis, non-parametric and sequential tests of hypotheses. Prerequisite: MATH 421 or MATH 432.

MATH 448. Combinatorics and Graph Theory. 3 Credits.

Fundamental concepts in combinatorics include binomial coefficients, inclusion-exclusion, and generating functions. Topics in graph theory include connectivity, planarity, colorings and chromatic polynomials, and max-flow-min-cut in networks, and other applications. Not open to students with credit for CMPT 335. Pre-requisite: MATH 272.

MATH 455. Operations Research. 3 Credits.

(Formerly MATH 425) Optimization, linear programming, simplex method, duality theory. Transportation problems, scheduling problems, queuing theory. Prerequisite: MATH 215 or MATH 272 or permission of instructor.

MATH 457. Machine Learning. 3 Credits.

An introduction to the field of Machine Learning and its real-world applications. Topics include Supervised & Unsupervised Learning, Bayesian Decision Theory, Nonparametric Methods, Linear Discriminant Functions, Multilayer Neural Networks, Stochastic Methods and Cluster Analysis. Pre-requisite: MATH 285.

MATH 464. Topology. 3 Credits.

(Formerly Math 417) Beginning with a review of set theory and basic topological definitions, topological spaces are studied with metric spaces considered as examples. Compactness, connectedness, metrization theorems. An introduction to homotopy theory. Prerequisite: MATH 213 or MATH 243 or permission of instructor.

MATH 471. Linear Algebra II. 3 Credits.

(Formerly Math 325) A continuation of the topics introduced in MATH 241( formerly MATH 215) with emphasis on orthogonality, inner product spaces, eigenvalues and eigenvectors, diagonalization, quadratic forms and numerical linear algebra. Fall. Prerequisite: MATH 215 or MATH 272.

MATH 475. Internship for Seniors. 3 Credits.

Students participate in an off-campus training experience closely related to their area of mathematics. Frequent meetings with the advisor plus a paper are required. Prerequisites: Senior status, 3.0 GPA, and permission of the student's advisor or the Chair.

MATH 478. Algebra II. 3 Credits.

(Formerly Math 316)The second part of a two-semester sequence. Further study of algebraic structures, such as rings, fields and integral domains. The homomorphism theorems and applications. Spring. Prerequisite: MATH 315 or MATH 377.

MATH 488. Analysis II. 3 Credits.

(Formerly Math 314) A continuation of MATH 387 (or MATH 313). Topology of the real numbers, uniform convergence, Riemann integral, infinite series, Taylor and Fourier series, metric spaces. Prerequisite: MATH 203 and MATH 213 or MATH 286 or MATH 243.

MATH 489. Problem Seminar. 3 Credits.

(Formerly Math 460) A capstone course for senior mathematics majors. Problems will be chosen to integrate the themes of the major. Oral presentations and mathematical writing and proof will be emphasized. Spring. Prerequisites: MATH 313 or MATH 315 or MATH 387, MATH 377 or permission of instructor.

MATH 490. Complex Analysis. 3 Credits.

(Formerly MATH 407) The complex plane, functions, limits and continuity. Analytic functions, Cauchy- Riemann equations. Cauchy integral theorem and consequences. Additional topics may include: Power series, Taylor and Laurent series, classification of singularities, the Residue Theorem and its applications, conformal mapping, selected applications. Spring. Prerequisite: MATH 286 or MATH 203, MATH 243 recommended or permission of instructor.

MATH 491. Topics in Mathematics. 3 Credits.

(Formerly MATH 461-462) Admission only by permission of the Chair of the Department. This course is offered when demand warrants. Prerequisite: Permission of the chair.

MATH 492. Topics in Mathematics. 3 Credits.

(Formerly Math 461-462) Admission only by permission of the Chair of the Department. This course is offered when demand warrants. Prerequisite: Permission of the chair.

MATH 497. Mathematics Seminar. 3 Credits.

(Formerly MATH 467) A course limited to students of superior ability who wish to study some advanced topic mutually agreed upon by them, the instructor and the Department Chair. Prerequisite: Permission of the instructor and chair.

MATH 499. Independent Study. 3 Credits.

(Formerly Math 469) Individual study or research under faculty supervision. Prerequisite: Permission of the instructor and chair.

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