Mathematics Major (B.S.)  Undergraduate (Combined B.S./M.A.T. with Teacher Certification in Mathematics (PreschoolGrade 12) and Teacher of Students with Disabilities)  2011 University Catalog
You are viewing the 2011 University Catalog. Please see the newest version of the University Catalog for the most current version of this program's requirements.
The Dual Degree Dual Certification program is a 5year program that leads to teacher certification in Mathematics (grades P12), teacher certification in Teacher of Students with Disabilities, a baccalaureate degree and a masterâ€™s degree. Interested students must apply to and be admitted to the Teacher Education Program as an undergraduate. Students must successfully complete the undergraduate portion of the program in order to be admitted to the Graduate School and complete the oneyear masterâ€™s portion of the program.
Please visit the Teacher Education Program website for the required undergraduate professional sequence of courses, overall course outline, and other important Program requirements, guidelines, and procedures. Students also are strongly advised to review the Teacher Education Program Handbook.
A minimum of 120 semester hours of coursework is required for the baccalaureate degree with a minimum 2.0 overall GPA, and a minimum 2.0 major GPA. However, more than 120 semester hours may be required depending upon the major field of study. In addition to the major requirement outlined below, all university students must fulfill the set of General Education requirements applicable to their degree (for further information, see General Education Requirements).
MATHEMATICS MAJOR
Complete 48 semester hours including the following 3 requirement(s):

MATH TEACHER EDUCATION REQUIREMENTS
Complete the following 7 courses:
MATH 122 Calculus I 4 MATH 221 Calculus II 4 MATH 222 Calculus III 4 MATH 335 Linear Algebra 4 MATH 340 Probability 3 MATH 350 College Geometry 3 MATH 431 Foundations of Modern Algebra 3 
MATH TEACHER EDUCATION ELECTIVES
Complete at least 12 semester hours from the following:

MATHEMATICS COLLATERAL REQUIREMENT
Complete the following 3 courses:
CMPT 183 Foundations of Computer Science I 3 PHYS 191 University Physics I 4 PHYS 192 University Physics II 4
Course Descriptions:
CMPT183: Foundations of Computer Science I
Basic theory of digital computers. Syntax and semantics of a programming language. Algorithms: logic, design, testing and documentation. (2 hours lecture, 2 hours lab.) 3 sh.
Prerequisites: MATH 100, MATH 112, MATH 114, MATH 116, MATH 122 or MATH 221.
MATH122: Calculus I
Limits, continuity; derivative and differentiation; applications of the derivative, maxima, minima, and extreme considerations; antiderivatives; Riemann integral. (4 hours lecture.) 4 sh.
Prerequisites: MATH 111 or MATH 112 or placement through the Montclair State University Placement Test (MSUPT) or a satisfactory score on department's Calculus Readiness Test. (Students who did not satisfy the course prerequisite at MSU and students who received a grade of D, D, or D+ in the prerequisite course taken at MSU are required to demonstrate competency on the department's Calculus Readiness Test.)
MATH221: Calculus II
Riemann integral applications, transcendental functions, techniques of integration, improper integrals, L'Hospital's rule, infinite series. (4 hours lecture.) 4 sh.
Prerequisites: MATH 122.
MATH222: Calculus III
Vector algebra; partial differentiation, and extreme considerations; polar, cylindrical, and spherical coordinates, multiple integration; introduction to line integrals. (4 hours lecture.) 4 sh.
Prerequisites: MATH 221.
MATH335: Linear Algebra
The course content will cover the foundations of the algebra of vector spaces, matrix operations, matrix invertibility theorems, linear independence, span, basis, linear transformations, finite dimensional Hilbert Spaces, GramSchmidt process, projections, eigenvalues and eigenvectors, and applications. The focus of the course will be to develop advanced mathematical skills in reading and understanding abstract mathematical definitions, constructing examples, and developing mathematical proofs. Meets the University Writing Requirement for majors in Mathematics. (4 hours lecture.) 4 sh.
Prerequisites: MATH 222 or equivalent.
MATH340: Probability
Chance and variability, elements of combinatorics, Bayes' theorem, random variables, binomial, poisson and normal distributions, applications to statistics. (3 hours lecture.) 3 sh.
Prerequisites: MATH 221.
MATH350: College Geometry
Study of Euclidean and other geometries from an axiomatic point of view. (3 hours lecture.) 3 sh.
Prerequisites: MATH 221.
MATH398: Vector Calculus
Topics include the algebra of the differential and integral calculus; gradients, divergence and curl of a vector field, and integral theorems together with applications drawn from the physical sciences. (3 hours lecture.) 3 sh.
Prerequisites: MATH 222.
MATH420: Ordinary Differential Equations
A course in the theory and applications of ordinary differential equations which emphasizes qualitative aspects of the subject. Topics include analytic and numerical solution techniques for linear and nonlinear systems, graphical analysis, existenceuniqueness theory, bifurcation analysis, and advanced topics. Prerequisite: MATH 335. (4 hours lecture.) 4 sh.
Prerequisites: MATH 335.
MATH421: Partial Differential Equations
Partial differential equations arise in the mathematical modeling of many physical, chemical, and biological phenomena. They play a crucial role in diverse subject areas, such as fluid dynamics, electromagnetism, material science, astrophysics, financial modeling, and hydrogeology, for example. This course is an introduction to partial differential equations with emphasis on the wave, diffusion and Laplace equations. The focus will be on understanding the physical meaning and mathematical properties of solutions of partial differential equations. Methods of solutions include separation of variables using orthogonal series, transform methods, method of characteristics, and some numerical methods. (3 hours lecture.) 3 sh.
Prerequisites: MATH 420.
MATH423: Complex Variables
This course is a study of the arithmetic and algebra of complex numbers, and an introduction to the differentiation and integration of complex functions. Topics include: rectangular and polar form of complex numbers, algebra of complex numbers, differentiation, CauchyRiemann equations, and contour integrals. (3 hours lecture.) 3 sh.
Prerequisites: MATH 335.
MATH425: Advanced Calculus I
Properties of the real number system, limits, continuous functions, intermediate value theorem, derivative, mean value theorem, Riemann integral. (3 hours lecture.) 3 sh.
Prerequisites: MATH 335.
MATH426: Advanced Calculus II
Functions of several variables, partial derivatives, Green's theorem, Stoke's theorem, divergence theorem, implicit function theorem, inverse function theorem, infinite series, uniform convergence. (3 hours lecture.) 3 sh.
Prerequisites: MATH 425.
MATH431: Foundations of Modern Algebra
Fundamental concepts of algebra including groups, rings, integral domains and fields, with important examples. (3 hours lecture.) 3 sh.
Prerequisites: MATH 335.
MATH433: Theory of Numbers
Properties of integers, congruences, quadratic reciprocity law, primitive roots, diophantine equations, continued fractions, algebraic numbers, lattice points and partitions. (3 hours lecture.) 3 sh.
Prerequisites: MATH 335.
MATH436: Elements of Logic
Deduction, propositional functions, quantifiers, consistency, decision problems and Goedel's theorem. (3 hours lecture.) 3 sh.
Prerequisites: MATH 335.
MATH450: Foundations of Geometry
Groups of transformations, an introduction to projective geometry. (3 hours lecture.) 3 sh.
Prerequisites: MATH 335.
MATH451: Topology
Topological spaces, metric spaces, continuity, compactness, connectedness, and separability properties; topological generalizations of basic continuity theorems of advanced calculus. (3 hours lecture.) 3 sh.
Prerequisites: MATH 425.
MATH460: Introduction to Applied Mathematics
This course is a survey of applied mathematical techniques, including such topics as control theory (feedback control systems, Nyquist and Popov plots, pole shifting, Laplace transforms) and classical boundary value problems (SturmLiouville equations with solution techniques involving Fourier series). Applications will use the theory of calculus of variations which includes the variational derivative, the general variation of a functional, variation in parametric form, and the invariance of the Euler's equations. Prerequisite: MATH 335. (3 hours lecture.) 3 sh.
Prerequisites: MATH 335.
MATH463: Numerical Analysis
Finite differences, approximation theory, linear and nonlinear equations, error analysis. (3 hours lecture.) 3 sh.
Prerequisites: MATH 222 and 335.
MATH464: Operations Research I
Linear programming, transportation problem, assignment problem, duality, sensitivity analysis, network flows, dynamic programming, nonlinear programming, integer programming. (3 hours lecture.) 3 sh.
Prerequisites: MATH 335.
MATH465: Operations Research II
Game theory, queuing models, inventory models, Markov processes, reliability theory and applications. (3 hours lecture.) 3 sh.
Prerequisites: MATH 335 and 340.
MATH466: Mathematics of Finance I
Mathematical theory of interest rates, annuities, bond valuation, stock valuation, options, arbitrage, binomial trees, putcall parity, Black Scholes Model, Capital Asset Pricing Model (CAPM) and portfolio selection. (3 hours lecture.) 3 sh.
Prerequisites: FINC 321, MATH 340.
MATH467: Mathematics of Finance II
Mathematical theory of forward/futures contract, hedging with futures, fixed income market analysis, duration, immunization, financial swaps, interest swaps, currency swaps, future options, Black Scholes Model, putcall parity, binomial trees, other options, and volatility. This course can be used as part of preparation for SOA/CASACT Actuarial Examinations, Course 2. (3 hours lecture.) 3 sh.
Prerequisites: MATH 466.
MATH468: Fluid Mechanics
Mechanics of continuous media, liquids and gases; stress, viscosity, NavierStokes and Euler Equations, exact solutions, potential flow, circulation and vorticity, dimensional analysis and asymptotic models, boundary layers, stability theory and applications to industrial and environmental problems. Cross listed with PHYS 468. (3 hours lecture.) 3 sh.
Prerequisites: PHYS 210 or MATH 222.
MATH469: Mathematical Modeling
The art of constructing mathematical models for "real world" problems, solving the model, and testing the accuracy of the model. Problems will be selected from business, science, computer science, and the social sciences. (3 hours lecture.) 3 sh.
Prerequisites: MATH 335, and MATH 340, and MATH 464 or STAT 330.
MATH471: Selected Topics in Modern Mathematics
Professionalized view of junior and senior high school mathematics topics: functions, real and complex numbers, analytic geometry, absolute value and inequalities, sets and logic, flow charting, linear programming. (3 hours lecture.) 3 sh.
Prerequisites: Admission to Teacher Education Program and MATH 335.
MATH485: Applied Combinatorics and Graph Theory
Problem solving by counting, enumeration, and graph theory. Permutation, combinations, binomial coefficients, generating functions, and recurrence relations, partitions, inclusionexclusion, Polya's formula, graph theoretic models, trees, circuits, networks, matching, and their applications to puzzles, games, tournaments, traffic patterns, transportation. (3 hours lecture.) 3 sh.
Prerequisites: MATH 340.
MATH487: Introduction to Mathematical Cryptography
A modern introduction to the application of number theory, combinatorics and abstract algebra to cryptography. The mathematics of a broad range of current applications to security issues in industry and government will be covered. Use of Maple Computer Algebra System. (3 hours lecture.) 3 sh.
Prerequisites: MATH 335.
MATH490: Honors Seminar
This course will concentrate on subject matter not usually covered within standard mathematics courses. A written and oral report are required. (3 hours seminar.) 3 sh.
Prerequisites: MATH 335 and departmental approval.
MATH495: Topics for Undergraduates
Study of advanced topics in undergraduate mathematics. May be repeated once for a maximum of 6.0 credits as long as the topic is different. () 1  3 sh.
Prerequisites: MATH 335 and departmental approval.
MATH497: Research I
Individual research in a mathematical area agreed upon by the student and the instructor. The results of the research will be a basis of a seminar or colloquium to be given by the student. Students must not accumulate more than 6 credits total in courses MATH 497, 498. () 1  3 sh.
Prerequisites: MATH 335 and departmental approval.
MATH498: Research II
Individual research in a mathematical area agreed upon by the student and the instructor. The results of the research will be a basis of a seminar or colloquium to be given by the student. Students must not accumulate more than 6 credits total in courses MATH 497, 498. () 1  3 sh.
Prerequisites: MATH 335 and departmental approval.
PHYS191: University Physics I
This onesemester calculusbased course including laboratory is a study of the principles of physics and some applications to society's problems. Topics covered include mechanics, thermodynamics, fluids, and harmonic motion. (3 hours lecture, 2 hours lab.) 4 sh.
Prerequisites: MATH 122 is prerequisite or corequisite.
PHYS192: University Physics II
Calculusbased course. Study of some principles of physics and some applications to society's problems. Topics include: wave motion, sound and noise pollution, optics, electricity, lasers, nuclear theory, radiation, nuclear reactors, waste disposal. (3 hours lecture, 2 hours lab.) 4 sh.
Prerequisites: MATH 221 is prerequisite or corequisite.
STAT330: Fundamentals of Modern Statistics I
Displaying, describing and modeling data; arrangements for producting data; probability; methods for drawing conclusions from data: significance testing, confidence interval estimation, linear regression, analysis of variance. Examples from many disciplines including the social and natural sciences. Statistical software is used. (3 hours lecture.) 3 sh.
Prerequisites: MATH 221.
STAT441: Statistical Computing
This course is designed: (1) to acquaint students with the use of the computer in solving statistical problems, and (2) to develop intermediate level statistical methodology. Several statistical computing packages and the student's own programs will be utilized. (3 hours lecture.) 3 sh.
Prerequisites: STAT 330 or STAT 401 and computer experience.
STAT442: Fundamentals of Modern Statistics II
Continuation of STAT 440. Principles of statistical inference, categorical data analysis, one and twoway anova, multiple linear regression, nonparametric methods, bootstrap methods. Examples from a wide variety of disciplines. Statistical software is used. (3 hours lecture.) 3 sh.
Prerequisites: STAT 330 or STAT 401 or equivalent.
STAT443: Introduction to Mathematical Statistics
Develops statistical methods from probability theory. Topics discrete and continuous probability distributions, estimation, inference and hypothesis testing. (3 hours lecture.) 3 sh.
Prerequisites: MATH 340 and either STAT 330 or STAT 401.
STAT495: Topics in Statistical Science
Guided study of selected topics in statistical science such as exploratory data analysis, applied multivariate methods, statistical quality control, design of experiment. May be repeated once for a maximum of 6.0 credits. () 1  3 sh.
Prerequisites: STAT 330 or STAT 401 and department approval.
STAT497: Undergraduate Research in Statistical Science
Individual research in an area of statistical science agreed upon by the student and instructor. The results of the research will be the basis of a seminar or colloquium to be given by the student. May be repeated five times for a total of six credits. Students must not accumulate more than six credits total in courses MATH 497, MATH 498, STAT 495, STAT 497. () 1  3 sh.
Prerequisites: STAT 442 and departmental approval.