Mathematical Sciences

Taken simultaneously with 92.128, this 1-credit course offers students retaking 92.128 supplemental instructions to foster a greater opportunity for successful completion of Calculus IA. The course credit cannot be used to satisfy the credits required for graduation, but may be used to satisfy credits required for full time student status.

Taken simultaneously with 92.122, this 1-credit course offers students, who are either retaking 92.122 or have completed 92.121 with a D or D+ grade, supplemental instructions to foster a greater opportunity for successful completion of Management Calculus. The course credit cannot be used to satisfy the credits required for graduation, but may be used to satisfy credits required for full time student status.

Prerequisites: Co-Req: 92.122 Management Calculus.

Taken simultaneously with 92.121, this 1-credit course offers students retaking 92.121 supplemental instructions to foster a greater opportunity for successful completion of Management Precalculus. The course credit cannot be used to satisfy the credits required for graduation, but may be used to satisfy credits required for full time student status.

Prerequisites: Co-Req: 92.121 Management Pre-Calculus

This course provides supplemental instruction in mathematics to students whose Elementary Algebra Accuplacer exam scores indicate the need for such instruction. The credits in this course can not be used to satisfy the credits required for graduation, but may be used to satisfy the credits required for full time student status.

Prerequisites: Co-Req: 92.111 Quantitative Reasoning.

This course provides supplemental instruction in mathematics to students whose Elementary Algebra Accuplacer exam scores indicate the need for such instruction. The credits in this course can not be used to satisfy the credits required for graduation, but may be used to satisfy the credits required for full time student status.

Prerequisites: Co-Req: 92.283 Intro to Statistics.

The Number and Operations course for elementary and middle school teachers examines the three main categories in the Number and Operations strand of Principles and Standards of School Mathematics (NCTM) -- Understanding numbers, representations, relationships, and number systems; the meanings of operations and relationships among those operations; and reasonable estimation and fluent computation. Not for Science / Engineering majors.

A review of algebra with the goal of enhancing the student's understanding of basic mathematics. This course lays the groundwork for further courses such as Mathematical Perspectives and Introduction to Statistics. For liberal arts majors only.

An introduction to the mathematics concepts and skills important in modern society, even for non-technical pursuits. The course will emphasize conceptual understanding as well as a facility in performing elementary computations. Topics to be examined will include types of reasoning, problem-solving methods, techniques of estimation, algebraic essentials, and the nature of probability and statistics. No credit in Science or Engineering.

An intensive one semester course for students planning to take calculus or statistics courses who require additional preparation. Topics taken from algebra, trigonometry, and plane analytic geometry. A student may not take both 92.113 and 92.121. No credit toward a degree in science or engineering.

Angles and their measure, the trigonometric functions, solving triangles, law of sines, law of cosines, circular functions and their graphs, and trigonometric identities. No credit toward a degree in science or engineering.

Prerequisites: Pre-Req: 92.121 Management Precalculus or 92.128 Calculus IA, or a grade of CR in NC.MGTPRE or NC.MGTCAL.

Review of algebra: operations on the real numbers, factoring, radical notation, and rational exponents. Linear and quadratic equations, rational expressions. Graphs of functions, straight lines, parabolas, exponential and log functions, systems of equations, and linear mathematical models. Prerequisites: No credit for math/science/engineering majors.

Differential calculus: limits, continuity, derivatives, differentials, higher-order derivatives, implicit differentiation, maxima and minima of functions, and applications of derivatives to business and economics. Integrals and Applications to business. No credit in Science or Engineering

Prerequisites: Pre-Req: 92.121 Management Precalculus or 92.128 Calculus IA, or a grade of CR in NC.MGTPRE or NC.MGTCAL.

Reviews angles and their measure, the trigonometric functions, solving triangles, law of sines, law of cosines, circular functions and their graphs, vectors and trigonometric identities. Not for Science / Engineering majors.

Prerequisites: Pre-Req: 92.121 Management Precalculus or 92.128 Calculus IA, or a grade of CR in NC.MGTPRE or NC.MGTCAL.

Reviews some high school mathematics for prospective calculus students. The following topics are included: fractions, exponents and radicals, relations, functions, and graphs; exponential and and logarithmic functions; trigonometry and the trigonometric functions; imaginary and complex numbers; polynomials and rational functions; the conic sections. Successful completion of this course with a grade of C or better will give students credit for 92.121 and 92.123.

Serves as a first course in calculus and provides a brief review of analytic geometry and trigonometric functions. The course progresses to the study of inverse functions, limits, continuity, derivatives, rules for differentiation of algebraic and transcendental functions, chain rule, implicit differentiation, linear approximation, differentials, and maximum and minimum values.

Prerequisites: Pre-Req: 92.123 Precalculus Math II.

Serves as a continuation of 92.125. The course covers L�Hopital�s Rule, optimization problems, Newton�s method, sigma notation, integration, area between curves, volume, arc length, surface area, integration by parts, trigonometric substitution, partial fraction decomposition, and improper integrals.

Prerequisites: Pre-Req: 92.125 Calculus A.

A review of precalculus (algebra and trigonometry) together with development of problem solving skills. No credit for math/science/engineering majors.

Provides a review of pre-calculus algebra and trigonometry integrated with the first half of Calculus I: limits, continuity, derivatives, basic derivative formulas, chain rule, implicit differentiation. For math/science/engineering majors, only two credits of this course may be applied toward a degree.

Provides a review of pre-calculus algebra and trigonometry integrated with the second half of Calculus I: L'Hospital's Rule, optimization problems, curve sketching, Newton's Method, antiderivatives. For math/science/engineering majors, only two credits of this course may be applied toward a degree. For pre-requisites, completion of this course is equivalent to 92.131 Calculus I.

Prerequisites: Pre-Req: 92.128 Calculus IA, or a grade of CR in NC.CALC1A.

Serves as a first course in calculus. Functions, limits, continuity, derivatives, rules for differentiation of algebraic and transcendental function; chain rule, implicit differentiation, related rate problems, max/min problems, and curve sketching. Integrals and areas.

Serves as a continuation of Calculus I. Volume, arc length, surface area, pressure and force. Differentiation and integration of trigonometric, inverse trigonometric, exponential, logarithmic, and hyperbolic functions. Improper integration, infinite series, Taylor and MacLauren series.

Prerequisites: Pre-Req: 92.131 Calculus I with a 'C' or better, or a grade of CR in NC.CALC1.

This is a single variable calculus course with applications to the life sciences. Review of basic algebra, functions and graphs. The Derivative: Basic definition, formulas and methods. Applications of differentiation, including curve sketching and maximum-minimum problems. Study of exponential and logarithmic functions motivated by growth, decay and logistic modes. Introduction to integration, techniques, applications and the fundamental theorem. Approximation methods.

Prerequisites: Pre-Req: Biology majors

This course is a continuation of 92.138. Review of integration and methods. Use and application of matrices including inverses, determinants, eigenvalues and eigenvectors. Differential and integral calculus for functions of several variables, including maximum-minimum problems. Method of least squares. First-order differential equations. Higher-order and systems of linear differential equations. Stability and trajectories using matrices. Population models and approximation techniques.

Prerequisites: Pre-req: 92.138 Calculus for the Life Sciences I.

This course covers the same topics as 92.131 Calculus I, but in an enriched environment.

This course covers the same topics as 92.132 Caluculus II, but in an enriched environment.

Prerequisites: Pre-req: 92.141 Honors Calculus I, or permission of Instructor.

An introduction to the nature of mathematics, providing insights into what mathematics is, what it accomplishes, and how it is pursued as a human enterprise. The course will stress concepts and relevance to modern experience, with topics to be selected at the discretion of each instructor from a wide variety of interesting and illustrative fields of mathematics. No credit in Science or Engineering.

NOTE: This course is no longer offered under this course number. The course is now offered under 92.283 Introduction to Statistics.

This is an intensive hands-on course intended to teach the student basic personal computer skills in a lecture/lab format using MS Office. The student will learn the fundamental concepts of word processing, spreadsheets, and presentation development.

The lecture/lab course expands on the skills and knowledge learned in 90.202. The student will learn intermediate level features of word processing, business graphics and database features of spreadsheets.

This lecture/lab course is intended to teach the student advanced techniques for working with, customizing, and integrating the MS-Office suite of products.

Engage in lab-based activities designed to strengthen their problem-solving skills and expand knowledge of the topics in secondary mathematics, focusing especially on topics from precalculus and the transition to calculus. Explore a variety of contexts that can be modeled using families of functions. Topics include conic sections, parametric equations and polar equations. Multiple representations, transformations, data analysis techniques and interconnections among geometry, probability and algebra. Quantitative approaches and building relationships between discrete and continuous reasoning will be recurrent themes.

Prerequisites: Pre-Req or Co-Req: 92.132 Calculus II.

Elementary set theory and solution sets of systems of linear equations. An introduction to proofs and the axiomatic methods through a study of the vector space axioms. Linear analytic geometry. Linear dependence and independence, subspaces, basis. Inner products. Matrix algebra. Applications of the above will also be discussed.

Prerequisites: Pre-Req: 92.132 Calculus II with a 'C-' or higher.

Linear transformations. Linear operators, change of basis, inner product and the diagonalization problem. Quadratic forms. Convex sets and geometric programming, input/output models for an economy, Markov chains, other applications of linear algebra.

Prerequisites: Pre-Req: 92.221 Linear Algebra I.

Serves as a continuation of 92.126. This course covers integration by parts, integration of trigonometric integrals, trigonometric substitution, partial fraction, numeric integration, improper integrals, L'Hopital's Rule, indeterminate forms, sequences, infinite series, integral tests, comparison tests, alternating series tests, power series, Taylor series, polar coordinates, graphs and areas in polar coordinates, and parametric equations.

Serves as a continuation of 92.225. This course covers curvature, cylindrical surfaces, dot and cross products, curves and planes in three space, cylindrical and spherical coordinates, functions of two variables, chain rule, directional derivatives and gradient, tangent planes, and double and triple integrals in rectangular, polar, cylindrical and spherical coordinate systems.

Prerequisites: Pre-req: 92.225 Calculus C

This is a mathematics content course which covers the geometry/measurement strands of the Massachusetts Curriculum Frameworks in Mathematics at a collegiate level. The goal is not only to prepare students for the elementary mathematics MTEL, but to lay the groundwork for graduate work in elementary mathematics education. The course centers around "Big Ideas" such as Equivalence, Proportionality, Transformations; and Shapes & Solids. Not for Science / Engineering majors.

Prerequisites: Math, Science, Engineering majors and Education minor only.

Serves as a continuation of Calculus II Polar Coordinates, parametric equations, vectors and analytic geometry in space. Functions of several variables, partial derivatives, and chain rule. Tangent planes and normal lines. Maxima and minima, Lagrange multipliers, and multiple integrals.

Prerequisites: Pre-Req: 92.132 Calculus II with 'C' or better.

An introduction to mathematics related software. Topics from Calculus & Differential Equations will be explored using a symbolic package like Maple. the course will also introduce LaTeX, the standard for typesetting mathematics.

Prerequisites: Pre-Reqs: 92.231 Calculus III & 92.234 Differential Equations or 92.236 Eng Differential Equations.

Classification and solution of ordinary differential equations of the first order and higher orders. The Laplace transform. Applications .

Prerequisites: Pre-Req: 92.132 Calculus II with a 'C-' or higher.

Introduction to differential equations with an emphasis on engineering applications. Topics include first-order equations, higher-order linear equations with constant coefficients, and systems of first-order equations. Applications of each topic are introduced and qualitative, analytical, and numerical solution techniques are studied. Laplace transform methods are discussed. The software package MATLAB may be used throughout the course.

Prerequisites: Pre-Req: 92.132 Calculus II.

Covers the same topics as 92.231 Calculus II, but in an enriched environment.

Introduction to differential equations. Topics include first-order equations, second-order and higher-order linear equations, systems of first-order linear equations with constant coefficients, and Laplace transforms.

Prerequisites: Pre-Req: 92.132 Calculus II.

Examines the programming principles of FORTRAN including input-output, arithmetic and control statements, arrays, functions and subroutines. Structured programming will be emphasized. Students will process several problems.

Serves as an introduction to computer programming using the Pascal language. Topics to be discussed include the elements of algorithm design and data structures; algorithm development by stepwise refinement; language control structures, functions and procedures; the standard data types; scalar data types; and an introduction to structured types. Students will process a number of programs on the University computer.

Introduces students to the techniques of programming in C. The language syntax, semantics, its applications and the portable library are covered.

An introduction to descriptive statistics, graphing and data analysis, probability laws, discrete and continuous probability distributions, correlation and regression, inferential statistics. No credit for Math, Science, or Engineering majors.

Prerequisites: Not for Mathematics Majors.

Discusses vector analysis, Green's Theorem, Divergence Theorem, Stokes' Theorem, Fourier series, integrals, and partial differential equations of physics and engineering.

Prerequisites: Pre-Reqs: 92.231 Calculus III & 92.234 Differential Equations or 92.236 Eng Differential Equations.

Introduces students to matrix algebra, solution of systems of linear equations, eigenvalues and eigenvectors, solution of differential equations by matrix methods, series solution of differential equations, Bessel and Legendre functions, and Sturm-Liouville problems.

Prerequisites: Pre-Reqs: 92.231 Calculus III & 92.234 Differential Equations or 92.236 Eng Differential Equations.

Presents real and complex number systems. Sequences and series of complex numbers. Theory of metric spaces: completeness, compactness, continuity, uniform continuity. Differentiability of functions, and Taylor's Theorem.

Prerequisites: Pre-Req: 92.221 Linear Algebra I and 92.231 Calculus III.

Studies the sequences and series of functions, uniform convergence, elementary functions, and the functions between Euclidean Spaces: the derivative as a linear map, the Jacobian, inverse function theorem, implicit theorem, Taylor's theorem. Integration of real valued functions on Euclidean space, fundamental theorem of the integral calculus, and the change of variables formula will also be covered.

Prerequisites: Pre-Req: 92.305 Intro to Real Analysis I.

Probability, random variables, discrete and continuous densities, expectation and variance, special distributions (binomial, Poisson, normal, gamma, etc.), moment generating functions, joint and conditional distributions, transformations of variables, sampling, central limit theorem.

Point estimation and confidence intervals, hypothesis testing, correlation, linear regression, analysis of variance for the one- and two-way design, nonparametric methods, chi-square tests for contingency tables.

Introduces students to some of the spectacular developments in the new science of chaos by studying the field of mathematics known as dynamical systems. Students will do computer experiments and write up lab reports. Topics covered include: orbits, graphical analysis, periodic points, bifurcations, quadratic family, transition to chaos, symbolic dynamics, Chaos, Sarkovskii's theorem, Schwarzian derivative, fractals, Julia sets, and the Madelbrot set.

Addresses programmers who are required to port code or move programs between various platforms and environments.

A two-part learning course. The first half of the semester takes place in the classroom with students working on a methematics project. The function of the project is to learn some mathematics and serve as a model for how to approach a research project. In the second half of the semester, with the course instructor as mentor, students work with grade 6-12 students in a local school to develop a project for their school mathematics fairs. As a final product, students will submit a two-part report consisting of a poster presentation of their own project and a diary of experiences in mentoring the math fair projects.

Presents propositional logic, combinatorics, methods of proof, mathematical systems, algebra of sets, matrix algebra, relations and functions, recursion and generating functions, applications to computer science, and graph theory.

Prerequisites: Pre-Req: 92.131 Calculus I.

Examines graph theory, trees, algebraic systems, Boolean algebra, groups, monoids, automata, machines, rings and fields, applications to coding theory, logic design, and sorting.

Prerequisites: Pre-Req: 92.321 Discrete Structures I.

This course is an introduction to symbolic logic. Symbolic logic provides a solid foundation in formal reasoning for students preparing for further study in mathematics, linguistics,cognitive science, computer science or philosophy. Topics include propositional logic, first-order logic and systems of deduction. Tarski's notion of model, and the completeness and incompleteness theorems of Godel. Prerequisite: 92.321.

Prerequisites: Pre-Req: 92.131 Calculus I.

Basic concepts of data. Linear lists, strings, arrays, and orthogonal lists. Trees and graphs. Storage systems and structures. Storage allocation and collection. Multilinked structures. Symbol tables, searching and sorting (ordering) techniques.

Prerequisites: Pre-Req: 92.231 Calculus III.

Focuses on the theory and application of numerical techniques including error analysis. Also discusses solution of linear, nonlinear and differential equations, interpolation, numerical integration, and curve fitting. Computer solutions are emphasized.

Prerequisites: Pre-Reqs: 92.231 Calculus III & 92.234 Differential Equations or 92.236 Eng Differential Equations.

Computer analysis of data derived from research conducted in physical, social, and life sciences. Data preparation. Data modification, file manipulation, and descriptive statistics using SPSS. Programming ability is not required. No credit in Science or Engineering.

Prerequisites: Pre-Req: 92.283 Introduction to Statistics or equivalent.

Presents the programming principles of COBOL, the Common Business Oriented Language. Identification, environment, data and procedures divisions, introduction to compilation procedures and diagnostic processing will be covered. Programming of basic applications, such as inventory and accounting problems is also discussed.

Discusses advanced FORTRAN programming techniques including multidimensional arrays, all FORTRAN data types, character data, file manipulations, advanced subprogram argument passing and multidimensional array addressing. Additional topics include testing and debugging, numerical operating system and implementation of algorithms.

Serves as a continuation of 92.365. Advanced programming problems in COBOL, discussion of COBOL systems software, sophisticated routines and generalized business file manipulation will all be presented.

Student works with an advisor to develop a proposal for a senior project that will be carried out as part of 92.475 Senior Seminar II. Generally taken during the spring of the junior year. Prerequisite: permission of instructor.

Introduction to experimental design, data analysis and formal statistical procedures from an applied point of view.

Prerequisites: Pre-Req: 92.132 Calculus II with a 'C-' or higher.

Provides a one-semester course in probability and statistics with applications in the engineering sciences. Probability of events, discrete and continuous random variables cumulative distribution, moment generatory functions, chi-square distribution, density functions, distributions. Introduction to estimation, hypothesis testing, regression and correlation.

Prerequisites: Pre-Req: 92.132 Calculus II.

The real numbers, completeness, sequences of real numbers, functions, continuity, uniform continuity, differentiability, the Riemann integral, series or real numbers, sequences and series of functions, uniform convergence, power series.

Prerequisites: Pre-req: 92.132 Calculus II and 92.321 Discrete Structures I.

Addresses the topics of probability, random variables, discrete and continuous densities, expectation and variance, special distributions (binomial, Poisson, normal, etc.), moment generating functions, joint and conditional distributions, transformations of variables, sampling, and the central limit theorem.

Discusses point estimation and confidence intervals, sufficiency, efficiency, Fisher's Lemma, Cramer-Rao bound, hypothesis testing, correlation, linear regression, analysis of variance for the one- and two-way design, non parametric methods, chi-square tests for contingency tables.

This course explores the roles of mainframes, PC�s and hand calculators in instruction, examine some of the available software and consider their use in a variety of areas of secondary mathematics, such as algebra, geometry (Euclidean and analytic), probability and statistics and introductory calculus. No credit in Science or Engineering.

Discusses complex numbers, functions of a complex variable, mappings, derivatives, analytic functions, elementary functions. Laurent series, residues and poles, contour integration.

Prerequisites: Pre-Req: 92.231 Calculus III.

Examines transformations, conformal mappings, boundary conditions, applications in heat conduction, electrostatic potential, and fluid flow, gamma and beta functions, Inverse Laplace transform, and Riemann surfaces.

Prerequisites: Pre-Req: 92.511 Complex Variables I.

Studies congruencies and the Chinese Remainder Theorem, Primitive roots, quadratic reciprocity, approximation properties of continued fractions, Pell's equation. Recent application of number theory such as primality testing, cryptology, and random number generation will also be covered.

Prerequisites: Pre-Req: 92.221 Linear Algebra I or 92.321 Discrete Structures I.

Continuation of Neural Networks I.

A project -based course starting with an introduction to the basic features of Mathematica. A project that allows the student to focus on certain features in more detail is required and occupies the second half of the course.

Focuses on: mathematical resources, ability to use heuristics, the student's beliefs about the use of mathematics to solve problems, and the student's self-confidence as a problem solver. Effective strategies for incorporating problem solving in the curriculum will also be discussed.

Prerequisites: Pre-Req: 92.221 Linear Algebra I or 92.321 Discrete Structures I.

Elementary group theory, groups, cosets, normal subgroups, quotient groups, isomorphisms, homomorphisms, applications.

Prerequisites: Pre-Req: 92.221 Linear Algebra I.

Discusses elementary rings and field theory, quotient rings and ideals, homomorphism of rings, rings of polynomials, algebraic extensions, automorphisms of fields, separable extensions, and the Galois Theory.

Prerequisites: Pre-Req: 92.421 Algebraic Structures.

Metric spaces, topological spaces, connectedness, compactness, the fundamental group, classifications of surfaces, Brouwer's fixed point theorem.

Prerequisites: Pre-Req: 92.305 Intro to Real Analysis I.

This course is designed for current and prospective geometry teachers. In addition to the development of Euclidean geometry, students will become familiar with geometry applications in Geometer�s Sketchpad software, and to a lesser degree with other geometry software applications including Geogebra, Cabri, Maple and/or Mathematica. There will be an introduction to spherical and hyperbolic geometry and triangle measurements will be computed for each. Calculus based derivations of area and volume for surfaces and solids will be generated and related to Euclidean geometry topics.

Prerequisites: Pre-Req: 92.221 Linear Algebra I or 92.321 Discrete Structures I.

Examines ancient numeral systems, Babylonian and Egyptian mathematics, Pythagorean mathematics, duplication, trisection, and quadrature, Euclid's elements and Greek mathematics after Euclid, Hindu and Arabian mathematics, European mathematics from 500 to 1600, origins of modern mathematics, analytic geometry, the history of calculus. Also covers the transition to the twentieth century and contemporary perspectives.

Focuses on partial differential equations of physics and engineering, boundary value problems, Fourier series, convergence tests, Sturm-Liouville problems, orthogonal systems, generalized Fourier series, and Fourier integrals and applications.

Prerequisites: Pre-Reqs: 92.231 Calculus III & 92.234 Differential Equations or 92.236 Eng Differential Equations.

Prerequisites: Pre-Req: 92.234 Differential Equations or 92.236 Eng Differential Equations.

Representation of Signals: Fourier analysis, fast Fourier transforms, orthogonal expansions. Transformation of signals: linear filters, modulation. Band-limited signals. Sampling. Uncertainty principle. Windows and extrapolation. Applications to medical imaging and array processing.

Prerequisites: Pre-Reqs: 92.231 Calculus III & 92.234 Differential Equations or 92.236 Eng Differential Equations.

Applications of mathematics to real life problems. Topics include dimensional analysis, population dynamics wave and heat propagation, traffic flow.

Prerequisites: Pre-Req: 92.234 Differential Equations or 92.236 Eng Differential Equations.

A survey of topics in mathematical statistics including those covered in the second actuarial exam. Maximum likelihood estimation, sufficient statistics, completeness and uniqueness, likelihood ratio tests, UMP tests, Rao-Blackwell theorem, non-central chi-squared and F distribution, SPRT, some multivariate distributions.

Serves as a continuation of 92.362 including: numerical solution of ordinary and partial differential equations, boundary value problems, curve-fitting, error analysis and computer solutions.

Prerequisites: Pre-Req: 92.362 Numerical Analysis.

Presents absolute machine language coding and the symbolic programming language. The coding of practice problems on a high-speed digital computer using the basic computer instructions including arithmetic, input-out, logic, control operations and data manipulation will be covered.

Introduces the syntax and semantics of the programming language ADA, including data structures and types, control structures, tasks, packages and generics. Practical exercises involving the language will be included.

For those students interested in graduate school or industry. Three to five students work as a team for a full academic year to solve a single open problem contributed from a company or government agency. Designed to expose students to original research, large-scale problem solving and demands on mathematical research in society.

Presents procedures in model construction and computerized simulation, modeling tools and techniques, model conceptualization and implementation, and selected applications of simulation.

Addresses basic concepts of assembly programs and compilers, macro generators, utility programs, supervisions, monitors, and high-level languages.

Presents a general study of the design and development of computer-oriented data processing systems including: the approach requirements of the system, developing the solution, data controls, system controls, system evaluation, and reporting to management.

Serves as a continuation of 92.463. Topics include: finalizing and implementing the system, post-installation evaluation, interdepartmental coordination, and case studies.

Undergraduate seminar on advanced mathematical topics. Students are required to develop an understanding of an advanced subject beyond the scope of an existing course or synthesize two or more different areas form their curriculum. Students are required to participate in the seminar, present their results to the Department and write a substantial thesis in their topic area. Essential course elements include library research, original research, and both verbal and written exposition. The first semester is a graduation requirement for majors in mathematics.

Prerequisites: Pre-Req: 92.375 or 92.474 Senior Seminar I.

An optional second semester seminar to allow for continuation of study initiated in Senior Seminar I.

Prerequisites: Pre-Req: 92.475 Senior Seminar II.

N/A

Point estimation, confidence intervals, hypothesis testing. Two-sample t-test. Correlation and linear regression. The bivariate normal distribution. Analysis of variance for one-and two-way designs. F tests. Nonparametric methods. Chi-squared tests for contingency tables. Generalized likelihood ratio. C.R. bound. Consistency. Prerequisite: 92.386.

Prerequisites: Pre-Req: 92.386 Prob & Stats I.

Individual study for the student desiring more advanced or more specialized work. Course may not be substituted for scheduled offerings. Prerequisite: Permission of Department Chair.

Individual study for the student desiring more advanced or more specialized work in algebra. May be repeated for a total of six semester credits. Course may not be substituted for scheduled offerings.

Individual study for the student desiring more advanced or more specialized work in analysis. May be repeated for a total of six semester credits. Course may not be substituted for scheduled offerings.

Individual study for the student desiring more advanced or more specialized work in geometry. May be repeated for a total of six semester credits. Course may not be substituted for scheduled offerings.

Individual study for the student desiring more advanced or more specialized work in Statistics. May be repeated for a total of six semester credits. Course may not be substituted for scheduled offerings. Prerequisite: Permission of Department Chair.

Allows for student reading, writing and criticism of topics from current literature. Review of some important elements of undergraduate work.