University of Vermont

2012-2013 Catalogue

Courses offered by the Mathematics and Statistics Department


Courses in Mathematics

MATH 001 - Elementary College Algebra
Review of fundamental operations and a more extensive study of fractions, exponents, radicals, linear and quadratic equations, ratio, proportion, variation, progressions, and the binomial theorem. Topics normally included in intermediate algebra in high school. Students who have satisfactorily completed two years of high school algebra, or the equivalent, receive no credit for this course. Offered only in Evening Division and Summer Session. Prerequisite: One year of high school algebra.
Credits: 3.
MATH 009 - College Algebra
Sets, relations, functions with particular attention to properties of algebraic, exponential, logarithmic functions, their graphs and applications in preparation for MATH 019. May not be taken for credit concurrently with, or following receipt of, credit for any mathematics course numbered MATH 019 or above. Pre/co-requisites: Two years of secondary school algebra; one year of secondary school geometry.
Credits: 3.
MATH 010 - Pre-Calculus Mathematics
Skills in working with numerical, algebraic, and trigonometric expressions are developed in preparation for MATH 021. May not be taken for credit concurrently with, or following receipt of, credit for any mathematics course numbered MATH 019 or above. Prerequisite: Two years of secondary school algebra; one year of secondary school geometry.
Credits: 3.
MATH 015 - Elementary School Math
Operations with real numbers: decimals, fractions, percents, integers. Set operations, Venn diagrams, algebra, and problem solving provide background for future instruction in elementary/middle school mathematics. Prerequisite: Three years of secondary school math.
Credits: 3.
MATH 016 - Fund Concepts Elem School Math
Topics include geometry, measurement, probability, statistics, algebra, number theory, and problem solving to provide background for future instruction in elementary and middle school mathematics. Prerequisite: Three years of secondary school math.
Credits: 3.
MATH 017 - Applications of Finite Math
Introduction to mathematics of finite systems with applications, such as probability, statistics, graph theory, fair division and apportionment problems, voting systems. Prerequisites: Two years of secondary school algebra or MATH 009 or MATH 010.
Credits: 3.
MATH 018 - Basic Mathematics
Data, statistics, modeling, algebra, word problems, calculus. Students who do well in the algebra section may continue with MATH 019 or MATH 021. Prerequisite: three years of high school math. No credit for CEMS students.
Credits: 3.
MATH 019 - Fundamentals of Calculus I
Introduction to limits and differential calculus with a wide variety of applications. Students interested in intensive use of mathematics should take MATH 021. Credit not given for more than one of the courses MATH 019, unless followed by MATH 022. See MATH 023. Prerequisite: MATH 009 or MATH 010, or sufficiently strong background in secondary school algebra and geometry. MATH 021
Credits: 3.
MATH 020 - Fundamentals of Calculus II
Introduction to integral calculus with a wide variety of applications. A student who completes MATH 020 may be admitted to MATH 022; however, MATH 019, MATH 021, MATH 022 or MATH 019, MATH 019, MATH 023 is preferable to MATH 020, MATH 022. Prerequisite: MATH 019.
Credits: 3.
MATH 021 - Calculus I
Introduction to calculus of functions of one variable including: limits, continuity, techniques and applications of differentiation and integration. Prerequisites: MATH 010, or strong background in secondary school algebra and trigonometry. Credit not given for more than one course in the pair MATH 019, MATH 021 unless followed by MATH 022.
Credits: 4.
MATH 022 - Calculus II
Techniques and applications of integration. Polar coordinates, Taylor polynomials, sequences and series, power series. Prerequisite: MATH 021. Credit will not be given for both MATH 022 and MATH 023.
Credits: 4.
MATH 023 - Transitional Calculus
Intended to make the transition from a B to MATH 121. Topics are similar to MATH 022 backgrounds of students in MATH 019 versus MATH 021. Prerequisite: B or better in MATH 019. or better in MATH 019 but recognizing different Credit will not be given for both MATH 022 and MATH 023.
Credits: 5.
MATH 052 - Fundamentals of Mathematics
Emphasizing proofs, fundamental mathematical concepts and techniques are investigated within the context of number theory and other topics. Co-requisite: MATH 021. Credit not given for both MATH 052 and MATH 054.
Credits: 3.
MATH 054 - Fund of Math of Computation
Introduction to mathematical theory and techniques underlying computer science. Co-requisite: MATH 019 or MATH 021.
Credits: 3.
MATH 095 - Special Topics
Introductory courses or seminars on topics beyond the scope of existing departmental offerings. See Schedule of Courses for specific titles. Prerequisite: Instructor permission.
Credits: 1-12.
MATH 121 - Calculus III
Vectors, vector-valued functions. Calculus of functions of several variables: partial derivatives, gradient, divergence, curl, multiple integrals, line integrals, Stokes' and Green's theorems. Prerequisite: MATH 022.
Credits: 4.
MATH 124 - Linear Algebra
Matrices, linear dependence, vector spaces, linear transformations, characteristic equations and applications. Co-requisite: MATH 121 recommended but not required. Prerequisite: MATH 022 or Instructor permission. .
Credits: 3.
MATH 141 - Real Analysis in One Variable
Principles of analysis in one variable. Heine-Borel and Bolzano-Weierstrass theorems; rigorous development of differential and integral calculus; infinite sequences and series of functions. May not be taken concurrently with or after MATH 241. Pre/co-requisite: MATH 052.
Credits: 3.
MATH 151 - Groups and Rings
An introduction to the basic concepts of abstract algebra emphasizing examples, including modular arithmetic, symmetric groups, cyclic groups, polynomial rings, homomorphisms, and isomorphisms. May not be taken concurrently with or after MATH 251. Prerequisite: MATH 052.
Credits: 3.
MATH 161 - Development of Mathematics
Historical development of mathematical sciences emphasizing interrelations among them. Individual assignments correspond to background and interests of students. Prerequisite: Nine hours of college mathematics.
Credits: 3.
MATH 167 - Physical Chemistry Preparation
Review of relevant mathematical and physical concepts as applied to physical chemistry. Credit cannot be obtained for both MATH 167 and MATH 121. Not available for credit for E&M students. Prerequisite: MATH 022; CHEM 032 or CHEM 036. Cross-listed with: CHEM 167.
Credits: 1.
MATH 168 - Mathematics of Biology
Discrete biological processes: nonlinear difference equations. Continuous processes: ordinary differential equations, phase plane methods, quantitative solutions. Applications: population dynamics, epidemiology, Michaelis-Menten kinetics, autocatalysis, muscle contraction. Includes a lab. May not be taken concurrently with or after MATH 268. Pre/co-requisites: MATH 022 or MATH 023, MATH 124. Cross-listed with: BIOL 168.
Credits: 3.
MATH 173 - Basic Combinatorial Theory
Introduction to basic combinatorial principles emphasizing problem-solving techniques. Enumeration, generating functions, Fibonacci numbers, pigeonhole principle, inclusion-exclusion, and graph theory. Prerequisites: MATH 052 or MATH 054 or CS 064.
Credits: 3.
MATH 191 - Special Topics
An approved project under guidance of a staff member and culminating in a written report. Involvement with off-campus groups permitted. Prerequisite: Junior/ Senior standing; approval of Department Chair.
Credits: 1-3.
MATH 192 - Special Topics
An approved project under guidance of a staff member and culminating in a written report. Involvement with off-campus groups permitted. Prerequisite: Junior/ Senior standing; approval of Department Chair.
Credits: 1-3.
MATH 193 - College Honors
Credits: 1-3.
MATH 194 - College Honors
Credits: 1-3.
MATH 195 - Special Topics
See Schedule of Courses for specific titles.
Credits: 1-12.
MATH 207 - Probability Theory
Distributions of random variables and functions of random variables. Expectations, stochastic independence, sampling and limiting distributions (central limit theorems). Concepts of random number generation. Prerequisites: MATH 121; STAT 151 or STAT 153 recommended. Cross-listed with: STAT 251, BIOS 251.
Credits: 3.
MATH 221 - Deterministic Modls Oper Rsch
The linear programming problem. Simplex algorithm, dual problem, sensitivity analysis, goal programming. Dynamic programming and network problems. Prerequisites: MATH 124; MATH 121 desirable. Cross-listed with: CSYS 221.
Credits: 3.
MATH 222 - Stochastic Models in Oper Rsch
Development and solution of some typical stochastic models. Markov chains, queueing problems, inventory models, and dynamic programming under uncertainty. Prerequisite: MATH 207, STAT 151, or Instructor permission.
Credits: 3.
MATH 224 - Algorithm Design & Analysis
Comprehensive analysis of common algorithmic paradigms including greedy algorithms, divide and conquer, dynamic programming, graph algorithms, and approximation algorithms. Complexity hierarchies. Prerequisites: CS 124, MATH 173 recommended. Cross-listed with: CS 224.
Credits: 3.
MATH 230 - Ordinary Differential Equation
Solutions of linear ordinary differential equations, the Laplace transformation, and series solutions of differential equations. Prerequisite: MATH 121. Corequisite: MATH 124 or Instructor permission. Credit not granted for more than one of the courses MATH 230 or MATH 271.
Credits: 3.
MATH 235 - Mathematical Models & Analysis
Techniques of Undergraduate calculus and linear algebra are applied for mathematical analysis of models of natural and human-created phenomena. Students are coached to give presentations. Prerequisites: MATH 121 and any of MATH 124, MATH 230, or MATH 271.
Credits: 3.
MATH 236 - Calculus of Variations
Necessary conditions of Euler, Legendre, Weierstrass, and Jacobi for minimizing integrals. Sufficiency proofs. Variation and eigenvalue problems. Hamilton-Jacobi equations. Prerequisite: MATH 230.
Credits: 3.
MATH 237 - Intro to Numerical Analysis
Error analysis, root-finding, interpolation, least squares, quadrature, linear equations, numerical solution of ordinary differential equations. Prerequisite: MATH 121, MATH 124 or MATH 271; Knowledge of computer programming.
Credits: 3.
MATH 238 - Applied Computational Methods
Direct and iterative methods for solving linear systems; numerical solution of ordinary and partial differential equations. Focus will be on application of numerical methods. Prerequisites: MATH 121; either MATH 124 or MATH 271.
Credits: 3.
MATH 240 - Fourier Series&Integral Trans
Fourier series, orthogonal functions, integral transforms and boundary value problems. Prerequisite: MATH 230 or MATH 271.
Credits: 3.
MATH 241 - Anyl in Several Real Vars I
MATH 124 or Instructor permission. Properties of the real numbers, basic topology of metric spaces, infinite sequences and series, continuity. Prerequisites: MATH 052, MATH 121,
Credits: 3.
MATH 242 - Anyl Several Real Variables II
Differentiation and integration in n-space, uniform convergence of functions, fundamental theorem of calculus, inverse and implicit function theorems. Prerequisite: MATH 241.
Credits: 3.
MATH 243 - Theory of Computation
Introduction to theoretical foundations of computer science. Models of computation. Church's thesis and noncomputable problems. Formal languages and automata. Syntax and semantics. Prerequisite: CS 104 or CS 124. Cross-listed with: CS 243.
Credits: 3.
MATH 251 - Abstract Algebra I
Basic theory of groups, rings, fields, homomorphisms, and isomorphisms. Prerequisite: MATH 052, MATH 124, or Instructor permission.
Credits: 3.
MATH 252 - Abstract Algebra II
Modules, vector spaces, linear transformations, rational and Jordan canonical forms. Finite fields, field extensions, and Galois theory leading to the insolvability of quintic equations. Prerequisite: MATH 251.
Credits: 3.
MATH 255 - Elementary Number Theory
Divisibility, prime numbers, Diophantine equations, congruence of numbers, and methods of solving congruences. Prerequisite: MATH 052 or MATH 054.
Credits: 3.
MATH 257 - Topics in Group Theory
Topics may include abstract group theory, representation theory, classical groups, Lie groups. Prerequisite: MATH 251.
Credits: 3.
MATH 260 - Foundations of Geometry
Geometry as an axiomatic science; various non-Euclidean geometries; relationships existing between Euclidean plane geometry and other geometries; invariant properties. Prerequisite: MATH 052 or MATH 054.
Credits: 3.
MATH 264 - Vector Analysis
Gradient, curl and divergence, Green, Gauss, and Stokes Theorems, applications to physics, tensor analysis. Prerequisite: MATH 121, MATH 124, or MATH 271.
Credits: 3.
MATH 266 - Chaos,Fractals&Dynamical Syst
Discrete and continuous dynamical systems, Julia sets, the Mandelbrot set, period doubling, renormalization, Henon map, phase plane analysis and Lorenz equations. Co-requisite: MATH 271 or MATH 230 or Instructor permission. Cross-listed with: CSYS 266.
Credits: 3.
MATH 268 - Mathematical Biology&Ecology
Mathematical modeling in the life sciences. Topics include population modeling, dynamics of infectious diseases, reaction kinetics, wave phenomena in biology, and biological pattern formation. Prerequisite: MATH 124, MATH 230, or Instructor permission. Cross-listed with: CSYS 268.
Credits: 3.
MATH 271 - Adv Engineering Mathematics
Differential equations and linear algebra, including linear ordinary differential equations, Laplace transforms, matrix theory, and systems of differential equations. Examples from engineering and physical sciences. Prerequisite: MATH 121. Credit not granted for both MATH 230 and MATH 271. No credit for Mathematics majors.
Credits: 3.
MATH 272 - Applied Analysis
Basics of Fourier series, partial differential equations of mathematical physics, functions of a complex variable, Cauchy's theorem, integral formula. Prerequisites: MATH 230 or MATH 271.
Credits: 3.
MATH 273 - Combinatorial Graph Theory
Paths and trees, connectivity, Eulerian and Hamiltonian cycles, matchings, edge and vertex colorings, planar graphs, Euler's formula and the Four Color Theorem, networks. Prerequisite: MATH 052 or MATH 054, or Instructor permission.
Credits: 3.
MATH 274 - Numerical Linear Algebra
Direct and iterative methods for solving linear equations, least square factorization methods, eigenvalue computations, ill-conditioning and stability. Prerequisite: MATH 237.
Credits: 3.
MATH 275 - Adv Engineering Analysis I
Analytical methods for the solution of partial differential equations in engineering mechanics and physics, including: eigenfunction expansions; Fourier series; Sturm-Liouville theory and special functions. Prerequisites: Graduate standing in Engineering, Mathematics, or physical sciences or permission. Not available for 300-level credit for Mathematics students. Cross-listed with: CE 304 and ME 304.
Credits: 3.
MATH 276 - Adv Engineering Analysis II
Advanced analytical techniques for problems in engineering mechanics and physics, including: integral transform methods, Green's functions, perturbation methods, and variational calculus. Prerequisites: ME 304 or equivalent. Not available for 300-level credit for Mathematics students. Cross-listed with: CE 305, ME 305.
Credits: 3.
MATH 278 - Intro Wavelets & Filter Banks
Continuous and discrete-time signal processing. Continuous wavelet transform. Series expansion of continuous and discrete-time signals. Perfect reconstruction, orthogonal and biorthogonal filter banks. Wavelets from filter. Pre/co-requisites: EE 171, or Instructor permission. Cross-listed with: EE 274.
Credits: 3.
MATH 283 - Junior-Senior Seminar
Students required to give presentations on selected topics. Prerequisite: Instructor permission.
Credits: 1.
MATH 293 - Undergraduate Honors Thesis
Program of reading and research culminating in written thesis and oral presentation. Honors notation appears on transcript and Commencement Program. Contact department chairperson for procedures.
Credits: 3-4.
MATH 294 - Undergraduate Honors Thesis
Program of reading and research culminating in written thesis and oral presentation. Honors notation appears on transcript and Commencement Program. Contact department chairperson for procedures.
Credits: 3-4.
MATH 295 - Special Topics
For advanced students in the indicated fields. Lectures, reports, and directed readings on advanced topics. Prerequisite: Instructor permission. Credit as arranged. Offered as occasion warrants.
Credits: 1-18.
MATH 300 - Principles of Complex Systems
Introduction to fundamental concepts of complex systems. Topics include: emergence, scaling phenomena, and mechanisms, multi-scale systems, failure, robustness, collective social phenomena, complex networks. Students from all disciplines welcomed. Pre/co-requisites: Calculus and statistics required; Linear Algebra, Differential Equations, and Computer programming recommended but not required. Cross-listed with: CSYS 300.
Credits: 3.
MATH 303 - Complex Networks
Detailed exploration of distribution, transportation, small-world, scale-free, social, biological, organizational networks; generative mechanisms; measurement and statistics of network properties; network dynamics; contagion processes. Students from all disciplines welcomed. Pre/co-requisites: MATH 301/CSYS 301, Calculus, and Statistics required. Cross-listed with: CSYS 303.
Credits: 3.
MATH 330 - Adv Ordinary Diff Equations
Linear and nonlinear systems, approximate solutions, existence, uniqueness, dependence on initial conditions, stability, asymptotic behavior, singularities, self-adjoint problems. Prerequisite: MATH 230.
Credits: 3.
MATH 331 - Theory of Func of Complex Var
Differentiation, integration, Cauchy-Riemann equations, infinite series, properties of analytic continuation, Laurent series, calculus of residues, contour integration, meromorphic functions, conformal mappings, Riemann surfaces. Prerequisite: MATH 242.
Credits: 4.
MATH 332 - Approximation Theory
Interpolation and approximation by interpolation, uniform approximation in normed linear spaces, spline functions, orthogonal polynomials. Least square, and Chebychev approximations, rational functions. Prerequisite: MATH 124, MATH 237.
Credits: 3.
MATH 333 - Thry Functions Real Variables
The theory of Lebesgue integration, Lebesgue measure, sequences of functions, absolute continuity, properties of LP-spaces. Prerequisite: MATH 242.
Credits: 4.
MATH 335 - Advanced Real Analysis
L2-spaces, LP-spaces; Hilbert, Banach spaces; linear functionals, linear operators; completely continuous operators (including symmetric); Fredholm alternative; Hilbert-Schmidt theory; unitary operators; Bochner's Theorem; Fourier-Plancherel, Watson transforms. Prerequisites: MATH 333.
Credits: 3.
MATH 336 - Advanced Real Analysis
L2-spaces, LP-spaces; Hilbert, Banach spaces; linear functionals, linear operators; completely continuous operators (including symmetric); Fredholm alternative; Hilbert-Schmidt theory; unitary operators; Bochner's Theorem; Fourier-Plancherel, Watson transforms. Prerequisite: MATH 333 and MATH 335.
Credits: 3.
MATH 337 - Numerical Diff Equations
Numerical solution and analysis of differential equations: initial-value and boundary-value problems; finite difference and finite element methods. Prerequisites: MATH 237; either MATH 230 or MATH 271 recommended.
Credits: 3.
MATH 339 - Partial Differential Equations
Classification of equations, linear equations, first order equations, second order elliptic, parabolic, and hyperbolic equations, uniqueness and existence of solutions. Prerequisite: MATH 230; MATH 242.
Credits: 3.
MATH 351 - Topics in Algebra
Topics will vary each semester and may include algebraic number theory, algebraic geometry, and the arithmetic of elliptic curves. Repeatable for Prerequisite: MATH 252. credit with Instructor permission.
Credits: 3.
MATH 353 - Point-Set Topology
Topological spaces, closed and open sets, closure operators, separation axioms, continuity, connectedness, compactness, metrization, uniform spaces. Prerequisite: MATH 241.
Credits: 3.
MATH 354 - Algebraic Topology
Homotopy, Seifert-van Kampen Theorem; simplicial, singular, and Cech homology. Prerequisite: MATH 353.
Credits: 3.
MATH 373 - Topics in Combinatorics
Topics will vary each semester and may include combinatorial designs, coding theory, topological graph theory, cryptography. Prerequisite: MATH 251 or MATH 273; or Instructor permission.
Credits: 3.
MATH 382 - Seminar
Topical discussions with assigned reading. Required of M.S. degree candidates.
Credits: 1.
MATH 391 - Master's Thesis Research
Credits: 1-18.
MATH 395 - Special Topics
Subject will vary from year to year. May be repeated for credit.
Credits: 1-6.
MATH 491 - Doctoral Dissertation Research
Credits: 1-18.

Courses in Statistics

STAT 051 - Probability With Statistics
Introduction to probabilistic and statistical reasoning, including probability distribution models and applications to current scientific/social issues. Roles of probability, study design, and exploratory/confirmatory data analysis. Prerequisite: Two years H.S. algebra. No credit for Sophomores, Juniors, or Seniors in the mathematical and engineering sciences.
Credits: 3.
STAT 095 - Special Topics
Lectures, reports, and directed readings at an introductory level. Prerequisite: As listed in course schedule.
Credits: 1-12.
STAT 111 - Elements of Statistics
Basic statistical concepts, methods, and applications, including correlation, regression, confidence intervals, and hypothesis tests. Prerequisite: Two years of high school algebra; Sophomore standing.
Credits: 3.
STAT 140 - Natural Resource Biostatistics
Cross-listed with: NR 140.
Credits: 4.
STAT 141 - Basic Statistical Methods
Foundational course for students taking further quantitative courses. Exploratory data analysis, probability distributions, estimation, hypothesis testing. Introductory regression, experimentation, contingency tables, and nonparametrics. Computer software used. Prerequisites: MATH 019 or MATH 021; Sophomore standing.
Credits: 3.
STAT 143 - Statistics for Engineering
Data analysis, probability models, parameter estimation, hypothesis testing. Multi- factor experimental design and regression analysis. Quality control, SPC, reliability. Engineering cases and project. Statistical analysis software. Prerequisites: MATH 020 or MATH 022; Sophomore standing.
Credits: 3.
STAT 151 - Applied Probability
Foundations of probability, conditioning, and independence. Business, computing, biological, engineering reliability, and quality control applications. Classical discrete and continuous models. Pseudo-random number generation. Prerequisites: MATH 020 or MATH 022.
Credits: 3.
STAT 153 - Prob & Stat for Cmptr Sci
Foundations of probability, conditioning, independence, expectation and variance. Discrete and continuous probability distributions. Computer simulation examples. Introductory descriptive and inferential statistics. Simple regression analysis. Pre/co-requisite: MATH 020 or MATH 022.
Credits: 3.
STAT 183 - Statistics for Business
Advanced quantitative methodologies for contemporary business scenarios. Analysis of variance, multiple regression, time series analysis, non-parametric methods, Bayesian statistics and decision analysis. Prerequisites: STAT 141 or EC 170.
Credits: 3.
STAT 191 - Special Projects
Student-designed special project under supervision of a staff member culminating in a report. Prerequisite: Junior standing; permission of Program Director.
Credits: 1-4.
STAT 195 - Intermediate Special Topics
Lectures, reports, and directed readings. Prerequisite: As listed in course schedule.
Credits: 1-18.
STAT 200 - Med Biostatistics&Epidemiology
Introductory design and analysis of medical studies. Epidemiological concepts, case-control and cohort studies. Clinical trials. Students evaluate statistical aspects of published health science studies. Prerequisites: STAT 111, Cross-listed with: BIOS 200. STAT 141 or STAT 143; or STAT 211.
Credits: 3.
STAT 201 - Stat Analysis Via Computers
Intensive coverage of computer-based data processing and analysis using statistical packages, subroutine libraries, and user-supplied programs. Students analyze real data and prepare a comprehensive report. Prerequisites: STAT 111 with Instructor permission, or STAT 141. Co-requisite: STAT 211.
Credits: 3.
STAT 211 - Statistical Methods I
Fundamental concepts for data analysis and experimental design. Descriptive and inferential statistics, including classical and nonparametric methods, regression, correlation, and analysis of variance. Statistical software. Prerequisite: Junior standing. Cross-listed with: BIOS 211.
Credits: 3.
STAT 221 - Statistical Methods II
Cross-listed with: BIOS 221. Multiple regression and correlation. Basic experimental design. Analysis of variance (fixed, random, and mixed models). Analysis of covariance. Computer software usage. Prerequisites: STAT 141 or STAT 143, or STAT 211.
Credits: 3.
STAT 223 - Applied Multivariate Analysis
Multivariate normal distribution. Inference for mean vectors and covariance matrices. Multivariate analysis of variance (MANOVA), discrimination and classification, principal components, factor analysis. Prerequisites: Any 200-level Statistics course; STAT 221 or STAT 225 recommended; matrix algebra recommended. Cross-listed with: BIOS 223.
Credits: 3.
STAT 224 - Stats for Quality&Productivity
Statistical process control; Shewhart, cusum and other control charts; process capability studies. Total Quality Management. Acceptance, continuous, sequential sampling. Process design and improvement. Case studies. Prerequisites: STAT 141 or STAT 143, or STAT 211.
Credits: 3.
STAT 225 - Applied Regression Analysis
Simple linear and multiple regression models; least squares estimates, correlation, prediction, forecasting. Problems of multicollinearity and influential data (outliers).
Credits: 3.
STAT 227 - Adv Statistical Methods II
Cross-listed with: PSYC 341. Continuation of PSYC 340. In-depth study of the analysis of variance and multiple with computer experience or PSYC 340. regression. Further study of analysis and interpretation of data from the behavioral sciences. Prerequisites: STAT 211
Credits: 3.
STAT 229 - Survival Analysis
Probabilistic models and inference for time-to-event data. Censored data, life tables, Kaplan-Meier estimation, logrank tests, proportional hazards regression. Specialized applications (e.g. clinical trials, reliability). Prerequisites: Any 200-level Statistics course; one year of calculus. Cross-listed with: BIOS 229.
Credits: 3.
STAT 231 - Experimental Design
Randomization, complete and incomplete blocks, cross-overs, Latin squares, covariance analysis, factorial experiments, confounding, fractional factorials, nesting, split plots, repeated measures, mixed models, response surface optimization. Prerequisites: STAT 211, STAT 221 recommended.
Credits: 3.
STAT 233 - Survey Sampling
Design and data analysis for sample surveys. Simple random, stratified, systematic, cluster, multistage sampling. Practical issues in planning and conducting surveys. Prerequisites: STAT 211; or STAT 141 or STAT 143 with Instructor permission.
Credits: 3.
STAT 235 - Categorical Data Analysis
Measures of association and inference for categorical and ordinal data in multiway contingency tables. Log linear and logistic regression models. Prerequisite: STAT 211. Cross-listed with: BIOS 235.
Credits: 3.
STAT 237 - Nonparametric Statistical Mthd
Nonparametric and distribution free methods; categorical, ordinal, and quantitative data; confidence intervals; rank and chi-square hypothesis tests; computer-intensive procedures (bootstrap, exact tests). Prerequisite: STAT 211; or STAT 141 or STAT 143 with Instructor permission.
Credits: 3.
STAT 241 - Statistical Inference
Introduction to statistical theory: related probability fundamentals, derivation of statistical principles, and methodology for parameter estimation and hypothesis testing. Prerequisites: STAT 151 or STAT 153 or STAT 251, STAT 141 or equivalent, MATH 121. Cross-listed with: BIOS 241.
Credits: 3.
STAT 251 - Probability Theory
Distributions of random variables and functions of random variables. Expectations, stochastic independence, sampling and limiting distributions (central limit theorems). Concepts of random number generation. Prerequisites: MATH 121; STAT 151 or STAT 153 recommended. Cross-listed with: MATH 207, BIOS 251.
Credits: 3.
STAT 252 - Appl Discr Stochas Proc Models
Markov chain models for biological, social, and behavioral systems models. Random walks, transition and steady-state probabilities, passage and recurrence times. Prerequisite: STAT 151, STAT 153, or STAT 251.
Credits: 1.
STAT 253 - Appl Time Series & Forecasting
Autoregressive moving average (Box-Jenkins) models, autocorrelation, partial correlation, differencing for nonstationarity, computer modeling. Forecasting, seasonal or cyclic variation, transfer function and intervention analysis, spectral analysis. Prerequisites: STAT 211 or STAT 225; or STAT 141 or STAT 143 with Instructor permission. Cross-listed with: CSYS 253.
Credits: 3.
STAT 256 - Neural Computation
Introduction to artificial neural networks, their computational capabilities and limitations, and the algorithms used to train them. Statistical capacity, convergence theorems, backpropagation, reinforcement learning, generalization. Prerequisites: MATH 124 or MATH 271, STAT 153 or equivalent, and computer programming. Cross-listed with: CS 256, CSYS 256.
Credits: 3.
STAT 261 - Statistical Theory
Point and interval estimation, hypothesis testing, and decision theory. Application of general statistical principles to areas such as nonparametric tests, sequential analysis, and linear models. Prerequisites: STAT 251 or either STAT 151 or STAT 153 with Instructor permission. Cross-listed with: BIOS 261.
Credits: 3.
STAT 265 - Integrated Product Development
Project-based course focusing on the entire product life cycle. Team dynamics, process and product design, quality, materials, management, and environmentally-conscious manufacturing. Prerequisite: Senior standing. Cross-listed with: BSAD 293.
Credits: 3.
STAT 281 - Statistics Practicum
Intensive experience in carrying out a complete statistical analysis for a research project in substantive area with close consultation with a project investigator. Prerequisites: Any one of STAT 200, STAT 201, 253; Some statistical software experience preferred. No credit for Graduate students in Statistics or STAT 221 through STAT 237, or STAT Biostatistics.
Credits: 1-4.
STAT 293 - Undergrad Honors Thesis
A program of reading, research, design, and analysis culminating in a written thesis and oral defense. Honors notation appears on transcript and Commencement Program. Contact Statistics Program Director for procedures.
Credits: 1-18.
STAT 294 - Undergrad Honors Thesis
A program of reading, research, design, and analysis culminating in a written thesis and oral defense. Honors notation appears on transcript and Commencement Program. Contact Statistics Program Director for procedures.
Credits: 1-8.
STAT 295 - Advanced Special Topics
For advanced students. Lectures, reports, and directed readings on advanced topics. Prerequisite: As listed in course schedule.
Credits: 1-6.
STAT 308 - Applied Biostatistics
The rationale and application of biostatistical methods in the biological, health and life sciences with emphasis on interpreting and reporting results. sciences. Prerequisite: STAT 141 or equivalent. Cross-listed with: MPBP 308, BIOS 308.
Credits: 3.
STAT 313 - Stat Analysis for Management
See BSAD 313.
Credits: 3.
STAT 321 - Seminar in Advanced Statistics
Seminar presentations and discussions of statistical literature pertaining to the theoretical aspects of methods studied in STAT 221, STAT 223, STAT 224, Corequisites: STAT 221 for STAT 321; STAT 223 for STAT 323; STAT 221 for STAT 325, STAT 229 for STAT 329. STAT 225, and STAT 229, respectively. STAT 224 for STAT 324; STAT 225 or STAT 241 or STAT 261 recommended.
Credits: 1.
STAT 323 - Seminar in Advanced Statistics
Seminar presentations and discussions of statistical literature pertaining to the theoretical aspects of methods studied in STAT 221, STAT 223, STAT 224, STAT 225, Co-requisites: STAT 221 for STAT 321; STAT 223 for STAT 323; STAT 221 for STAT 325, STAT 229 for STAT 329. and STAT 229, respectively. STAT 224 for STAT 324; STAT 225 or STAT 241 or STAT 261 recommended.
Credits: 1.
STAT 324 - Seminar in Advanced Statistics
Seminar presentations and discussions of statistical literature pertaining to the theoretical aspects of methods studied in STAT 221, STAT 223, STAT 224, STAT 225, Co-requisites: STAT 221 for STAT 321; STAT 223 for STAT 323; STAT 221 for STAT 325, STAT 229 for STAT 329. and STAT 229, respectively STAT 224 for STAT 324; STAT 225 or STAT 241 or STAT 261 recommended.
Credits: 1.
STAT 325 - Seminar in Advanced Statistics
Seminar presentations and discussions of statistical literature pertaining to the theoretical aspects of methods studied in STAT 221, STAT 223, STAT 224, STAT 225, Co-requisites: STAT 221 for STAT 321; STAT 223 for STAT 323; STAT 221 for STAT 325, STAT 229 for STAT 329. and STAT 229, respectively. STAT 224 for STAT 324; STAT 225 or STAT 241 or STAT 261 recommended.
Credits: 1.
STAT 329 - Seminar in Advanced Statistics
Seminar presentations and discussions of statistical literature pertaining to the theoretical aspects of methods studied in STAT 221, STAT 223, STAT 224, STAT 225, Co-requisite: STAT 221 for STAT 321; STAT 223 for STAT 323; STAT 221 for STAT 325, STAT 229 for STAT 329. and STAT 229, respectively. STAT 224 for STAT 324; STAT 225 or STAT 241 or STAT 261 recommended.
Credits: 1.
STAT 330 - Bayesian Statistics
Introduction to Bayesian inference. Posterior inference, predictive distributions, prior distribution selection. MCMC algorithms. Hierarchical models. Model checking and selection. Use of computer software. Pre/co-requisites: STAT 241 or STAT 251 or Instructor permission.
Credits: 3.
STAT 350 - Advanced Methods in Biostat
Essential topics in modern biostatistics including epidemiology studies, clinical trials, statsitical genetics, issues involved in secondary data analysis of complex surveys. Prerequisite: STAT 261 & STAT 200 or Instructor permission. Cross-listed with: BIOS 350.
Credits: 3.
STAT 355 - Statisticl Pattern Recognition
Analysis of algorithms used for feature selection, density estimation, and pattern classification, including Bayes classifiers, maximum likelihood, nearest neighbors, kernels, discriminants, neural networks and clustering. Prerequsites: STAT 241 or STAT 251, or Instructor permission. Cross-listed with: CS 355, CSYS 355.
Credits: 3.
STAT 360 - Linear Models
Theory of linear models, least squares and maximum likelihood estimation, fixed, random and mixed models, variance component estimation, introduction to generalized linear models, bootstrapping. Prerequisites: STAT 261 and knowledge of matrix algebra or Instructor permission.
Credits: 3.
STAT 369 - Applied Geostatistics
Introduction to the theory of regionalized variables, geostatistics (kriging techniques): special topics in multivariate analysis; Applications to real data subject to spatial variation are emphasized. Pre/co-requisites: STAT 223 or STAT 225; CS 016/CE 011 or permission. Cross-listed with: CSYS 369.
Credits: 3.
STAT 380 - Sem:Statistics & Biostatistics
Presentation and discussion of current topics, methodological research and applications in Statistics and Biostatistics by graduate students, faculty and guest speakers. Prerequisite: Instructor Permission.
Credits: .5-1.
STAT 381 - Statistical Research
Methodologic or data analytic research culminating in oral and written reports to the faculty. Prerequisite: Instructor Permission. Cross-listed with: BIOS 381.
Credits: 1-3.
STAT 385 - Consulting Practicum
Statistics Program Director. Supervised field work in statistical consulting. Experiences may include advising UVM faculty and students or clients in applied settings such as industry and government agencies. Prerequisites: Second year Graduate standing in Statistics or Biostatistics and permission of
Credits: 1-3.
STAT 391 - Master's Thesis Research
Credits: 1-6.
STAT 395 - Advanced Special Topics
Lectures or directed readings on advanced and contemporary topics not presently included in other statistics courses. Prerequisites: As listed in course schedule. Cross-listed with: BIOS 395.
Credits: 1-3.

[Location]

Contact UVM © 2014 The University of Vermont - Burlington, VT 05405 - (802) 656-3131