Timeroom: Fall 2021

Displaying 131 - 140 of 161 Results for: Subject = MATH
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 823 (01) - Statistics and Probability for Teachers

Prob and Stat for Teachers

Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   7  
CRN: 16130
An introduction to probability, descriptive statistics and data analysis; exploration of randomness, data representation and modeling. Descriptive statistics will include measures of central tendency, dispersion, distributions and regression. Analysis of experiments requiring hypothesizing, experimental design and data gathering. Credit offered only to M.Ed., M.A..T., Elementary Math Specialist certificate only students, and in-service teachers. Not offered for credit if credit received for MATH 623.
Prerequisite(s): (MATH 621 or MATH 821 with minimum grade of B- )
Equivalent(s): MATH 623
Instructors: STAFF
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MW 2:10pm - 4:00pm KING N121
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 831 (01) - Mathematics for Geodesy

Mathematics for Geodesy

Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   15  
CRN: 12242
A survey of topics from undergraduate mathematics designed for graduate students in engineering and science interested in applications to geodesy and Earth Sciences. Topics include essential elements from analytic geometry, geometry of surfaces, linear algebra and statistics, Fourier analysis, discrete Fourier transforms and software, filtering applications to tidal data.
Prerequisite(s): (MATH 645 or MATH 645H or MATH 762 or MATH 862 with minimum grade of B- )
Majors not allowed in section: MATH APP, MATH:APPLIED, MATH:STATISTICS, MATHEMATICS, MATHEMATICS, MATHEMATICS, MATHEMATICS ED
Instructors: Stephen Wineberg
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MWF 12:10pm - 1:00pm KING N310
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 835 (01) - Statistical Methods for Research

Statistical Mthds for Research

Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   18  
CRN: 10760
This course provides a solid grounding in modern applications of statistics to a wide range of disciplines by providing an overview of the fundamental concepts of statistical inference and analysis, including t-tests and confidence intervals. Additional topics include: ANOVA, multiple linear regression, analysis of cross classified categorical data, logistic regression, nonparametric statistics and data mining using CART. The use of statistical software, such as JMP. S PLUS, or R, is fully integrated into the course.
Instructors: JC Poythress
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MW 11:10am - 12:30pm KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 835 (1SY) - Statistical Methods for Research

Statistical Mthds for Research

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   17  
CRN: 15227
This course provides a solid grounding in modern applications of statistics to a wide range of disciplines by providing an overview of the fundamental concepts of statistical inference and analysis, including t-tests and confidence intervals. Additional topics include: ANOVA, multiple linear regression, analysis of cross classified categorical data, logistic regression, nonparametric statistics and data mining using CART. The use of statistical software, such as JMP. S PLUS, or R, is fully integrated into the course.
Instructors: JC Poythress
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MW 11:10am - 12:30pm ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 837 (1ON) - Statistical Methods for Quality Improvement and Design

Stat Methods for QI & Design

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   15  
CRN: 12744
Six Sigma is a popular, data-focused methodology used worldwide by organizations to achieve continuous improvement of their existing processes, products and services or to design new ones. This course provides a thorough introduction to the Six Sigma principles, methods, and applications for continuous improvement (DMAIC process) and an overview of Design for Six Sigma (DFSS). Both manufacturing and non-manufacturing (transactional Six Sigma) applications will be included. Emphasis is placed on the use of case studies to motivate the use of, as well as the proper application of, the Six Sigma methodology. Formal Six Sigma Green Belt certification from UNH may be attained by successfully completing TECH 696. Students must have completed a calculus-based introductory statistics course.
Instructors: Philip Ramsey
Start Date End Date Days Time Location
8/30/2021 12/13/2021 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 839 (01) - Applied Regression Analysis

Applied Regression Analysis

Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   9  
CRN: 10266
Statistical methods for the analysis of relationships between response and input variables: simple linear regression, multiple regression analysis, residual analysis model selection, multi-collinearity, nonlinear curve fitting, categorical predictors, introduction to analysis of variance, analysis of covariance, examination of validity of underlying assumptions, logistic regression analysis. Emphasizes real applications with use of statistical software. Students must have completed an introductory statistics course.
Instructors: Michelle Capozzoli
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MWF 8:10am - 9:30am KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 839 (1SY) - Applied Regression Analysis

Applied Regression Analysis

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   10  
CRN: 15228
Statistical methods for the analysis of relationships between response and input variables: simple linear regression, multiple regression analysis, residual analysis model selection, multi-collinearity, nonlinear curve fitting, categorical predictors, introduction to analysis of variance, analysis of covariance, examination of validity of underlying assumptions, logistic regression analysis. Emphasizes real applications with use of statistical software. Students must have completed an introductory statistics course.
Instructors: Michelle Capozzoli
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MWF 8:10am - 9:30am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 840 (1ON) - Design of Experiments I

Design of Experiments I

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   25  
CRN: 11739
First course in design of experiments with applications to quality improvement in industrial manufacturing, engineering research and development, or research in physical and biological sciences. Experimental factor identification, statistical analysis and modeling of experimental results, randomization and blocking, full factorial designs, random and mixed effects models, replication and sub-sampling strategies, fractional factorial designs, response surface methods, mixture designs, and screening designs. Focuses on various treatment structures for designed experimentation and the associated statistical analyses. Use of statistical software. Students must have completed an introductory statistics course.
Instructors: Philip Ramsey
Start Date End Date Days Time Location
8/30/2021 12/13/2021 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 845 (01) - Foundations of Applied Mathematics I

Foundations of Applied Math

Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   10  
CRN: 10945
An introduction to Partial Differential Equations (PDEs) and associated mathematical methods and the analytical foundation for applied mathematics. Topics include: PDE classification, superposition, separation of variables, orthonormal functions, completeness, convergence, Fourier Series, Sturm-Liouville eigenvalue problems, and eigenfunctions. Methods are introduced for the analysis and solution of boundary value problems, in particular, the Heat, Wave, and Laplace equations. Students are required to have a mastery of differential equations and ordinary differential equations.
Instructors: Marianna Shubov
Start Date End Date Days Time Location
8/30/2021 12/13/2021 TR 12:40pm - 2:00pm KING N343
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 853 (01) - Introduction to Numerical Methods

Introduction Numerical Methods

Credits: 3.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   10  
CRN: 14167
Introduction to mathematical algorithms and methods of approximation. A wide survey of approximation methods are examined including, but not limited to, polynomial interpolation, root finding, numerical integration, approximation of differential equations, and techniques used in conjunction with linear systems. Included in each case is a study of the accuracy and stability of a given technique, as well as its efficiency and complexity. It is assumed that the student is familiar and comfortable with programming a high-level computer language. (Also offered as CS 853.)
Equivalent(s): CS 853
Instructors: Mark Lyon
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MWF 12:40pm - 2:00pm KING N343