Timeroom: Fall 2021

Displaying 111 - 120 of 161 Results for: Subject = MATH
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 737 (1ON) - Statistical Methods for Quality Improvement and Design

Stat Methods for QI & Design

Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   60  
CRN: 12743
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 are 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. Prereq: MATH 539,MATH 644; or permission.
Classes not allowed in section: Freshman, Sophomore
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 739 (01) - Applied Regression Analysis

Applied Regression Analysis

Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   9  
CRN: 10212
Statistical methods for the analysis of relationships between response and input variables: simple linear regression, multiple regression analysis, residual analysis and model selection, multi-collinearity, nonlinear curve fitting, categorical predictors, analysis of variance, analysis of covariance, examination of validity of underlying assumptions, logistic regression analysis. Emphasizes real applications with use of statistical software. Prereq: MATH 539 (or 644). Writing intensive.
Classes not allowed in section: Freshman, Sophomore
Attributes: Writing Intensive 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 739 (1SY) - Applied Regression Analysis

Applied Regression Analysis

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   15  
CRN: 15225
Statistical methods for the analysis of relationships between response and input variables: simple linear regression, multiple regression analysis, residual analysis and model selection, multi-collinearity, nonlinear curve fitting, categorical predictors, analysis of variance, analysis of covariance, examination of validity of underlying assumptions, logistic regression analysis. Emphasizes real applications with use of statistical software. Prereq: MATH 539 (or 644). Writing intensive.
Attributes: Writing Intensive Course
Instructors: Michelle Capozzoli
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MWF 8:10am - 9:30am ONLINE
Manchester   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 739 (M1) - Applied Regression Analysis

Applied Regression Analysis

Credits: 4.0
Term: Fall 2021 - UNHM Credit (15 weeks) (08/30/2021 - 12/13/2021)
Class Size:   10  
CRN: 15190
Statistical methods for the analysis of relationships between response and input variables: simple linear regression, multiple regression analysis, residual analysis and model selection, multi-collinearity, nonlinear curve fitting, categorical predictors, analysis of variance, analysis of covariance, examination of validity of underlying assumptions, logistic regression analysis. Emphasizes real applications with use of statistical software. Prereq: MATH 539 (or 644). Writing intensive.
Attributes: Writing Intensive Course
Start Date End Date Days Time Location
8/30/2021 12/13/2021 T 5:31pm - 8:30pm PANDRA P365
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 740 (1ON) - Design of Experiments I

Design of Experiments I

Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   50  
CRN: 11738
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. Prereq: MATH 539 (or 644); or permission.
Classes not allowed in section: Freshman, Sophomore
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 745 (01) - Foundations of Applied Mathematics I

Foundations of Applied Math

Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   20  
CRN: 10944
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. Prereq: MATH 527 and MATH 528; or equivalent.
Classes not allowed in section: Freshman, Sophomore
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 753 (01) - Introduction to Numerical Methods I

Intro to Numerical Methods I

Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   25  
CRN: 14166
Introduces mathematical algorithms and methods of approximation. Topics include a wide survey of approximation methods. Methods examined include polynomial interpolation, root finding, numerical linear algebra, numerical integration, and the approximation of differential equations. Included in each case is a study of the accuracy and stability of a given technique, as well as its efficiency. Prereq: MATH 426; MATH 445 (or CS 410 or IAM 550).
Classes not allowed in section: Freshman, Sophomore
Instructors: Mark Lyon
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MWF 12:40pm - 2:00pm KING N343
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 755 (01) - Probability with Applications

Probability with Applications

Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   5  
CRN: 10719
Introduces the theory, methods, and applications of randomness and random processes. Probability concepts, random variable, expectation, discrete and continuous probability distributions, joint distributions, conditional distributions; moment-generating functions, convergence of random variables. Prereq: MATH 528 and MATH 539 (or MATH 644).
Classes not allowed in section: Freshman, Sophomore
Instructors: Linyuan Li
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MWF 9:40am - 11:00am KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 755 (1SY) - Probability with Applications

Probability with Applications

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   15  
CRN: 15226
Introduces the theory, methods, and applications of randomness and random processes. Probability concepts, random variable, expectation, discrete and continuous probability distributions, joint distributions, conditional distributions; moment-generating functions, convergence of random variables. Prereq: MATH 528 and MATH 539 (or MATH 644).
Instructors: Linyuan Li
Start Date End Date Days Time Location
8/30/2021 12/13/2021 MWF 9:40am - 11:00am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 759 (1ON) - Introduction to the R Software

Introduction to the R Software

Course Delivery Method: Online (no campus visits), EUNH
Credits: 1.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Class Size:   30  
CRN: 13712
This course provides a basic introduction to the open-sources statistical software R for students who have never used this software or have never formally learned the basics of it. Topics include: Numeric calculations, simple and advanced graphics, object management and work-flow, RStudio, user-contributed packages, basic programming, writing of functions, statistical modeling and related graphs, distributed computing, reproducible research and document production via markup language. Cr/F.
Instructors: Ernst Linder
Start Date End Date Days Time Location
8/30/2021 12/13/2021 Hours Arranged ONLINE