Timeroom: Fall 2023

Displaying 121 - 130 of 142 Results for: Subject = MATH
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 837 (01) - Statistical Methods for Quality Improvement and Design

Stat Methods for QI & Design

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 12106
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : MATH 737.01
Attributes: Online (no campus visits), EUNH
Instructors: Philip Ramsey
Start Date End Date Days Time Location
8/28/2023 12/11/2023 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 839 (01) - Applied Regression Analysis

Applied Regression Analysis

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 10238
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : MATH 739.01
Instructors: Pei Geng
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 8:10am - 9:30am KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 839 (02) - Applied Regression Analysis

Applied Regression Analysis

Online Course Delivery Method: Online Synchronous
Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 13537
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : MATH 739.02
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: Pei Geng
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 8:10am - 9:30am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 840 (01) - Design of Experiments I

Design of Experiments I

Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 11384
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : MATH 740.01
Attributes: Online (no campus visits), EUNH
Instructors: Michelle Capozzoli
Start Date End Date Days Time Location
8/28/2023 12/11/2023 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 845 (01) - Foundations of Applied Mathematics I

Foundations of Applied Math

Online Course Delivery Method: Online Synchronous
Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 10743
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : MATH 745.01
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: Marianna Shubov
Start Date End Date Days Time Location
8/28/2023 12/11/2023 TR 12:40pm - 2:00pm ONLINE
Final Exam 12/14/2023 12/14/2023 R 1:00pm - 3:00pm ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 853 (01) - Introduction to Numerical Methods

Introduction Numerical Methods

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 12998
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).
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : MATH 753.01
Instructors: Mark Lyon
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 12:40pm - 2:00pm KING N343
Final Exam 12/14/2023 12/14/2023 R 10:30am - 12:30pm KING N343
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 855 (01) - Probability with Applications

Probability with Applications

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 10570
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : MATH 755.01
Instructors: Linyuan Li
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 9:40am - 11:00am KING S320
Final Exam 12/18/2023 12/18/2023 M 8:00am - 10:00am KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 855 (02) - Probability with Applications

Probability with Applications

Online Course Delivery Method: Online Synchronous
Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 13538
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : MATH 755.02
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: Linyuan Li
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 9:40am - 11:00am ONLINE
Final Exam 12/18/2023 12/18/2023 M 8:00am - 10:00am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 861 (01) - Abstract Algebra

Abstract Algebra

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 12739
This course establishes the axiomatic framework that underlies number systems and similar mathematical structures, investigating basic properties of groups, rings, fields and their homomorphisms.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : MATH 761.01
Instructors: Cain Edie-Michell
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 9:40am - 11:00am MORSE 217
Final Exam 12/18/2023 12/18/2023 M 8:00am - 10:00am MORSE 217
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 865 (01) - Introduction to Commutative Algebra and Algebraic Geometry

Intro Comm Alg & Alg Geom

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 15781
Methods of determining solution sets of polynomial systems; affine varieties and their ideals; the 'algebra-geometry correspondence'; theory and applications of Grobner bases.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Cross listed with : MATH 765.01
Instructors: David Feldman
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 12:40pm - 2:00pm KING N328