Timeroom: Fall 2024

Displaying 91 - 100 of 138 Results for: Subject = MATH
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 734 (02) - Statistical Computing

Statistical Computing

Online Course Delivery Method: Online Synchronous
Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 13800
This is a course on statistics-oriented programming and common computational methodologies used in statistics. Students will learn principles and techniques of sample-splitting, cross-validation, simulation, bootstrap, and optimization, and how to implement them in R. The students will gain experience of reading/modifying, writing and debugging code, and how to speed up computation.
Prerequisite(s): MATH 738 or MATH 739
Cross listed with : MATH 834.02
Classes not allowed in section: Freshman, Sophomore
Instructors: Qi Zhang
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MWF 8:10am - 9:30am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 737 (01) - Statistical Methods for Quality Improvement and Design

Stat Methods for QI & Design

Online Course Delivery Method: Online Asynchronous
Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 14655
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.
Prerequisite(s): MATH 539 or MATH 644
Cross listed with : MATH 837.01
Classes not allowed in section: Freshman, Sophomore
Instructors: Philip Ramsey
Start Date End Date Days Time Location
8/26/2024 12/9/2024 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 739 (01) - Applied Regression Analysis

Applied Regression Analysis

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 10176
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.
Prerequisite(s): MATH 539 or MATH 644
Cross listed with : MATH 839.01
Classes not allowed in section: Freshman, Sophomore
Attributes: Writing Intensive Course
Instructors: Pei Geng
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MWF 8:10am - 9:30am KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 739 (02) - Applied Regression Analysis

Applied Regression Analysis

Online Course Delivery Method: Online Synchronous
Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 12904
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.
Prerequisite(s): MATH 539 or MATH 644
Cross listed with : MATH 839.02
Classes not allowed in section: Freshman, Sophomore
Attributes: Writing Intensive Course
Instructors: Pei Geng
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MWF 8:10am - 9:30am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 740 (01) - Design of Experiments I

Design of Experiments I

Online Course Delivery Method: Online Asynchronous
Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 11193
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.
Prerequisite(s): MATH 539 or MATH 644
Cross listed with : MATH 840.01
Classes not allowed in section: Freshman, Sophomore
Instructors: Michelle Capozzoli
Start Date End Date Days Time Location
8/26/2024 12/9/2024 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 745 (01) - Foundations of Applied Mathematics I

Foundations of Applied Math

Online Course Delivery Method: Online Synchronous
Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 10656
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.
Prerequisite(s): MATH 527 and MATH 528
Cross listed with : MATH 845.01
Classes not allowed in section: Freshman
Instructors: Marianna Shubov
Start Date End Date Days Time Location
8/26/2024 12/9/2024 TR 12:40pm - 2:00pm ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 753 (01) - Introduction to Numerical Methods I

Intro to Numerical Methods I

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 12513
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.
Prerequisite(s): MATH 426 and (MATH 445 or CS 410C or CS 410P or IAM 550)
Cross listed with : MATH 853.01
Classes not allowed in section: Freshman
Instructors: Mark Lyon
Start Date End Date Days Time Location
8/26/2024 12/9/2024 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 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 10495
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.
Prerequisite(s): MATH 528 and (MATH 539 or MATH 644)
Cross listed with : MATH 855.01
Classes not allowed in section: Freshman, Sophomore
Instructors: Linyuan Li
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MWF 9:40am - 11:00am KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 755 (02) - Probability with Applications

Probability with Applications

Online Course Delivery Method: Online Synchronous
Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 12905
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.
Prerequisite(s): MATH 528 and (MATH 539 or MATH 644)
Cross listed with : MATH 855.02
Classes not allowed in section: Freshman, Sophomore
Instructors: Linyuan Li
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MWF 9:40am - 11:00am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 760 (01) - Geometry

Geometry

Credits: 4.0
Term: Fall 2024 - Full Term (08/26/2024 - 12/09/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 11780
Advanced approach to fundamental properties of Euclidean and other geometries through deductive reasoning and proof.
Prerequisite(s): MATH 531
Attributes: Writing Intensive Course
Instructors: Orly Buchbinder
Start Date End Date Days Time Location
8/26/2024 12/9/2024 MW 2:10pm - 4:00pm KING N310