Timeroom: Fall 2023

Displaying 521 - 530 of 800 Results for: Attributes = EUNH
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 834 (02) - Statistical Computing

Statistical Computing

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: 14639
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 835 or MATH 838 or MATH 839
Cross listed with : MATH 734.02
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: Qi Zhang
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 835 (02) - Statistical Methods for Research

Statistical Mthds for Research

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:   5  
CRN: 13536
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: Qi Zhang
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MW 11:10am - 12:30pm ONLINE
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 (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 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
CPS Online   Coll of Professional Studies :: Management-CPSO

MGMT 410 (01) - Principles of Management

Principles of Management

Online Course Delivery Method: Online Asynchronous
Credits: 4.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 16257
This course examines a wide range of business theories and practical applications related to effective management. In addition to learning about what management is and what managers do, students also explore and assess their own management skills and styles. Students apply critical thinking skills to core business functions. Focus is on contributing factors to management styles such as communication, the role of the manager, design of the organization, ethical issues, social responsibility and globalization. Course format may include the application of these management roles and competencies through experiential activities, group exercises and case analysis.
Advisor Approval Required. Contact your Academic Advisor for approval and registration.
Equivalent(s): MGMT 500G
Campuses not allowed in section: Durham
Attributes: Writing Intensive Course, Online (no campus visits), EUNH
Instructors: Sunil Ramlall
Start Date End Date Days Time Location
8/28/2023 10/20/2023 Hours Arranged ONLINE
CPS Online   Coll of Professional Studies :: Management-CPSO

MGMT 410 (02) - Principles of Management

Principles of Management

Online Course Delivery Method: Online Asynchronous
Credits: 4.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 16258
This course examines a wide range of business theories and practical applications related to effective management. In addition to learning about what management is and what managers do, students also explore and assess their own management skills and styles. Students apply critical thinking skills to core business functions. Focus is on contributing factors to management styles such as communication, the role of the manager, design of the organization, ethical issues, social responsibility and globalization. Course format may include the application of these management roles and competencies through experiential activities, group exercises and case analysis.
Advisor Approval Required. Contact your Academic Advisor for approval and registration.
Equivalent(s): MGMT 500G
Campuses not allowed in section: Durham
Attributes: Writing Intensive Course, Online (no campus visits), EUNH
Instructors: Sunil Ramlall
Start Date End Date Days Time Location
10/30/2023 12/22/2023 Hours Arranged ONLINE
CPS Online   Coll of Professional Studies :: Management-CPSO

MGMT 566 (01) - Organizational Behavior

Organizational Behavior

Online Course Delivery Method: Online Asynchronous
Credits: 4.0
Term: Fall 2023 - Term 1 (08/28/2023 - 10/20/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 16259
This course focuses on practical application of current research and concepts in human behavior in order to understand and analyze organizations. Interpersonal processes, problem-solving, and managerial decision-making are considered through examination of the roles of power, politics, ethics, and conflict in organizations. Topics may include individual behavior, motivation and performance, interpersonal relations, small group relations, the role of leadership, and organizational culture.
Advisor Approval Required. Contact your Academic Advisor for approval and registration.
Equivalent(s): MGMT 566G
Campuses not allowed in section: Durham
Attributes: Writing Intensive Course, Online (no campus visits), EUNH
Instructors: Caroline Groves
Start Date End Date Days Time Location
8/28/2023 10/20/2023 Hours Arranged ONLINE