Timeroom: Fall 2022

Displaying 261 - 270 of 428 Results for: Attributes = EUNH
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 835 (1SY) - Statistical Methods for Research

Statistical Mthds for Research

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   17  
CRN: 14331
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: Qi Zhang
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MW 9:40am - 11:00am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

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

Stat Methods for QI & Design

Online Course Delivery Method: Online (no campus visits), EUNH
Can be taken by students who are remote.
Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 12462
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
8/29/2022 12/12/2022 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 839 (1SY) - Applied Regression Analysis

Applied Regression Analysis

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 14332
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
8/29/2022 12/12/2022 MWF 8:10am - 9:30am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 840 (1ON) - Design of Experiments I

Design of Experiments I

Online Course Delivery Method: Online (no campus visits), EUNH
Can be taken by students who are remote.
Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 11574
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
8/29/2022 12/12/2022 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 855 (1SY) - Probability with Applications

Probability with Applications

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 14333
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.
Instructors: Linyuan Li
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MWF 9:40am - 11:00am ONLINE
Durham   Paul College of Business&Econ :: Marketing

MKTG 644 (1ON) - Retail Management in an Omnichannel World

Retail Management

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   35  
CRN: 15367
Success in retail requires managing multiple channels - online, traditional brick & mortar, and hybrid combinations. This course examines a broad range of retail management topics covering retailer types, selection of channels and locations, understanding online and in-store shopper behavior, financial strategy, purchasing, merchandise assortments including across products and services retailing, pricing, visual merchandising, and customer service and experience. Prereq: ADMN 585 or MKTG 550 or MKTG 535.
Equivalent(s): MKTG 754
Classes not allowed in section: Freshman
Only listed majors in section: BUSADM:MKT
Instructors: Thomas Gruen
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged ONLINE
Durham   Liberal Arts :: Music

MUSI 795 (1ON) - Special Studies

SpcStud/Intro Music Production

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 16278
A) J.S. Bach, B) Franz Schubert, C) Debussy and Ravel, D) the world of jazz, E) piano literature, F) 19th century French music, G) advanced analysis, H) advanced study in electronic music, I) composition through computer-generated sound, J) woodwind literature, K) brass literature, L) string literature, M) medieval performance practice, N) renaissance performance practice, O) baroque performance practice, P) classical performance practice, Q) 19th century performance practice, R) 20th century performance practice, S) woodwind repair, T) string repair, U) advanced jazz improvisation, V) advanced piano pedagogy, W) advanced accompanying, X) advanced conducting, Y) independent study. Prereq: permission. May be repeated for credit with permission.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated up to 4 times.
Equivalent(s): MUSI 795W
Instructors: Christopher Klaxton
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged ONLINE
Durham   Life Sciences & Agriculture :: Natural Resources

NR 787 (1SY) - Advanced Topics in Sustainable Energy

Adv Topics Sustainable Energy

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   24  
CRN: 12403
Special Fees: $36.00
This course engages students in advanced topics in sustainable energy. Course reviews basic structures of our energy system, energy markets and economics, and the environmental, economic and technological of energy landscape. Focus is on electricity and building use with introductions to the transportation system. Students gain the knowledge to evaluate innovations in technology, policy and financing necessary to implement sustainable energy goals from conservation and efficiency to renewables and energy storage. Special fee.
Instructors: STAFF
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MW 3:10pm - 4:30pm ONLINE
Durham   Life Sciences & Agriculture :: Natural Resources

NR 887 (1SY) - Advanced Topics in Sustainable Energy

Adv Topics Sustainable Energy

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   6  
CRN: 12683
Special Fees: $36.00
This course will engage students in advanced topics in sustainable energy. Course reviews basic structure of our energy system, energy markets and economics, and the environmental, economic and technological of our energy landscape. Focus will be on electricity and building use with introductions to the transportation system. Students will gain the knowledge to evaluate innovations in technology, policy and financing necessary to implement sustainable energy goals from conservation and efficiency to renewables and energy storage. Prereq: NR 507 or CHE 410 or POLT 444.
Instructors: STAFF
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MW 3:10pm - 4:30pm ONLINE
Durham   Life Sciences & Agriculture :: Neuroscience and Behavior

NSB 500 (1ON) - Fundamentals of Neuroscience and Behavior I

Neuroscience and Behavior I

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   48  
CRN: 12705
The course will introduce students to the fundamental neural processes underlying behavior. It will begin with a detailed examination of the properties of individual neurons and then move on to demonstrate how neurons can communicate together to produce complex behaviors. Some of the basic concepts that will be covered will include: the molecular basis of electrical and chemical communication, sensory transduction and processing, neuropharmacology, the neural basis of reflexes and simple behavior, development of the nervous system and the influence of external stimuli on neural processing. Prereq: BIOL 411 and BIOL 412 and CHEM 403 and CHEM 404.
Co-Requisite: NSB 501
Only listed majors in section: NEUROSCI LA, NEUROSCI LSA
Instructors: Kate Christison-Lagay
Start Date End Date Days Time Location
8/29/2022 12/12/2022 TR 8:10am - 9:30am TBA