Timeroom: Fall 2023

Displaying 111 - 120 of 141 Results for: Subject = MATH
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 798 (01) - Senior Project

Senior Project

Credits: 4.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   1  
CRN: 11648
Students work either individually or as a group under the direction of a faculty sponsor to plan and carry out an independent research project resulting in a written report and presentation to the department. Prereq: Senior standing in the department; a written proposal approved by a faculty sponsor and by the department chairperson (or designee).
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed classes in section: Senior
Instructors: Karen Graham
Start Date End Date Days Time Location
8/28/2023 12/11/2023 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 799 (01) - Senior Thesis

Senior Thesis

Credits: 2.0 or 4.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   1  
CRN: 10786
Students work under the direction of a faculty sponsor to plan and carry out independent research resulting in a written thesis. Required for honors-in-major. Prereq: senior standing; a written proposal endorsed by a faculty sponsor and approved by the department chairperson (or designee).
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 4 credits.
Only listed classes in section: Senior
Attributes: Writing Intensive Course
Instructors: Karen Graham
Start Date End Date Days Time Location
8/28/2023 12/11/2023 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 801 (01) - Exploring Mathematics for Teachers I

Exploring Math for Teachers I

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 12119
Provides prospective elementary teachers with the opportunity to explore and master concepts involving number systems and operations, data analysis and probability. Additional topics may include geometry, measurement, and algebraic thinking. Mathematical reasoning, problem solving, and the use of appropriate manipulatives and technology are integrated throughout the course. Readings, class discussions, and assignments focus on mathematics content as well as applicable theories of learning, curriculum resources, and state and national recommendations. The course models instructional techniques that can be adapted to the elementary curricula. Credit offered only to M.Ed. and M.A.T., certificate students, and in-service teachers. (Not offered for credit if credit is received for MATH 821 or MATH 823.)
Section Comments: This course is not offered for credit to CEPS majors.
Prerequisite(s): (EDUC 500 or EDUC 935 with minimum grade of B- )
Equivalent(s): MATH 601, MATH 821, MATH 823
Instructors: STAFF
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MW 2:10pm - 4:00pm KING N310
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 831 (01) - Mathematics for Geodesy

Mathematics for Geodesy

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 11733
A survey of topics from undergraduate mathematics designed for graduate students in engineering and science interested in applications to geodesy and Earth Sciences. Topics include essential elements from analytic geometry, geometry of surfaces, linear algebra and statistics, Fourier analysis, discrete Fourier transforms and software, filtering applications to tidal data.
Prerequisite(s): (MATH 645 or MATH 645H or MATH 762 or MATH 862 with minimum grade of B- )
Majors not allowed in section: MATH APP, MATH:APPLIED, MATH:STATISTICS, MATHEMATICS, MATHEMATICS, MATHEMATICS, MATHEMATICS ED
Instructors: STAFF
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 12:10pm - 1:00pm CHASE 130
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 834 (01) - Statistical Computing

Statistical Computing

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 14638
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 835 or MATH 838 or MATH 839
Instructors: Qi Zhang
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 11:10am - 12:30pm KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 834 (02) - Statistical Computing

Statistical Computing

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
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.
Prerequisite(s): MATH 835 or MATH 838 or MATH 839
Instructors: Qi Zhang
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 11:10am - 12:30pm ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 835 (01) - Statistical Methods for Research

Statistical Mthds for Research

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 10595
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: STAFF
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MW 8:10am - 9:30am KING N310
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 835 (02) - 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 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.
Instructors: STAFF
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MW 8:10am - 9:30am 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.
Instructors: Michelle Capozzoli
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: Scheduled meeting time, Online (no campus visits), EUNH
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.
Instructors: Michelle Capozzoli
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 8:10am - 9:30am ONLINE