Timeroom: Fall 2020

Displaying 111 - 120 of 163 Results for: Subject = MATH
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 740 (1ON) - Design of Experiments I

Design of Experiments I

Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Grade Mode: Letter Grading
Class Size:   50  
CRN: 12050
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. Prereq: MATH 539 (or 644); or permission.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed campus in section: Durham, Manchester
Classes not allowed in section: Freshman, Sophomore
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 745 (1SY) - Foundations of Applied Mathematics I

Foundations of Applied Math

Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 11105
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. Prereq: MATH 527 and MATH 528; or equivalent.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed campus in section: Durham, Manchester
Classes not allowed in section: Freshman, Sophomore
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 TR 1:10pm - 2:30pm ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 753 (01) - Introduction to Numerical Methods I

Intro to Numerical Methods I

Can be taken by students who are remote.
Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 15330
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. Prereq: MATH 426; MATH 445 (or CS 410 or IAM 550).
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed campus in section: Durham, Manchester
Classes not allowed in section: Freshman, Sophomore
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MWF 12:40pm - 2:00pm MCC 240
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 755 (01) - Probability with Applications

Probability with Applications

Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 10828
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. Prereq: MATH 528 and MATH 539 (or MATH 644).
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed campus in section: Durham, Manchester
Classes not allowed in section: Sophomore, Freshman
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MWF 9:40am - 11:00am KING S320
Additional Course Details: 

Recommended section for international students. 

Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 755 (1SY) - Probability with Applications

Probability with Applications

Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 16947
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. Prereq: MATH 528 and MATH 539 (or MATH 644).
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed campus in section: Durham, Manchester
Attributes: Scheduled meeting time, Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MWF 9:40am - 11:00am ONLINE
Additional Course Details: 

MATH 755 (1SY)  is a SYNC course, an online course offered synchronously & archived. Campus visits may be required for exams. Coursework may be completed 100% online. Students may choose to attend the classes on campus or may log in remotely from their computers to interact with the class. It is expected that students are available during the scheduled class time.

Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 759 (1ON) - Introduction to the R Software

Introduction to the R Software

Credits: 1.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Grade Mode: Credit/Fail Grading
Class Size:   30  
CRN: 14631
This course provides a basic introduction to the open-sources statistical software R for students who have never used this software or have never formally learned the basics of it. Topics include: Numeric calculations, simple and advanced graphics, object management and work-flow, RStudio, user-contributed packages, basic programming, writing of functions, statistical modeling and related graphs, distributed computing, reproducible research and document production via markup language. Cr/F.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed campus in section: Durham, Manchester
Attributes: Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 760 (01) - Geometry

Geometry

Can be taken by students who are remote.
Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Grade Mode: Letter Grading
Class Size:   14  
CRN: 13418
Advanced approach to fundamental properties of Euclidean and other geometries through deductive reasoning and proof. Prereq: MATH 531. Writing intensive.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Equivalent(s): MATH 657
Only listed campus in section: Durham, Manchester
Attributes: Writing Intensive Course
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 TR 1:10pm - 3:00pm KING N113
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 761 (1SY) - Abstract Algebra

Abstract Algebra

Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 10228
This course establishes the axiomatic framework that underlies number systems and similar mathematical structures, investigating basic properties of groups, rings, fields and their homomorphisms. Prereq: MATH 531. Writing intensive.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed campus in section: Durham, Manchester
Classes not allowed in section: Freshman, Sophomore
Attributes: Writing Intensive Course, Scheduled meeting time, Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MWF 9:40am - 11:00am ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 767 (1SY) - One-Dimensional Real Analysis

One-Dimensional Real Analysis

Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 10895
Theory of limits, continuity, differentiability, and integrability. Prereq: MATH 531. Writing intensive.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed campus in section: Durham, Manchester
Classes not allowed in section: Freshman, Sophomore
Attributes: Writing Intensive Course, Scheduled meeting time, Online (no campus visits), EUNH
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MWF 11:10am - 12:30pm ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 770 (01) - Foundations of Number Theory

Foundations of Number Theory

Can be taken by students who are remote.
Credits: 4.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Grade Mode: Letter Grading
Class Size:   19  
CRN: 16438
Factorization and prime numbers, arithmetic functions, congruences, reciprocity laws, quadratic forms, Diophantine equations, computational number theory. Prereq: MATH 531. Offered in alternate years.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed campus in section: Durham, Manchester
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MWF 12:40pm - 2:00pm MORSE 217
Additional Course Details: 

The lectures will be given in class and also broadcasted via zoom. Notes and the recorded videos will be available online.  The tests should be taken in class in person.