Timeroom: Fall 2020

Displaying 151 - 160 of 163 Results for: Subject = MATH
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 944 (01) - Spatial Statistics

Spatial Statistics

Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   10  
CRN: 16723
Frequentist and Bayesian methods for estimation of characteristics measured in space (usually 2-dimensional Euclidean space). Spatial averaging. Spatial point processes: models for clustering and inhibition. Cluster detection. Point referenced data: variogram estimation, Kriging, spatial regression. Lattice based data: spatial auto-regression, Markov random field models. Spatial regression models. Non-Gaussian response variables. Hierarchical Bayesian spatial models and Markov chain Monte Carlo methods. Multivariable spatial models. Mastery of intermediate statistics including basics of maximum likelihood estimation; linear regression modeling including familiarity with matrix notation, basic concepts of calculus including partial derivatives is required for this course.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Ernst Linder
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MW 2:10pm - 3:30pm KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 944 (1SY) - Spatial Statistics

Spatial Statistics

Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   15  
CRN: 16951
Frequentist and Bayesian methods for estimation of characteristics measured in space (usually 2-dimensional Euclidean space). Spatial averaging. Spatial point processes: models for clustering and inhibition. Cluster detection. Point referenced data: variogram estimation, Kriging, spatial regression. Lattice based data: spatial auto-regression, Markov random field models. Spatial regression models. Non-Gaussian response variables. Hierarchical Bayesian spatial models and Markov chain Monte Carlo methods. Multivariable spatial models. Mastery of intermediate statistics including basics of maximum likelihood estimation; linear regression modeling including familiarity with matrix notation, basic concepts of calculus including partial derivatives is required for this course.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Ernst Linder
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MW 2:10pm - 3:30pm ONLINE
Additional Course Details: 

MATH 944 (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 951 (01) - Algebra I

Algebra I

Can be taken by students who are remote.
Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   10  
CRN: 10362
Groups and their homomorphisms, products and sums, structure of groups; rings and their homomorphisms, ideals, factorization properties.
You must sign up in the Dept Office before registering through WEBCAT.
Prerequisite(s): MATH 861 with minimum grade of B-
Instructors: Dmitri Nikshych
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MW 2:10pm - 3:30pm PARS N114
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 954 (01) - Analysis II

Analysis II

Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   7  
CRN: 10363
Cauchy theory and local properties of analytic functions, Riemann mapping theorem, representation theorems, harmonic functions.
You must sign up in the Dept Office before registering through WEBCAT.
Prerequisite(s): MATH 888 with minimum grade of B-
Instructors: Junhao Shen
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MW 11:10am - 12:30pm KING N345
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 958 (01) - Foundations of Math Education

Foundations of Math Education

Credits: 1.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   10  
CRN: 15338
Topics include: major issues and trends in mathematics education research, the profession and infrastructure of mathematics education, theoretical perspectives, cultural and historical aspects of mathematics education, and the research-practice interface. Examples span the K-16 spectrum.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Karen Graham
Start Date End Date Days Time Location
8/31/2020 12/11/2020 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 959 (1ON) - Introduction to Research Design in STEM Education

Intro to Research in STEM Ed

Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   15  
CRN: 16443
This course provides an overview of research design including preliminary considerations that go into selecting a qualitative, quantitative, or mixed methods design. Topics include the definition of the various approaches, developing research questions and/or hypotheses, reviewing the literature, understanding the use of theory, anticipating ethical issues, and developing writing strategies.
You must sign up in the Dept Office before registering through WEBCAT.
Instructors: Sheree Sharpe
Start Date End Date Days Time Location
8/31/2020 12/11/2020 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 966 (01) - Topics in Algebraic Topology I

Topics in Algebraic Topology I

Can be taken by students who are remote.
Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   7  
CRN: 14964
An introduction to topics in algebraic topology.
You must sign up in the Dept Office before registering through WEBCAT.
Prerequisite(s): MATH 956 with minimum grade of B-
Repeat Rule: May be repeated for a maximum of 99 credits.
Instructors: Maria Basterra
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MW 12:40pm - 2:00pm KING N345
Additional Course Details: 

A fundamental problem in topology is that of determining whether two spaces are or not topologically equivalent. The basic idea of algebraic topology is to associate algebraic objects (groups, rings, etc.) to a topological space in such a way that topologically equivalent spaces get assigned isomorphic objects. Such algebraic objects are invariants of the space, and provide a means for distinguishing between topological spaces. Two spaces with inequivalent invariants cannot be topologically equivalent.

We will begin the course by making this strategy precise in terms of categories and functors. One may then describe algebraic topology as the study of topology via functors to categories of algebraic objects. It turns out that this interplay yields information and interesting results in many other fields what makes this subject central to modern mathematics. After a review of the fundamental group and the theory of covering spaces we will go on to the study of homology and cohomology and discuss a number of applications.

Prerequisites

Familiarity with group theory and point-set topology. Quotient spaces will be particularly important. Some knowledge of the idea of homotopy, the fundamental group and the theory of covering spaces will be helpful, but a motivated student will be able to follow the course by referring to the material in Chapter 1 of Hatcher's textbook

http://pi.math.cornell.edu/~hatcher/AT/ATpage.html

 

Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 973 (01) - Topics in Operator Theory

Top/Operator Theory

Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   5  
CRN: 11210
Selected topics in operator theory.
You must sign up in the Dept Office before registering through WEBCAT.
Prerequisite(s): MATH 863 with minimum grade of B-
Repeat Rule: May be repeated for a maximum of 99 credits.
Instructors: STAFF
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MWF 3:40pm - 5:00pm PARS NB24
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 979 (01) - Research Topics in Statistics

Research Topics in Statistics

Credits: 3.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   18  
CRN: 14726
An exploration of the main statistical issues and computational methods associated with research problems from such areas as survival analysis, reliability, latitudinal data, categorical data, spatio-temporal data, and industrial processes. Student term projects require: literature searches, presentation, use of modern statistical software, and written reports. May be repeated barring duplication of topic.
You must sign up in the Dept Office before registering through WEBCAT.
Repeat Rule: May be repeated up to unlimited times.
Instructors: Linyuan Li
Start Date End Date Days Time Location
8/31/2020 12/11/2020 MW 12:40pm - 2:00pm PARS NB24
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 997 (01) - Statistics Seminar

Statistics Seminar

Credits: 1.0
Term: Fall 2020 - Full Term (08/31/2020 - 12/11/2020)
Class Size:   10  
CRN: 13543
A seminar of weekly and bi-weekly meetings organized by the statistics Ph.D. students with supervision by a statistics faculty member. Informal presentations of faculty members, students, and outside guest presenters; also discussion of topics that are of mutual interest to its participants. Dissertation proposal presentations. Seminar presentations are open to the greater public. Statistics Ph.D. students are required to enroll for at least 3 semesters. Attendance is mandatory by those students who are enrolled in the seminar. Credits do not count towards the Master's degree. Cr/F.
You must sign up in the Dept Office before registering through WEBCAT.
Repeat Rule: May be repeated for a maximum of 6 credits.
Instructors: Ernst Linder
Start Date End Date Days Time Location
8/31/2020 12/11/2020 Hours Arranged TBA