Timeroom: Fall 2022

Displaying 461 - 470 of 1153 Results for: Level = All Graduate
Durham   Liberal Arts :: History

HIST 995 (07) - Tutorial Reading and Research

Tutorial Reading and Research

Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   1  
CRN: 16914
A) Early American History; B) American National History; C) Canada; D) Latin America; E) Medieval History; F) Early Modern Europe; G) Modern European History; H) Ancient History; I) East Asia; J) Near East and Africa; K) European Historiography; L) American Historiography; M) Russia; N) World History; O) English History; P) New Hampshire History; Q) Historical Methodology; R) Irish History; S) History of Science; T) Maritime; U) Museum Studies. Prereq: permission.
Department Approval Required. Contact Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 12 credits.
Instructors: David Bachrach
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Liberal Arts :: History

HIST 997 (01) - Directed Readings in Early American History

Dir Read/Early American Hist

Credits: 1.0 to 6.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   1  
CRN: 12433
Directed readings in Early American History. Supervised readings for students preparing for the Ph.D. examinations in Early American History. Cr/F. Permission required.
Department Approval Required. Contact Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Liberal Arts :: History

HIST 997 (04) - Directed Readings in Early American History

Dir Read/Early American Hist

Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   1  
CRN: 16798
Directed readings in Early American History. Supervised readings for students preparing for the Ph.D. examinations in Early American History. Cr/F. Permission required.
Department Approval Required. Contact Department for permission then register through Webcat.
Instructors: Eliga Gould
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Liberal Arts :: History

HIST 998 (01) - Directed Readings in Modern United States History

Dir Read/Modern US History

Credits: 1.0 to 6.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   1  
CRN: 11992
Supervised readings for students preparing for Ph.D. examinations in Modern U.S. History. Cr/F.
Department Approval Required. Contact Department for permission then register through Webcat.
Instructors: STAFF
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Liberal Arts :: History

HIST 998 (03) - Directed Readings in Modern United States History

Dir Read/Modern US History

Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   1  
CRN: 16799
Supervised readings for students preparing for Ph.D. examinations in Modern U.S. History. Cr/F.
Department Approval Required. Contact Department for permission then register through Webcat.
Instructors: Kurk Dorsey
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Liberal Arts :: History

HIST 999 (01) - Doctoral Research

Doctoral Research

Credits: 0.0
Term: Fall 2022 - Full Term* (08/29/2022 - 12/12/2022)
Grade Mode: Graduate Credit/Fail grading
Class Size:   20  
CRN: 12001
Cr/F.
Instructors: STAFF
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Health & Human Services :: Health Management & Policy

HMP 812 (01) - Health Analytics

Health Analytics

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   8  
CRN: 12463
This course introduces students to the field of health analytics and data science. It expands upon introductory statistical and data manipulation methods to include data mining, predictive analytics, cluster analysis, trend and pattern recognition, and data visualization. It couples data skills with interpretive and communication skills. Students will also be exposed to basic statistical programming. There will be a graduate component of the course (812) where students will work on advanced concepts and complete a separate culminating project.
Department Approval Required. Contact Department for permission then register through Webcat.
Equivalent(s): DATA 812
Only listed majors in section: ANALYTICS, PUB HEALTH CERT, PUBLIC HEALTH
Instructors: Esmaeil Bahalkeh
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MW 9:10am - 11:00am HEW 301
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 830 (01) - Graduate Ordinary Differential Equations

Graduate Differential Equation

Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   25  
CRN: 11695
Course is a graduate-level course on ordinary differential equations. It is designed to be accessible to first-year graduate students from math, science or engineering backgrounds who have had a first undergraduate course in differential equations, along with a standard calculus sequence. The course is designed to begin with an intensive review of undergraduate differential equations and then will proceed to handle more advanced concepts, starting with multi-dimensional coupled systems of ordinary differential equations, exponential matrix solutions, using coordinate transformations for conversion to standard forms, nonlinear systems and transform-based solutions, using coordinate transformations for conversion to standard forms, nonlinear systems and transform-based techniques. The course will have an interdisciplinary and applied style and will cover the following topics: Intense review of undergraduate differential equations, Power Series and Fourier Series solutions, Multi-dimensional D.E.s, eigenvectors and Jordan forms, Numerical Methods, Nonlinear D.E.s Dynamical Systems and Chaos.
Department Approval Required. Contact Department for permission then register through Webcat.
Instructors: Kevin Short
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MW 12:40pm - 2:00pm KING S320
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 940 (01) - Asymptotic and Perturbation Methods

Asymptotic&Perturbation Methds

Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 16121
Introduction to the asymptotic analysis of linear and nonlinear algebraic equations, ODEs, and PDEs and the asymptotic approximation of integrals arising as transform solutions to ODEs/PDEs. Topics include: algebraic equations and dominant balance; asymptotic approximations; complex variable theory and the asymptotic evaluation of integrals via Laplace's method, stationary phase, and steepest descents; the method of matched asymptotic expansions (boundary-layer theory), coordinate straining, multiple scales, averaging, homogenization theory, and WKBJ analysis for singularly perturbed ODEs and PDEs. Prereq: MATH 527, MATH 528, MATH 644 or equivalent. Pre- or Coreq: PHYS 931.
Instructors: Gregory Chini
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MW 3:40pm - 5:00pm KING N133
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 961 (01) - Numerical Analysis I: Numerical Linear Algebra

Numerical Linear Algebra

Credits: 3.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 13559
Introduction to numerical analysis and computational methods for linear systems. Topics include: IEEE floating point arithmetic; vector norms and induced norms; conditioning; projectors; LU decompositions; pivoting; Cholesky factorization; QR decompositions; Gram-Schmidt orthogonalization; Householder triangularization; Singular Value decompositions; least squares problems; stability; eigenvalue problems; power iterations; QR algorithm; Krylov methods; Arnoldi iteration; GMRES; Lanczos iteration; Conjugate gradient algorithms; and Preconditioning. Prereq: scientific programming and linear algebra.
Department Approval Required. Contact Department for permission then register through Webcat.
Instructors: John Gibson
Start Date End Date Days Time Location
8/29/2022 12/12/2022 MWF 10:10am - 11:00am KING N345