Timeroom: Spring 2024

Durham Engineering&Physical Sciences :: Mathematics&Statistics

MATH 883 (01) - Set Theory

Set Theory

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 5
CRN: 56770

Axiomatic set theory, including its history, Zermelo-Fraenkel axioms, ordinal and cardinal numbers, consistency, independence, and undecidability. (Not offered every year.)

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Cross listed with : MATH 783.01

Instructors: David Feldman

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	MW	2:10pm - 4:00pm	PARS N114

Durham Engineering&Physical Sciences :: Mathematics&Statistics

MATH 888 (01) - Complex Analysis

Complex Analysis

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 5
CRN: 50300

Complex functions, sequences, limits, differentiability and Cauchy-Riemann equations, elementary functions, Cauchy's theorem and formula, Taylor's and Laurent's series, residues, conformal mapping.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Prerequisite(s): MATH 867 with minimum grade of B-

Cross listed with : MATH 788.01

Instructors: Rita Hibschweiler

	Start Date	End Date	Days	Time	Location
	1/23/2024	5/6/2024	MWF	12:40pm - 2:00pm	KING N334
Final Exam	5/13/2024	5/13/2024	M	3:30pm - 5:30pm	KING N334

Durham Engineering&Physical Sciences :: Mathematics&Statistics

MATH 898 (01) - Master's Project

Master's Project

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Graduate Credit/Fail grading

Class Size: 1
CRN: 51875

Master's Project.

Department Approval Required. Contact Academic Department for permission then register through Webcat.

Repeat Rule: May be repeated for a maximum of 6 credits.

Instructors: Adam Boucher

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024		Hours Arranged	TBA

Durham Engineering&Physical Sciences :: Mathematics&Statistics

MATH 946 (01) - Advanced Theory of Statistics II

Adv Theory of Statistics II

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 10
CRN: 56760

Asymptotic statistical inference: consistency, asymptotic normality and efficiency. Hypothesis testing: Neyman-Pearson lemma, uniformly most powerful test, generalized likelihood ration tests, Chi squared goodness-of-fit tests, Wald tests and related confidence intervals, pivotal quantities, optimality properties. Modern likelihood methods (quasi, pseudo and composite). Algorithmic inference: Gibbs sampling, bootstrapping, simultaneous inferences in high-dimensional data and functional data. Nonparametric and semiparametric estimation methods, asymptotic estimation theory and large sample tests.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Prerequisite(s): MATH 945

Instructors: Qi Zhang

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	MW	9:40am - 11:00am	KING N204

Durham Engineering&Physical Sciences :: Mathematics&Statistics

MATH 952 (01) - Algebra II

Algebra II

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 10
CRN: 50233

Field extensions; Galois theory; module theory.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Prerequisite(s): MATH 951 with minimum grade of B-

Instructors: Dmitri Nikshych

	Start Date	End Date	Days	Time	Location
	1/23/2024	5/6/2024	MW	11:10am - 12:30pm	KING N204
Final Exam	5/10/2024	5/10/2024	F	10:30am - 12:30pm	KING N204

Durham Engineering&Physical Sciences :: Mathematics&Statistics

MATH 953 (01) - Analysis I

Analysis I

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 15
CRN: 50391

Measurable spaces and functions, measures, Lebesgue integrals, convergence theorems.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Prerequisite(s): MATH 867 with minimum grade of B-

Instructors: Donald Hadwin

	Start Date	End Date	Days	Time	Location
	1/23/2024	5/6/2024	MW	2:10pm - 3:30pm	KING N204
Final Exam	5/10/2024	5/10/2024	F	1:00pm - 3:00pm	KING N204

Durham Engineering&Physical Sciences :: Mathematics&Statistics

MATH 955 (01) - Topology I

Topology I

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 15
CRN: 52746

Subspace, product, and quotient topologies; embedding; separation and countability axioms; connectedness; compactness and compactifications; paracompactness, metrization, and metric completions.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Prerequisite(s): MATH 884 with minimum grade of B-

Instructors: Maria Basterra

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	MW	12:40pm - 2:00pm	KING N204

Durham Engineering&Physical Sciences :: Mathematics&Statistics

MATH 968 (B01) - Topics in Mathematics Education I

Topics Mathematics Education I

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 5
CRN: 56761

A) The Teaching and Learning of Mathematics; B) Curriculum and History in Mathematics Education. Topics selected from: epistemologies of knowledge applied to mathematics; theories of learning and teaching mathematics; theoretical perspectives in research; mathematics education research programs K-16; research methods for studying mathematics teaching, learning, and curricula; theoretical frameworks for curriculum development, implementation of new curricula, and research on curricula; historical perspectives of research in mathematics education; the evolution and history or K-16 mathematics curricula both in United States and internationally. Versions A and B offered alternately.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Prerequisite(s): MATH 958 with minimum grade of B-

Repeat Rule: May be repeated for a maximum of 99 credits.

Instructors: Karen Graham

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024		Hours Arranged	TBA

Durham Engineering&Physical Sciences :: Mathematics&Statistics

MATH 973 (01) - Topics in Operator Theory

Topics in Operator Theory

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 5
CRN: 52161

Selected topics in operator theory.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Prerequisite(s): MATH 863 with minimum grade of B-

Repeat Rule: May be repeated for a maximum of 99 credits.

Instructors: Donald Hadwin

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024		Hours Arranged	TBA

Durham Engineering&Physical Sciences :: Mathematics&Statistics

MATH 978 (01) - Topics in Mathematics Education II

Topics in Math Education II

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading

Class Size: 5
CRN: 56762

An exploration of an area of research in mathematics education.

Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.

Repeat Rule: May be repeated for a maximum of 99 credits.

Instructors: Sheree Sharpe

Start Date	End Date	Days	Time	Location
1/23/2024	5/6/2024	M	1:10pm - 4:00pm	KING W390

Additional Course Details:

Topic: Introduction to Systematic Reviews and Meta-Analysis

This course provides an introduction to systematic reviews and meta-analysis. Students will learn the stages of conducting systematic reviews aimed at identifying, appraising and synthesizing all the relevant studies on a given topic. The focus will be on the quantitative synthesis of empirical studies in a systematic review using meta-analysis. The course will demonstrate the use of tools to organize literature searches and conduct screening and coding of eligible studies. Students will also learn to use the statistical programming language R to conduct meta-analysis. No prior experience in R is required for the course. The course will consist of weekly readings, lectures, activities, and R training. The grading for this course will be a combination of participation, homework assignments, article critique, and a final paper.