Timeroom: Spring 2024

Displaying 91 - 100 of 132 Results for: Subject = MATH
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 703 (01) - Teaching of Mathematics in Grades K-5

Teaching of Mathematics, K-5

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   20  
CRN: 52690
Methods of teaching mathematics at the elementary school level; uses of technology, manipulatives, models, and diagrams; developing unit and lesson plans; assessment ; instructional formats; teaching reading and writing in mathematics.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 621 or MATH 601
Cross listed with : MATH 803.01
Mutual Exclusion : EDC 724, EDC 733
Classes not allowed in section: Freshman, Sophomore
Instructors: Anne Wallace
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MW 4:40pm - 6:30pm KING N310
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 709 (01) - Teaching of Mathematics in Grades 6-12

Teaching of Mathematics, 6-12

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 54696
Methods of teaching mathematics at the middle and high school levels; uses of technology, manipulatives, models, and diagrams; developing unit and lesson plans; assessment; instructional formats; teaching reading and writing in mathematics.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 700
Mutual Exclusion : EDC 733, EDC 734
Classes not allowed in section: Freshman, Sophomore
Instructors: Orly Buchbinder
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MW 4:10pm - 6:00pm KING W387
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 736 (01) - Advanced Statistical Modeling

Advanced Statistical Modeling

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 56756
This is a course on statistical models behind normal linear model. Topics covered in this course include generalized linear model, linear mixed model, generalized additive model, generalized linear mixed model, generalized additive mixed model, and smoothing methods if time allows.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 739
Cross listed with : MATH 836.01
Classes not allowed in section: Freshman, Sophomore
Instructors: Qi Zhang
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MWF 8:10am - 9:30am KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 738 (01) - Data Mining and Predictive Analytics

Data Mining & Pred Analytics

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 53387
An introduction to supervised and unsupervised methods for exploring large data sets and developing predictive models. Unsupervised methods include: market basket analysis, principal components, clustering, and variables clustering. Important statistical and machine learning methods (supervised learning) include: Classification and Regression Trees (CART), Random Forests, Neural Nets, Support Vector Machines, Logistics Regression and Penalized Regression. Additional topics focus on metamodeling, validation strategies, bagging and boosting to improve prediction or classification, and ensemble prediction from a set of diverse models. Required case studies and projects provide students with experience in applying these techniques and strategies. The course necessarily involves the use of statistical software and programming languages. Undergraduate students are required to have junior or senior status to in enroll in this course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 539 or MATH 644
Cross listed with : MATH 838.01
Mutual Exclusion : IT 630
Classes not allowed in section: Freshman, Sophomore
Instructors: Philip Ramsey
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MW 12:40pm - 2:00pm KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 740 (01) - Design of Experiments I

Design of Experiments I

Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 51451
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 539 or MATH 644
Cross listed with : MATH 840.01
Classes not allowed in section: Freshman, Sophomore
Instructors: Philip Ramsey
Start Date End Date Days Time Location
1/23/2024 5/6/2024 Hours Arranged ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 747 (01) - Introduction to Nonlinear Dynamics and Chaos

Intro Nonlinear Dynamics&Chaos

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 57021
The mathematics of chaos and nonlinear dynamics. Topics include linear and nonlinear systems of ordinary differential equations, discrete maps, chaos, phase plane analysis, bifurcations and computer simulations.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 527 and MATH 528 and MATH 645
Cross listed with : MATH 847.01
Classes not allowed in section: Freshman, Sophomore
Instructors: Kevin Short
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MW 2:10pm - 4:00pm HS 150
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 756 (01) - Principles of Statistical Inference

Princpls Statistical Inference

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 53388
Introduces the basic principles and methods of statistical estimation and model fitting. One- and two-sample procedures, consistency and efficiency, likelihood methods, confidence regions, significance testing, Bayesian inference, nonparametric and re-sampling methods, decision theory.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 755
Cross listed with : MATH 856.01
Classes not allowed in section: Freshman, Sophomore
Instructors: Pei Geng
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MWF 11:10am - 12:30pm KING S320
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 756 (02) - Principles of Statistical Inference

Princpls Statistical Inference

Online Course Delivery Method: Scheduled meeting time, Online (no campus visits), EUNH
Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 50526
Introduces the basic principles and methods of statistical estimation and model fitting. One- and two-sample procedures, consistency and efficiency, likelihood methods, confidence regions, significance testing, Bayesian inference, nonparametric and re-sampling methods, decision theory.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 755
Cross listed with : MATH 856.02
Classes not allowed in section: Freshman, Sophomore
Instructors: Pei Geng
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MWF 11:10am - 12:30pm ONLINE
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 757 (01) - Mathematical Optimization for Applications

Mathematical Optimization

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   10  
CRN: 53552
This course introduces the foundations of mathematical optimization and reinforces them via applications. The content includes convex optimization, first and second-order methods, constrained problems, duality, linear and quadratic programming, as well as discrete and non-convex optimization. Applications will focus on machine learning methods but also include problems from engineering and operations research. Programming proficiency in MATLAB, R, Java, C, Python, or equivalent is required prior to taking this course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 426 or MATH 426H
Equivalent(s): CS 757
Cross listed with : MATH 857.01
Classes not allowed in section: Freshman, Sophomore
Instructors: Marek Petrik
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MWF 10:10am - 11:00am KING N113
Durham   Engineering&Physical Sciences :: Mathematics&Statistics

MATH 761 (01) - Abstract Algebra

Abstract Algebra

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   15  
CRN: 56758
This course establishes the axiomatic framework that underlies number systems and similar mathematical structures, investigating basic properties of groups, rings, fields and their homomorphisms.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 531
Classes not allowed in section: Freshman, Sophomore
Attributes: Writing Intensive Course
Instructors: Cain Edie-Michell
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MWF 9:40am - 11:00am MURK 104