Timeroom: Fall 2022

Displaying 1 - 10 of 21 Results for: Subject = IAM
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 550 (01) - Introduction to Engineering Computing

Intro to Engineering Computing

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 12306
An application driven introduction to computer-aided problem solving leveraging foundational knowledge in engineering and the physical sciences. Engineering applications are used to motivate the computational methods needed in scientific and engineering disciplines. Numerical methods, including the basic LU algorithm, one-dimensional root finding methods, and numerical differentiation and integration, are introduced as useful computational tools for tackling a broad range of engineering and scientific and engineering disciplines. Numerical methods, including the basic LU algorithm, one-dimensional root finding methods, the numerical differentiation and integration , are introduced as useful computational tools for tackling a broad range of engineering and scientific applications and to provide concrete and contextual programming experiences. MATLAB is used, with topics including scripts, functions, logical expressions, conditional statements, looping, data visualization, plotting, and recursion presented within the framework provided by both the numerical methods and the scientific or engineering problems. Laboratory included. Pre- or Coreq: MATH 426.
Section Comments: Physics students with permission.
Mutual Exclusion : MATH 445
Instructors: Tracy Mandel
Start Date End Date Days Time Location
8/29/2022 12/12/2022 TR 2:10pm - 3:30pm DEM 112
8/29/2022 12/12/2022 T 8:10am - 9:00am KING W114
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 550 (02) - Introduction to Engineering Computing

Intro to Engineering Computing

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 12307
An application driven introduction to computer-aided problem solving leveraging foundational knowledge in engineering and the physical sciences. Engineering applications are used to motivate the computational methods needed in scientific and engineering disciplines. Numerical methods, including the basic LU algorithm, one-dimensional root finding methods, and numerical differentiation and integration, are introduced as useful computational tools for tackling a broad range of engineering and scientific and engineering disciplines. Numerical methods, including the basic LU algorithm, one-dimensional root finding methods, the numerical differentiation and integration , are introduced as useful computational tools for tackling a broad range of engineering and scientific applications and to provide concrete and contextual programming experiences. MATLAB is used, with topics including scripts, functions, logical expressions, conditional statements, looping, data visualization, plotting, and recursion presented within the framework provided by both the numerical methods and the scientific or engineering problems. Laboratory included. Pre- or Coreq: MATH 426.
Section Comments: Physics students with permission.
Mutual Exclusion : MATH 445
Instructors: Tracy Mandel
Start Date End Date Days Time Location
8/29/2022 12/12/2022 TR 2:10pm - 3:30pm DEM 112
8/29/2022 12/12/2022 R 8:10am - 9:00am KING W114
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 550 (03) - Introduction to Engineering Computing

Intro to Engineering Computing

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 12308
An application driven introduction to computer-aided problem solving leveraging foundational knowledge in engineering and the physical sciences. Engineering applications are used to motivate the computational methods needed in scientific and engineering disciplines. Numerical methods, including the basic LU algorithm, one-dimensional root finding methods, and numerical differentiation and integration, are introduced as useful computational tools for tackling a broad range of engineering and scientific and engineering disciplines. Numerical methods, including the basic LU algorithm, one-dimensional root finding methods, the numerical differentiation and integration , are introduced as useful computational tools for tackling a broad range of engineering and scientific applications and to provide concrete and contextual programming experiences. MATLAB is used, with topics including scripts, functions, logical expressions, conditional statements, looping, data visualization, plotting, and recursion presented within the framework provided by both the numerical methods and the scientific or engineering problems. Laboratory included. Pre- or Coreq: MATH 426.
Section Comments: Physics students with permission.
Mutual Exclusion : MATH 445
Instructors: Tracy Mandel
Start Date End Date Days Time Location
8/29/2022 12/12/2022 TR 2:10pm - 3:30pm DEM 112
8/29/2022 12/12/2022 T 10:10am - 11:00am KING W114
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 550 (04) - Introduction to Engineering Computing

Intro to Engineering Computing

Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 12309
An application driven introduction to computer-aided problem solving leveraging foundational knowledge in engineering and the physical sciences. Engineering applications are used to motivate the computational methods needed in scientific and engineering disciplines. Numerical methods, including the basic LU algorithm, one-dimensional root finding methods, and numerical differentiation and integration, are introduced as useful computational tools for tackling a broad range of engineering and scientific and engineering disciplines. Numerical methods, including the basic LU algorithm, one-dimensional root finding methods, the numerical differentiation and integration , are introduced as useful computational tools for tackling a broad range of engineering and scientific applications and to provide concrete and contextual programming experiences. MATLAB is used, with topics including scripts, functions, logical expressions, conditional statements, looping, data visualization, plotting, and recursion presented within the framework provided by both the numerical methods and the scientific or engineering problems. Laboratory included. Pre- or Coreq: MATH 426.
Mutual Exclusion : MATH 445
Instructors: Tracy Mandel
Start Date End Date Days Time Location
8/29/2022 12/12/2022 TR 2:10pm - 3:30pm DEM 112
8/29/2022 12/12/2022 R 10:10am - 11:00am KING W114
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.
You must sign up in the Dept Office before registering 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 PARS NB24
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.
You must sign up in the Dept Office before registering 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
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 995 (01) - IAM Special Topics

IAM Special Topics

Credits: 1.0 to 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 15655
Investigations of graduate-level problems or topics in Integrated Applied Mathematics. May be repeated barring duplication of subject.
You must sign up in the Dept Office before registering through WEBCAT.
Repeat Rule: May be repeated up to unlimited times.
Instructors: STAFF
Start Date End Date Days Time Location
8/29/2022 12/12/2022 Hours Arranged TBA
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 995 (02) - IAM Special Topics

IAM Special Topics

Credits: 1.0 to 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:   50  
CRN: 16120
Investigations of graduate-level problems or topics in Integrated Applied Mathematics. May be repeated barring duplication of subject.
You must sign up in the Dept Office before registering through WEBCAT.
Repeat Rule: May be repeated up to unlimited times.
Instructors: Harish Vashisth
Start Date End Date Days Time Location
8/29/2022 12/12/2022 R 12:40pm - 2:00pm KING S145