Timeroom: Fall 2023

Displaying 1 - 10 of 24 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 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 11959
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.
Section Comments: Physics students with permission.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 426 May be taken concurrently
Mutual Exclusion : MATH 445
Instructors: Tracy Mandel
Start Date End Date Days Time Location
8/28/2023 12/11/2023 TR 2:10pm - 3:30pm DEM 112
8/28/2023 12/11/2023 TR 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 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 11961
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.
Section Comments: Physics students with permission.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 426 May be taken concurrently
Mutual Exclusion : MATH 445
Instructors: Tracy Mandel
Start Date End Date Days Time Location
8/28/2023 12/11/2023 TR 2:10pm - 3:30pm DEM 112
8/28/2023 12/11/2023 TR 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 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   21  
CRN: 11962
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 426 May be taken concurrently
Mutual Exclusion : MATH 445
Instructors: Tracy Mandel
Start Date End Date Days Time Location
8/28/2023 12/11/2023 TR 2:10pm - 3:30pm DEM 112
8/28/2023 12/11/2023 TR 10:10am - 11:00am CHASE 115
Additional Course Details: 

Students enrolled in Section 04 should bring their own laptop to their lab section if possible, as there are only 9 computers in the Chase computer cluster.

Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 830 (01) - Graduate Ordinary Differential Equations

Graduate Differential Equation

Credits: 3.0
Term: Fall 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 11487
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 Academic Department for permission then register through Webcat.
Instructors: Kevin Short
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MW 12:40pm - 2:00pm KING N345
Final Exam 12/14/2023 12/14/2023 R 10:30am - 12:30pm 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 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 12942
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. Knowledge of computer programming and linear algebra is required prior to taking this course.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Mark Lyon
Start Date End Date Days Time Location
8/28/2023 12/11/2023 MWF 10:10am - 11:00am KING N345
Final Exam 12/18/2023 12/18/2023 M 10:30am - 12:30pm 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 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 14294
Investigations of graduate-level problems or topics in Integrated Applied Mathematics. May be repeated barring duplication of subject.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated up to unlimited times.
Instructors: STAFF
Start Date End Date Days Time Location
8/28/2023 12/11/2023 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 2023 - Full Term (08/28/2023 - 12/11/2023)
Grade Mode: Letter Grading
Class Size:   60  
CRN: 14458
Investigations of graduate-level problems or topics in Integrated Applied Mathematics. May be repeated barring duplication of subject.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated up to unlimited times.
Instructors: STAFF
Start Date End Date Days Time Location
8/28/2023 12/11/2023 R 12:40pm - 2:00pm KING S145