Timeroom: Spring 2023

Displaying 1 - 10 of 18 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: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 52190
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 and Astronomy Students with permission.
Mutual Exclusion : MATH 445
Only listed colleges in section: Engineering&Physical Sciences
Only listed majors in section: MECHANICAL ENGR, OCEAN ENGR
Instructors: John Gibson
Start Date End Date Days Time Location
1/24/2023 5/8/2023 TR 2:10pm - 3:30pm KING N101
1/24/2023 5/8/2023 MW 2:10pm - 3:00pm KING N129
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 550 (02) - Introduction to Engineering Computing

Intro to Engineering Computing

Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 52834
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 and Astronomy Students with permission.
Mutual Exclusion : MATH 445
Only listed campus in section: Durham
Only listed colleges in section: Engineering&Physical Sciences
Only listed majors in section: MECHANICAL ENGR, OCEAN ENGR
Instructors: John Gibson
Start Date End Date Days Time Location
1/24/2023 5/8/2023 TR 2:10pm - 3:30pm KING N101
1/24/2023 5/8/2023 MW 3:10pm - 4:00pm KING N129
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 550 (03) - Introduction to Engineering Computing

Intro to Engineering Computing

Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 52835
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
Only listed campus in section: Durham
Instructors: John Gibson
Start Date End Date Days Time Location
1/24/2023 5/8/2023 TR 2:10pm - 3:30pm KING N101
1/24/2023 5/8/2023 MW 5:10pm - 6:00pm KING N129
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 751 (01) - Introduction to High-Performance Computing

High-Performance Computing

Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   7  
CRN: 52523
Course gives an introduction to select areas of high-performance computing, providing a basis for writing and working with high-performance simulation codes. The three main topics are: 1) basic software engineering, 2) high-performance and parallel programming, and 3) performance analysis and modeling. Additional topics may include hetergeneous architectures like GPUs and data analysis/visualization. Prereq: MATH 753 and working knowledge of a programming language (C or Fortran), or by permission of instructor.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Only listed campus in section: Durham
Only listed colleges in section: Engineering&Physical Sciences
Only listed classes in section: Junior, Senior
Instructors: Kai Germaschewski
Start Date End Date Days Time Location
1/24/2023 5/8/2023 TR 2:10pm - 3:30pm DEM 253
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 851 (01) - Introduction to High-Performance Computing

High-Performance Computing

Credits: 3.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   13  
CRN: 52524
Course gives an introduction to select areas of high-performance computing, providing a basis for writing and working with high-performance simulation codes. The three main topics are: 1) basic software engineering, 2) high-performance and parallel programming, and 3) performance analysis and modeling. Additional topics may include heterogeneous architectures like GPUs and data analysis/visualization. Prereq: Enrollment in a CEPS graduate program, MATH 753, working knowledge of a programming language (C or Fortran), or by permission of instructor.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: Kai Germaschewski
Start Date End Date Days Time Location
1/24/2023 5/8/2023 TR 2:10pm - 3:30pm DEM 253
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 932 (01) - Graduate Partial Differential Equations

Graduate Partial Diff Eqns

Credits: 3.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 53211
Graduate level introduction to the analysis of linear and nonlinear partial differential equations. topics include: separation of variables, Fourier series, weak and strong solutions, eigenfunction expansions, the Strum-Liouville problem, Green's functions and fundamental solutions, method of characteristics, and conservation laws. Prereq: Ordinary Differential Equations and Linear Algebra.
Instructors: Mark Lyon
Start Date End Date Days Time Location
1/24/2023 5/8/2023 MW 12:40pm - 2:00pm KING N345
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 962 (01) - Numerical Partial Differential Equations

Numerical PDE's

Credits: 3.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 53532
Numerical analysis applied to partial differential equations. Initial topics include the implementation of finite difference and spectral methods applied to the heat equation, wave equation, Burger's equation, and other model equations. The remainder of the course treats numerical analysis, starting with a brief review of function spaces. The primary topics include approximation theory for Sobolov spaces, projection operators, completeness, convergence, and error estimates. Prereq: IAM 961 or permission.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Instructors: John McHugh
Start Date End Date Days Time Location
1/24/2023 5/8/2023 TR 3:40pm - 5:00pm 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: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:   60  
CRN: 54680
Investigations of graduate-level problems or topics in Integrated Applied Mathematics. May be repeated barring duplication of subject.
Instructor Approval Required. Contact Instructor for permission then register through Webcat.
Repeat Rule: May be repeated up to unlimited times.
Instructors: STAFF
Start Date End Date Days Time Location
1/24/2023 5/8/2023 R 12:40pm - 2:00pm KING S145