Timeroom: Spring 2024

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: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 51878
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: Students registering for this section must bring their own laptop to lab since it is not scheduled in a computer lab. The other two sections are scheduled in a computer lab.
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
Only listed colleges in section: Engineering&Physical Sciences
Only listed majors in section: MECHANICAL ENGR, OCEAN ENGR
Instructors: John McClain
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MW 2:10pm - 3:00pm KING N310
1/23/2024 5/6/2024 TR 2:10pm - 3:30pm KING N101
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 550 (02) - Introduction to Engineering Computing

Intro to Engineering Computing

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 52417
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
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 McClain
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MW 3:10pm - 4:00pm KING N129
1/23/2024 5/6/2024 TR 2:10pm - 3:30pm KING N101
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 550 (03) - Introduction to Engineering Computing

Intro to Engineering Computing

Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 52418
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
Only listed campus in section: Durham
Instructors: John McClain
Start Date End Date Days Time Location
1/23/2024 5/6/2024 MW 5:10pm - 6:00pm KING N129
1/23/2024 5/6/2024 TR 2:10pm - 3:30pm KING N101
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 932 (01) - Graduate Partial Differential Equations

Graduate Partial Diff Eqns

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 52727
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. A solid foundation in Ordinary Differential Equations 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
1/23/2024 5/6/2024 MW 12:40pm - 2:00pm KING N345
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 933 (01) - Applied Functional Analysis

Applied Functional Analysis

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   12  
CRN: 56752
Introduction to rigorous mathematical analysis from the perspective of applications. Topics include: metric and normed spaces; convergence; completeness; continuity; Lebesgue measure theory; convergence theorems; Banach, Hilbert, Lp, and Sobolev spaces; orthogonality, bases, and projections; Sturm-Liouville theory; spectral theory; distributions; and weak solutions. Applications including to differential and integral equations, are presented throughout. Knowledge of real analysis is required, or graduate level introductory courses in mathematical physics or applied mathematics should be taken 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
1/23/2024 5/6/2024 MW 9:40am - 11:00am KING N345
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 962 (01) - Numerical Partial Differential Equations

Numerical PDE's

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   18  
CRN: 56753
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: John McHugh
Start Date End Date Days Time Location
1/23/2024 5/6/2024 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 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   60  
CRN: 53829
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
1/23/2024 5/6/2024 R 12:40pm - 2:00pm KING S145
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 998 (01) - Independent Study/Reading Course

Reading Course

Credits: 3.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   5  
CRN: 55094
Independent investigation of graduate-level problems or topics in Integrated Applied Mathematics under the guidance of a faculty member. 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
1/23/2024 5/6/2024 Hours Arranged TBA