Timeroom: Fall 2019

Displaying 1 - 4 of 4 Results for: Title = IAM 550
Durham   Engineering&Physical Sciences :: Integrated Applied Mathematics

IAM 550 (01) - Introduction to Engineering Computing

Intro to Engineering Computing

Credits: 4.0
Term: Fall 2019 - Full Term (08/26/2019 - 12/09/2019)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 13614
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. No credit earned if credit received for MATH 445.
Section Comments: Physics students with permission.
Instructors: STAFF
Start Date End Date Days Time Location
8/26/2019 12/9/2019 TR 2:10pm - 3:30pm PARS N108
8/26/2019 12/9/2019 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 2019 - Full Term (08/26/2019 - 12/09/2019)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 13615
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. No credit earned if credit received for MATH 445.
Section Comments: Physics students with permission.
Instructors: STAFF
Start Date End Date Days Time Location
8/26/2019 12/9/2019 TR 2:10pm - 3:30pm PARS N108
8/26/2019 12/9/2019 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 2019 - Full Term (08/26/2019 - 12/09/2019)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 13616
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. No credit earned if credit received for MATH 445.
Section Comments: Physics students with permission.
Instructors: STAFF
Start Date End Date Days Time Location
8/26/2019 12/9/2019 TR 2:10pm - 3:30pm PARS N108
8/26/2019 12/9/2019 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 2019 - Full Term (08/26/2019 - 12/09/2019)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 13617
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. No credit earned if credit received for MATH 445.
Instructors: STAFF
Start Date End Date Days Time Location
8/26/2019 12/9/2019 TR 2:10pm - 3:30pm PARS N108
8/26/2019 12/9/2019 R 10:10am - 11:00am KING W114