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Graduate Course Proposal Form Submission Detail - ECH6670
Tracking Number - 2065

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Current Status: Approved, Permanent Archive - 2003-09-04
Submission Type:
Course Change Information (for course changes only):

Detail Information

  1. Date & Time Submitted: 2003-05-20
  2. Department: Chemical Engineering
  3. College: EN
  4. Budget Account Number: 210700000
  5. Contact Person: Aydin Sunol
  6. Phone: 9743566
  7. Email:
  8. Prefix: ECH
  9. Number: 6670
  10. Full Title: Mathematial Methods for Chemical Engineering
  11. Credit Hours: 3
  12. Section Type: C - Class Lecture (Primarily)
  13. Is the course title variable?: N
  14. Is a permit required for registration?: Y
  15. Are the credit hours variable?: N
  16. Is this course repeatable?:
  17. If repeatable, how many times?: 0
  18. Abbreviated Title (30 characters maximum): Math Met Che
  19. Course Online?: -
  20. Percentage Online:
  21. Grading Option: R - Regular
  22. Prerequisites: n/a
  23. Corequisites: n/a
  24. Course Description: Mathematical Modeling of Chemical Engineering Systems. Numerical and analytical solution methods for algebraic equations, ordinary differential equations, coupled differential and algebraic equations and partial differential equations.

  25. Please briefly explain why it is necessary and/or desirable to add this course: x
  26. What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? x
  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? x
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) x
  29. Objectives: The main objective of the course is · to enable deeper level of understanding of chemical and physical changes matter undergo through mathematical modeling and analysis.The objective could be achieved through mechanistic modeling, knowledge of numerical and analytical methods of solving such models, and familiarity with computational tools.
  30. Learning Outcomes: The students will be able to· To formulate a Chemical Engineering problem as a mathematical model· To solve the resulting models using numerical and/or analytical methods.· Be familiar with State of the Computational tools that enable solution of complex models
  31. Major Topics: List of Topics and OutlineCourse Preview (1lecture)Modeling (2 Lectures)Solution of Algebraic sets of equations (2 Lectures)Vectors and Matrices (2 Lectures)Solution of Ordinary Differential Equations Analytical Methods (1 Lecture) Approximate Methods (2 Lectures) Qualitative Analysis (1 Lecture) Numerical Methods (2 lectures) Initial Value Problems Boundary Value ProblemsSolution of Coupled Differential and Algebraic Equation (1 lecture)Complex Variables and Laplace Transforms (2 lectures)Partial Differential Methods Analytical Methods (2 lectures) Numerical Methods (4 lectures) Finite Difference MethodsFinite Element MethodsOptimization Model Formulation (1 lecture) Classical Optimizations Theory (1 lecture) Calculus of Variations (2 lectures)
  32. Textbooks: “Applied Mathematics and Modeling for Chemical Engineers” Rice and Do, Wiley, 1995
  33. Course Readings, Online Resources, and Other Purchases:
  34. Student Expectations/Requirements and Grading Policy:
  35. Assignments, Exams and Tests:
  36. Attendance Policy:
  37. Policy on Make-up Work:
  38. Program This Course Supports:
  39. Course Concurrence Information:

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