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Che 431

Spring 2004

 

Numerical Methods in Chemical Engineering
(4 graduate course credits, 3 undergraduate course credits)
(On the web: http:\\vienna.che.uic.edu\teaching)

The course introduces principles of numerical analysis covering four major areas of practical significance: (i) linear algebra, (ii) non-linear systems (iii) system dynamics and (iv) optimization. Emphasis is placed on educating skills for correctly using and/or adapting established numerical methods.

The objective of the course is to attain theoretical understanding of important numerical methods and develop a personal set of computational tools by means of medium-size class project applications. The case studies will also provide ample opportunity for students to refine their personal presentation skill both in writing as well as orally.

The course will consist of lecture and discussion section as well as student projects. There will be no traditional homework. In the students’ projects, analytical software tools and design environments, e.g. MATLAB, MAPLE, GAMS, etc. will be used. Case studies will illustrate the applications of system theory in engineering and biology.

Lecture/Recitations: Monday, Wednesday, Friday as follows: Room CEB 214: 02.00 - 03.000 p.m.
Instructor:
Prof. Andreas A. Linninger   
Room 211, Email: linninge@uic.edu.
Prerequisites: Senior Standing in Chemical Engineering. Participants should be prepared to use their favorite language, e.g. C/C++, Pascal, Fortran, etc. for assignments.

Grading:   
Advanced courses should allow for a high degree of development of personal interests for future professional activity or research. Therefore emphasis will lie on independent project work consisting of a written and an oral part presented in class.
 
(a): Written Project Reports + Revisions:
 40 Points            
(b): Oral Presentation of Project Reports:
 20 Points
(c): Class participation + Quiz
 10 Points
(d): Midterm Exam
 10 Points
(e): Final Exam
 20 Points

The final exam may be waived for students with an overall A performance on all project assignments and the midterm exam.

Textbook/Notes:
  • Recommended Texts:
  1. “Numerical Mathematics”, A. Quateroni, R. Sacco, F. Salieri, Springer, 1997.
  2. “Numerical Recipes in C- The Art of Scientific Computing”, Press et al, Cambridge University Press, 1992.
  3. Additional material will be handed out in class.