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Che 441

Fall 2003

 

Computer Applications in Chemical Engineering (Che441)
(4 graduate course credits, 3 undergraduate course credits)
(On the web: http:\\vienna.che.uic.edu\teaching)


The course will introduce mathematical modeling and computational solution approaches to problems in chemical engineering and life science. Applications and discussions will include reaction kinetics, metabolic reaction networks, transport problems in biological systems, synthesis and analysis of biochemical and genetic function pathways. Priority will be given to selecting and deploying computational tools for obtaining the numerical solutions. Techniques in system dynamics will include maps and graphs, initial and boundary value problems, finite element and collocation methods for lumped or distributed systems, frequency domain techniques, as well as an introduction into dynamic optimization.

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 227: 02.00 - 03.10 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. “Computer Methods for Ordinary Differential Equations and Differential Algebraic Equations”, U. Acher and L. Petzold, SIAM Book, ISBN 0-89871-412-5, 1998.
  2. “Numerical Mathematics”, A. Quateroni, R. Sacco, F. Salieri, Springer, 1997.
  3. “Numerical Recipes in C- The Art of Scientific Computing”, Press et al, Cambridge University Press, 1992.