Numerical methods applied to chemical engineering

Lectures: 3 sessions / week, 1 hour / session

Doing the homework is the best way to learn and you are encouraged to discuss the homework with the TAs, the professors, and other students in the class. It is fine to ask someone else to look over your shoulder to help you debug your programs, or so that person can see how you accomplished some task. However, You May Not:

It is acceptable to incorporate functions from other sources (e.g., from the previous week's posted homework solution); as long as the author / source of a function being recycled is properly credited in the homework. Violations of these policies will be considered cheating and can have very severe consequences.

Sometimes you may find a homework problem is consuming an inordinate amount of time even after you have asked for help. (This is an occupational hazard for all software developers.) If this happens, just turn in what you have done with a note indicating that you know your solution is incomplete. This course nominally requires 9 hours per week on average—perhaps a little more early on if you are not proficient with MATLAB.

Install this program as soon as possible (if not already installed). There will be MATLAB tutorial help sessions for any students who have not used this program before or who need a refresher. You are also encouraged to go through any of the numerous tutorials provided by Mathworks.

Required textbook: Beers, Kenneth J. Numerical Methods for Chemical Engineering: Applications in MATLAB. Cambridge University Press, 2006. ISBN: 9780521859714. [Preview with Google Books]

You are expected to read the course materials before class, and to read the materials again before doing homework. Some reference books that may be helpful:

Press, W. H. Numerical Recipes 3rd Edition: The Art of Scientific Computing. Cambridge University Press, 2007. ISBN: 9780521880688. [Preview with Google Books] (This comes in various editions) — This book provides short clear synopses of methods for many types of problems.

Rektenwald, G. Numerical Methods with MATLAB: Implementations and Applications. Pearson, 2000. ISBN: 9780201308600 — This book provides only simple numerical methods, but is good introdution to using MATLAB.

Heath, Michael T. Scientific Computing. The McGraw-Hill Companies, Incorporation, 2002. ISBN: 9780072399103 — This book has more concise coverage of many topics.

There are also a very large number of textbooks on numerical methods for engineers, many of which have helpful examples implemented in MATLAB.

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