Syllabus

Class 1: Logistic growth model
Class 2: Autocatalysis
Class 3: Gaussian elimination and Gaussian Seidel methods
Class 4: Eigen value problem
Class 5: Semi quantitate approach
Class 6: Analysis of multi parameter variable data, ANOVA
Class 7: Optimizing process parameters
Class 8: Validation of the output
Class 9: Designing of reactors
Class 10: Modeling pollutant transport within the reactor

Modeling and Optimization of dependent variables in environmental
engineering

CO 1: To initiate students into research on well-defined or open ended problems
CO2: To promote understanding of identified problem domains based on numerical
modelling based approaches to develop understanding of specific contextual environmental
engineering and management processes
CO3: Identify dependent variables and analyze the process
CO4:Optimization and validation of the data
CO5: Develop a reactor for pollutant removal

E Balagurusamy, Numerical Methods, Tata McGraw Hill Publishing Company Limited , New Delhi, 1999, 1st Edition

Sawyer, C. N., McCarty, P. L., and Perkin, G.F., Chemistry for Environmental Engineering and Science, McGraw-Hill Inc. , 2003, 5th Edition

R.W. Hamming, Numerical methods for scientist and engineers, McGraw Hill, , 1973, 2nd <br />Edition.

J. H. Mathews and K.K. Fink, Numerical methods using MATLAB, Pearson Education , 2004, 4th Edition