EV4009 Computing Techniques in Environmental Engineering Syllabus:
EV4009 Computing Techniques in Environmental Engineering Syllabus – Anna University PG Syllabus Regulation 2021
OBJECTIVES:
To educate the students to know about the computing techniques used in environmental engineering, and explain the artificial intelligence like ANN, Fuzzy logic and genetic algorithm applications in environmental engineering.
UNIT I SOFT COMPUTING PRINCIPLES
Introduction to computing techniques – algorithms and flowcharts, numerical methods – solution to ordinary and partial differential equation using finite difference, finite element and finite volume methods, numerical integration and differentiation.
UNIT II ARTIFICIAL INTELLIGENCE
Knowledge based expert system concepts – principle of Artificial Neural Network (ANN) – perceptron learning rule, neural network structure – neural network operations – ANN Algorithm – Application of ANN Model to environmental field – genetic algorithms
UNIT III FUZZY LOGIC
Fuzzy logic principles – fuzzy logic and the theory of uncertainty – fuzzy set theory- fuzzy membership function, fuzzy relations, fuzzy rule, and applications of the fuzzy set theory to inference and control, clustering, and image processing.
UNIT IV DIGITAL DATA MANAGEMENT
Data base structure – data acquisition – data warehouse – DBMS – RDBMS – data analysis – network data sharing – Statistical Analysis (SYSTAT) – regression – factor analysis – histogram – scatter diagram – goodness of fit – big data analysis.
UNIT V ENVIRONMENTAL MODELING SOFTWARE
Introduction to MATLAB Software – MATLAB applications in environmental – pollutants transport, decay and degradation modeling using MIKE 21 – MODFLOW – case studies.
OUTCOMES:
On completion of the course, the students are able to
CO1 Understand the various computing techniques available for environmental engineering.
CO2 Apply the principles of ANN and GA for solving environmental problems
CO3 Apply the principles of Fuzzy logic and for solving environmental problems.
CO4 Work in the statistical analysis software SYSTAT.
CO5 Employ modern advanced computing tool MATLAB software in environmental studies
REFERENCES:
1. Aliev R. A, and Aliev Rashad, “Soft Computing and its Applications”, World Scientific Publications Co. Pte. Ltd. Singapore, 2017.
2. Chepra S. C. and Canele R. P., “Numerical Methods for Engineers”, McGraw-Hill, a business unit of The McGraw-Hill Companies, Inc., 1221 Avenue of the Americas, New York, NY 10020. 6th Edition 2018.
3. Data-Driven Modeling: Using MATLAB in Water Resources and Environmental Engineering, Springer; 2014 edition.
4. Mathews J. H. and Fink K.D. “Numerical methods using MATLAB”, Pearson Education 2018.