Course Synopsis:

The course advances students on concepts of systems analysis, modeling and computer simulation of agricultural and biological systems.  Primary focus is on developing knowledge and skills to construct static as well as dynamic models, perform sensitivity analysis, parameter estimation and model evaluation. Review and analysis of models in agricultural and biological systems emphasizing crops, animals, and environment are also covered. Laboratory work using MATLAB and LabVIEW enhances student’s ability in simulating biological systems. A group project culminates the course.

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Course Outcomes:

Ability to formulate mathematical models governing biological and physical behaviors of biosystems.
Ability to construct computer programming to simulate biosystems behaviors and responses.
Ability to analyze and formulate gas absorption and distillation equipments and operations.
Ability to prepare a simulation report working in a team.

References:

James W. Haefner (2012), Modelling Biological Systems: Principles and applications, UK: Springer. 
Robert H Bishop (2014), Learning with LabVIEW, New York, Pearson.
William J. Palm III (2011), Introduction to MATLAB for Engineers (3rd Edition), University of Rhode Island, McGraw-Hill.
Mark M Meerschaert (2013). Mathematical Modelling, New York: Academic Press.
J.H.M. Thornley and J. France (2007), Mathematical Models in Agriculture: Quantitative methods for plants, animals and ecological science. 2nd Ed., Cambridge, CABI.