Akademik Dersler - İçerik

categorize the application areas of modeling in Environmental Sciences and Engineering and define the fundamental concepts of modeling.
categorize models for different systems.
distinguish linear and nonlinear, steady and unsteady state and theoretical and empirical models.
define components of model equations.
define and explains the calibration and validation processes.
define well-mixed systems, distinguish the fundamental components of these systems and formulate and solve models dealing with these systems.
form mass balance equations and calculate the system response to various loadings.
formulate simple time-variable systems and solve them.
define well-mixed systems, distinguish the fundamental components of these systems and formulate and solve models dealing with these systems.
solve the one-dimensional pollutant transport equation under steady state conditions, calculates the system response to various loadings and comments on them.
calculate parameters for different system configurations.
allocate waste loads according to different criteria.
solve the Streeter-Phelps equation in its original form under aerobic and anaerobic conditions, discusses the effects of changes in parameters on system response.
recognize the Streeter-Phelps modifications.
recognize regression models and apply them to data.
categorize the relationships of environmental data among themselves.
utilize the Least Squares Method to fit curves to linear or transformed nonlinear.
comment on the obtained results and puts forward inconsistencies.
define fundamentals of uncertainty analysis and apply them to models.
formulate the necessary equations for perturbation and first order error analysis.
apply the formulations to various models.
recognize the Monte Carlo analysis.
recognize widely used models and various applications done using them.
describe the HSPF, QUAL2EU and climate models.