Vidya' teaching objectives emphasize a holistic, multi-disciplinary/interdisciplinary approach to water resources engineering. Dr. Samadi teaches courses related to engineering hydrology, geospatial modeling and GIS, and stochastic modeling and uncertainty. Some of my courses are listed below.
Review of basic probabilistic concepts; Uncertain phenomena, total probability and Bayes' theorems; Random events and random variables; Probability distributions, expectation, variance, skewness, and kurtosis; Statistical inference, parameter estimation and confidence intervals; Classical hypothesis testing for making statistical decisions;Stationary and nonstationary processes; and linear regression and model selection, etc.1 unit Lecture and 2 units lab.
Deterministic and Stochastic Processes in Hydrology; Probability Axioms; Moments and Expectations of Distributions; Introduction to Frequency Analysis, Frequency Analysis and Probability; Simple Linear Regression and Multi-variate Linear Regression, Evaluation of Regression; Hypothesis Testing to Compare Methods of Parameter Estimation for Frequency Distributions in Hydrology-Application to Infrastructure Design; Apply Multivariate Analysis in Hydrologic Systems; Principles of Time Series Modeling; Autoregressive Models (AR); Bayesian Uncertainty Estimation in Hydrological Modelling; Artificial Intelligence Techniques such as Neural Networks, Fuzzy Logic; Surrogate Models and Data Mining that form the "brains" of Smart Applications; IoT Applications in Water Resources. 2 units Lecture and 1 unit lab.
Spatial analysis in hydrology and hydraulics;Web-based mapping and information; Create a base map of a study region including watersheds, streams,and aquifers by selecting features from regional maps; Mathematical calculation on hydrologic/hydraulic geospatial maps using map algebra on raster grids; LIDAR data analysis and digital elevation model of land surface terrain to derive watersheds and stream networks; HEC-GeoHMS hydrologic modeling; Assimilation of ground-based and NASA satellite data into forecasting system;Hydraulic modeling using HEC-GeoRAS and velocity mapping in rivers and floodplains, etc.1 unit Lecture and 2 units lab.
Application of GIS and RS in hydrology; creating SCS Curve Number grid; Watershed and stream network delineation; Single-event and continues hydrologic simulation;Geospatial information for real-time operational hydrology; Flood control strategies and water resources management.
GIS and engineering applications (utility system maintenance, hydrologic and hydraulics modeling, water supply, stormwater quality monitoring/control, solid waste management and hazardous waste management); GIS analysis functions and operations (feature proximity, map algebra, spatial joins, etc.); ArcGIS Spatial Analyst Extension; Data Collection and Processing (Web services); ArcGIS Network Analyst Extension, network modeling and analysis, finding best routes, closest facility, service areas, dynamic segmentation and routing – applications to transportation engineering; ArcHydro Tools Extension; RS data manipulation and analysis; Application of RS and GIS for point and non - point pollution, etc.1 unit Lecture and 2 units lab.