Teaching

CIVE 203: Engineering Systems and Decision Analysis

In dealing with real world problems, engineers are ought to make decisions about design, implementation, and operation of a system of interest. The decision making process requires an understanding of import system variables and processes, and the interactions between system components. In this context, uncertainties are unavoidable. The role of probability and statistics is quite pervasive in engineering; it ranges from the description of basic information to the development of models for design and decision making. This course covers basic statistical and probability concepts and methods that are useful for making decisions under uncertain conditions. The course materials are organized as follows:

  • Sampling and exploratory data analysis
  • Fundamentals of probability
  • Random variables: distributions, functions, and moments
  • Hypothesis testing and confidence intervals
  • Building empirical models

The laboratory exercises aim to enhance students’ capacity to implement statistical and probability methods. To this end, two powerful software packages, MATLAB and ArcGIS are used.

 

CIVE 576: GIS and GPS for Engineering Applications

The primary objectives of this class are:

  • Understanding the principles of geographic analysis
  • Understanding various techniques for data collection, organization, and visualization
  • Understanding methods for the analysis of spatial data and patterns

 

CIVE546: Water Resources Systems Analysis

The  goal  of  this  course  is  to  introduce  participants  to  general  concepts  of systems  analysis  and  systems  engineering  as  they  apply  to  the  planning,  design  and  operation of  water  resources  systems.  The course  builds  upon  the  general  concepts  of  systems  analysis, economic  evaluation,  and  project  planning.

Advances  in  computing  and  information  technology  are revolutionizing  how  we  manage  our water  resources. The  goal  of  this  course  is  to  introduce  participants  to  the linkage  of computing,  information  technology, and  practical  aspects  of  water  resources  management. The  course  will  describe  general  concepts  of  systems  analysis  and modeling,  within  a  Decision Support  System  framework,  as  these  models  apply  to  the  planning,  design  and  operation  of water  resources  systems. The  use  of  computer models  allows  the  water  resources  engineer  to efficiently  and  effectively  evaluate  many  alternatives  and  to  promote  improved  decision making. Students will apply simulation, optimization,  and  multi criteria  decision  analysis models  to  example  problems  in  water  resources.  The  course  will  also  discuss  how  emerging technologies such  as  evolutionary  optimization,  collaborative  community based  modeling approaches,  and  collaborative  sharing  of  information  might  be  used  to  improve  water resources management.

 

CIVE440: Nonpoint Source Pollution

This course familiarizes students with the nature and extent of NPS problems, the fundamental processes that govern the fate and transport of diffuse pollution, and the design of effective pollution abatement measures.

 

CIVE103: Engineering Graphics  and Computing

This course has the following objectives:

  • To develop an understanding and/or proficiency with topics and tools commonly used by Civil and Environmental engineers in daily problem solving endeavors to include: Excel, Visual Basic Programming, Data Analysis and Data Visualization, AutoCAD.
  • To develop an appreciation of professional topics to include: Engineering Practice and Engineering Ethics.
  • To complete a project involving the design, construction, and testing of a building frame under earthquake type loadings.

 

CIVE102: Introduction to Civil and Environmental Engineering

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