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Civil Engineering

Numerical Methods in Civil Engineering  
Description: This course covers engineering applications of approximation and interpolation, solution methods for ordinary differential equations, numerical solution of partial differential equations, nonparametric and parametric probability and regression estimation, and Monte Carlo and uncertainty analysis.
Course material created by Professor Gilberto Urroz, Ph. D.
Target audience: Advanced undergraduate (3rd or 4th year)
Institution: Utah State University
Materials available: Problem sets or projects, Course outline or syllabus, Downloadable code or data files
Products: MATLAB

Submitted: Jul 22, 2008
Numerical Methods for Civil and Mechanical Engineers  
Description: This course explores the fundamentals of numerical methods for civil and mechanical engineering students. Topics include: approximation and interpolation, numerical solutions to equations, numerical differentiation and integration, numerical solutions to differential equations, solutions of systems of equations, and finding eigenvalues. The topics will be posed in a setting of problems intended for civil and mechanical engineering students using MATLAB.
Course material created by Professor Martin J. Mohlenkamp.
Target audience: Advanced undergraduate (3rd or 4th year)
Institution: Ohio University
Materials available: Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
Products: MATLAB

Submitted: Jul 23, 2008
Computing and Data Analysis for Environmental Applications  
Description: This course is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. Basic probability concepts are introduced at the outset because they provide a systematic way to describe uncertainty. They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments and to analyze real-world data sets, many downloaded from the web. Programming applications include display and assessment of data sets, investigation of hypotheses, and identification of possible casual relationships between variables.
Course Material Created by Professor Dennis McLaughlin.
Target audience: Introductory undergraduate (1st or 2nd year)
Institution: Massachusetts Institute of Technology
Materials available: Problem sets or projects, Course outline or syllabus, Textbook recommendations, Downloadable code or data files
Products: MATLAB

Submitted: Jul 22, 2008
MASTAN2: Linear and Nonlinear Matrix Structural Analysis Software  
Description: In many ways, MASTAN2 is similar in functionality to today's commercially available structural analysis software. The number of pre- and post-processing options, however, have been limited in order to minimize the amount of time needed for a user to become proficient at its use. The program's linear and nonlinear analysis routines are based on the theoretical and numerical formulations presented in the text Matrix Structural Analysis, 2nd Edition, by McGuire, Gallagher, and Ziemian (John Wiley & Sons, Inc. 2000). In this regard, the reader is strongly encouraged to use this software as a tool for demonstration, reviewing examples, solving problems, and perhaps performing analysis and design studies. Where MASTAN2 has been written in modular format based on MATLAB, the reader is also provided the opportunity to develop and implement additional or alternative analysis routines directly within the program.
Preprocessing options within MASTAN2 include definition of structural geometry, support conditions, applied loads, and element properties. The analysis routines provide the user the opportunity to perform first- or second-order elastic or inelastic analyses of two- or three-dimensional frames and trusses subjected to static loads. Postprocessing capabilities include the interpretation of structural behavior through deformation and force diagrams, printed output, and facilities for plotting response curves.
Target audience: Advanced undergraduate (3rd or 4th year)
Academic institution: Over 100 universities, including Cornell, Stanford, Georgia Tech, Johns Hopkins, Marquette, University of Texas-Austin, and Worcester Polytechnic Institute
Materials available: Primers/tutorials, Downloadable code/data files
Products: MATLAB

Submitted: Jun 26, 2008
Advanced Structural Analysis  
Description: Topics covered in this course include: structural idealization, structural behavior, equations of mechanics (equilibrium, compatibility and constitutive relations), the stiffness approach to indeterminate analysis, solution of trusses and frames by the direct stiffness method, and nonlinear analysis of frames. The final objective is for the students to perform a thorough and deatailed structural analysis of a realistic structure which might be encountered in professional practice.
Course material created by Professor Sanjay Arwade.
Target audience: Graduate
Institution: The Johns Hopkins University
Materials available: Problem sets or projects, Course outline or syllabus, Downloadable code or data files
Products: MATLAB

Submitted: Jul 23, 2008
Water Resource Systems  
Description: This subject is concerned with quantitative methods for analyzing large-scale water resource problems. Topics covered include the design and management of facilities for river basin development, flood control, water supply, groundwater remediation, and other activities related to water resources. Simulation models and optimization methods are often used to support analyses of water resource problems. In this subject we will be constructing simulation models with the MATLAB® programming language and solving numerical optimization problems with the GAMS optimization package.
Course material created by Professor Dennis McLaughlin.
Target audience: Introductory undergraduate (1st or 2nd year)
Institution: Massachusetts Institute of Technology
Materials available: Problem sets or projects, Course outline or syllabus, Downloadable code or data files
Products: MATLAB

Submitted: Jul 22, 2008



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