CE597 Computational Methods in Civil Engineering

Description:

The objective of the course is to introduce students to numerical methods for solving problems in civil engineering (both for modeling and experimental work). The course provides students with the necessary background to enable them to use basic computational tools and gain a fundamental understanding of numerical methods. It also introduces them to basic computer programming and inculcates a systematic logical thought process towards problem solving. This course is aimed to graduate students.

Course Main Topics:

Tutorial on programming
Introduction to scientific computing
Systems of linear equations
Solution to non-linear equations
Interpolation and polynomial approximation
Optimization
Numerical differentiation
Numerical integration
Partial differential equations
Ordinary differential equations
Other topics

Projects:

Project 1: System of Linear Equations [PDF]

Video explaining the project and notes [click here]

Project 2: System of Non-Linear Equations [PDF]
Project 3: Shooting Method with 4th order Runge-Kutta. The tennis ball problem [PDF]

Books: No book is required. I will personally follow ideas from the following books and resources:

Scientific Computing. An Introductory Survey, Michael T. Heath, McGraw Hill, 2nd edition
Numerical Methods for Engineers, Steven C. Chapra, Raymond, P. Canale, 7th Edition, McGraw Hill, 2015.
Matlab programming for Engineers, Stephen J. Chapman, 5th Edition, Cengage Learning, 2015.

Other Resources: The following is a list of useful links

interstate (recommended server): As a CE student you have access to interstate.ecn.purdue.edu
ECN Link: Using Linux Computer Resources:
https://engineering.purdue.edu/ECN/Support/KB/Docs/UsingLinuxComputeReso

Download SecureCRT for your PC: https://purdue.edu/securepurdue/download/
Tutorial on Unix/Linux: http://www.ee.surrey.ac.uk/Teaching/Unix/
Video Tutorials: [Video 1] [Video 2] [Video 3]

Notepad++ : https://notepad-plus-plus.org/
C Programming Tutorial: http://www.cprogramming.com/
Another Quick Linux Reference: LinuxCommands.pdf
How to map a drive in windows: For interstate the folder address is \\interstate.ecn.purdue.edu\yourusername.
https://engineering.purdue.edu/ECN/Support/KB/Docs/MappingECNDriveWin7
In order to map the server interstate from your own PC (if you are off-campus) you need to connect to Purdue's VPN network first. Here you have the instructions [Download PDF]

Tutorials for C and Fortran:

Linux, C as a programming language [PDF]
More C programming [PDF]

Examples in C [Click to download files]

Fortran [PDF]

Examples in Fortran [Click to download files]

ECN servers:

interstate (recommended server): As a CE student you have access to interstate.ecn.purdue.edu

>> 11/16/2022 Project 3 has been posted.

>>10/04/2022 Project 1 has been posted. THere is also a video and notes in the Lectures web site [click here]

>> 09/22/2022: The lectures for Tuesday Sept. 27 and Thursday Sept. 29th are now posted in this web site [link]

>> 09/14/2022: My office hours for this semester will be on Wednesday at 12:00pm, or by appointment or whenever my office door is open.

>> 09/14/2022: The deadline for Homework 1 is Sept. 27th.

>> 09/12/2022: Homework 1 and Matlab notes have been posted.

>> 08/17/2022: Welcome to CE597 Numerical Methods in Civil Engineering. More notes and announcements will be posted in this column.

Tuesdays and Thursdays 9:00am - 10:15am HAMP 1113		CE597: Numerical Methods in Civil Engineering (Fall 2022) Instructors: Pablo Zavattieri, (email: zavattie@purdue.edu, HAMP G217) Zavattieri's Office hours: I will hold office hours on Wednesdays 12:00-1:00pm or whenever my office door is open. You can also contact me via email or setup an appointment (email me at zavattie@purdue.edu) Description: The objective of the course is to introduce students to numerical methods for solving problems in civil engineering (both for modeling and experimental work). The course provides students with the necessary background to enable them to use basic computational tools and gain a fundamental understanding of numerical methods. It also introduces them to basic computer programming and inculcates a systematic logical thought process towards problem solving. This course is aimed to graduate students. Syllabus [Download PDF]