Section 1: W: 05:00 pm-07:50 pm (Instructor: Dr. Vinod Kumar)
Section 2: F: 02:00 pm-04:50 pm (Instructor: Dr. Chongwei Xiao)
Lab: 02:00 pm-04:50 pm (M: ENGC 218, T: INDT 109 , R: INDT 108)
Textbook: Applied Numerical Methods with Python for Engineers and Scientists, 1st Edition, By Steven Chapra and David Clough, ISBN10: 1266651497, ISBN13: 9781266651496
Web: https://bit.ly/MEEN1320
The primary goal is to provide engineering majors with a basic knowledge of numerical methods including: root-finding, elementary numerical linear algebra, solving systems of linear equations, curve fitting, and numerical solution to ordinary differential equations, and numerical integration. An advanced programming tool (e.g. MATLAB or Python) will be used for implementation and application of these numerical methods. The numerical techniques learned in this course enable students to work with mathematical models of technology and systems.
By the end of this course, the students should be able to do the following:
Structured programming: Understand basic structured programming concepts involving decision making, loops, functions, and parameter passing implemented within the MATLAB/Python programming environment.
Numerical methods: Understand the most common numerical methods used in engineering analysis, when to use each method, and how to implement basic methods in a structured manner using the programming language.
Numerical accuracy: Estimate the amount of error inherent in different numerical methods.
Numerical efficiency: Assess the efficiency of a selected numerical method when more than one option is available to solve a certain class of problem.