Scientific Computing with Matlab (Math 365)
In this course, we will learn how to use Matlab to solve problems in science and engineering using computational methods. We learn basic numerical methods, including solving linear systems, interpolation, quadrature rules, and solving ordinary differential equations. We also learn about visualizing output using Matlab graphing tools, programming concepts, and how to develop numerically efficient codes. This course does not assume any prior programming knowledge, although if you don't have any programming experience, you will find this course to be challenging initially.
- Basic course information
- Recommended and suggested textbooks
- Homework assignments
- Matlab Tutorials
- Final Project
- Grading policy
Send me an e-mail
Please send me an e-mail at firstname.lastname@example.org so that I can compile an e-mail list for the class. At the very least, include a subject header that says "Math 365". You may leave the message area blank, if you wish, or send me a short note about what you hope to get out of this course.
Basic course information
|Instructor||Prof. Donna Calhoun|
|Place||MG136 (Math Computing Lab)|
|Office Hours||Thursday 1:15-2:45|
|Prerequesites||Math 333 or Math 301|
Recommended and suggested textbooks
- Numerical Computing with Matlab, by Cleve Moler. Mathworks, Inc., (2004) (required).
- Matlab software (free for BSU Students), by Mathworks, Inc.. (required).
- Matlab software (for purchase from Mathworks, Inc.), by Mathworks, Inc.. (required - but same as above).
- Learning Matlab, by Toby A. Driscoll. The Society for Industrial and Applied Mathematics, (2009) (suggested).
Below are the slides from lecture material that I can make available online.
|Week #1 (Aug. 21)||
Tuesday -- Introduction to Scientific Computing; Arithmetic expressions
Thursday -- Assigning Variables
|Week #2 (Aug. 28)||
Tues -- Graphing; working with arrays
Thursday -- Loops in Matlab
|Week #3 (Sep. 4)||
Tuesday -- 1d Arrays - continued
Thursday -- More on arrays
|Week #4 (Sep. 11)||
Tuesday -- Root finding - Bisection
Thursday -- No class!
|Week #5 (Sep. 18)||
Tuesday -- Root finding - Fixed point, Newton's method
Thursday -- Root-finding; Minimization
|Week #6 (Sep. 25)||
Tuesday -- Using fzero; Introduction to solving linear systems
|Week #7 (Oct. 2 )||
Tuesday -- Gaussian Elimination
Thursday -- Quiz #1 : Circuit problem
|Week #8 (Oct. 9)||
Tuesday -- Gaussian Elimination for sparse systems
|Week #9 (Oct. 16)||
Tuesday -- Timing Gaussian Elimination
Thursday -- Operation counts; logspace;
|Week #10 (Oct. 23)||
Tuesday -- Using graphics handles
Thursday -- Linear regression; curve fitting
|Week #11 (Oct. 30)||
Tuesday -- Lagrange Polynomial interpolation
Thursday -- Quiz #2
|Week #12 (Nov. 6)||
Tuesday -- Lagrange polynomials (cont.)
|Week #13 (Nov. 13)||
Tuesday -- Piecewise polynomial interpolation
|Week #14 (Nov. 27)||
Tuesday -- Quadrature Rules
Thursday -- Quadrature rules; Solving ODEs
|Week #15 (Dec. 4)||
Tuesday -- ODEs, continued.
|Week #16 (Dec. 12)|
Homework projects are officially due at 5PM on the dates listed below, but will be accepted until two days after, without a late penalty. So, if the homework is officially due on Friday at 5PM, you have until Sunday at 5PM to turn it in without penalty. A penalty of 10% will be incurred for every two days your homework is beyond the grace period deadline. You'll turn in your homeworks in your assigned Dropbox folders. Please read the Homework Tips before turning in your homework!
Due Sep. 1
Due Sept. 8
Due Sept. 29
Due Oct. 13
Due Nov. 28
Due Dec. 12
An online tutorial for this course, including all of the in-class labs can be found at the link below
Our final activity will be a quiz during the day of our final
Homework projects (including the final activity) will count for 80% of your final grade, quizzes will count towards 20% of your grade. All homeworks will be equally weighted.