Numerical methods - BMEEOFTMK51
- Intsall Matlab to your computer using a BME email address or use online Matlab (see below) (you will need the Symbolic Math, Optimization, Global optimization, Mapping, Image Processing, Curve Fitting, Statistics and Machine Learning Toolboxes)
- Please create a MathWorks Account and solve the Matlab Onramp online tasks! (see below at Practice exercises)
- Check the Detailed course schedule
- Read and solve tasks from the subject's web page if you missed some classes or check the folder of your lecturer for more actual material.
- If you missed a lesson watch the videos below (Recorded lectures from 2020/21.)
Lecture notes, videos
Lecture notes - 2022
Lecture videos - 2020/2021
- Todd Young, Martin J. Mohlenkamp (2017): Introduction to Numerical Methods and Matlab Programming for Engineers, Department of Mathematics, Ohio University (Creative
Commons Attribution-NonCommercial-ShareAlike4.0 International License)
- Amos Gilat, Vish Subramaniam (2011): Numerical methods, An introduction with applications using MATLAB, John Wiley & Sons, Inc.
- Todd Young, Martin J. Mohlenkamp (2017): Introduction to Numerical Methods and Matlab Programming for Engineers, Department of Mathematics, Ohio University (Creative Commons Attribution-NonCommercial-ShareAlike4.0 International License)
Practice exercises, homework
To ensure the continuous progress from numerical methods subject 30% of the subject points can be obtained by solving small, Matlab practice exercises at home. These exercises are short tasks related to a specific topic. 3-3 points can be achieved by solving the tasks and they are available for at least 1 week after the related topic. Each task can be solved twice, the last result counts. The first task is a bit longer, this is the Matlab Onramp solution for practicing the basics of Matlab. It takes a total of 2 hours, for which 4 weeks are available from the beginning of the semester.