DEEP method courses: Introduction to MATLAB
Join our online DEEP method course on MATLAB programming 16 - 19 November 2020. Valentina Magni and Ágnes Király from CEED, UiO, will teach you all you want and need to know about Matlab to get started, work efficiently and succeed with your programming. Register within 1 November!
This intense, online course for beginners aims at giving a basic knowledge of programming with MATLAB. The main goal is for the participants to become comfortable enough with MATLAB so that they will know its potential and they will be able to understand scripts, create their own, and continue learning and keep using it on their own.
Date and time
Monday 16 November to Thursday 19 November on Zoom.
9:00 – 12:00, lunch break, 13:00 – 16:30
Registration and participation
Register within 1 November 2020 by filling out our online form.
This course is an offer to all DEEP members and staff at the Department of Geosciences, UiO. We have 15 places in the course and DEEP members will have first priority.
The main lecturer Valentina Magni is a Researcher at CEED, UiO. She uses MATLAB for her research and she has many years of experience teaching introductory courses in MATLAB.
In addition, Ágnes Király, will be a teacher. Ágnes is also a Researcher at CEED, UiO, with many years of experience using MATLAB.
All participants schould have MATLAB installed on their computer before we start. If this is a problem, let us know as soon as possible.
The outline of the course is described below. Please note that the schedule can slightly change depending on the pace of the class.
Monday, 16 November – Introduction, Import data, and visualization
Introduction to MATLAB
- Creating vectors and matrices
- Operations with arrays
- Creating a script
- Import data (text files, excel files, images, variables,...)
- Plot 2D and 3D
Tuesday, 17 November – Programming with MATLAB
- Plot 2D and 3D
- Working with images
- Data interpolation
- For/while loops
- If statement
Wednesday, 18 November – Functions and data fit
- How to create and use new functions
- Saving data (variables, figures, text files, ...)
- Data fit
- Solving linear systems (inverse problems)
Thursday, 19 November - Applications to calculus and to students’ projects
- Finite differences
- Derivatives and integrals
- Applications to student’s research projects