27 Jan 2014
Framework Training Ltd
Business Environment Group
Call us to discuss cost-effective options for training your team.
Price per person
MATLAB (matrix laboratory) is a very powerful fourth-generation programming language, used in many areas of scientific, technological, mathematical, and financial research and code development.
MATLAB combines the ability to perform complex manipulations of mathematical matrices, plotting data and functions, handling algorithms, UI development, and interfacing with programs written in languages such as C, C++ and Java.
Our MATLAB training course aims to give developers solid theoretical understanding, and hands-on experience with the MATLAB language, delivered by an expert mathematical software development specialist.
Please note delegates on public courses need to bring their own licensed MATLAB software pre-installed on a laptop. If you’re happy to get stuck in to command-line programming, you may wish to opt to use GNU Octave as a free alternative, as the code is largely compatible / portable.
If you would like to discuss custom / on-site MATLAB training for any size of team, please get in touch – we would be glad to help build a course that meets your learning requirements.
We can take into account your existing technical skills, project requirements and timeframes, and specific topics of interest to tailor the most relevant and focussed course for you.
This can be particularly useful if you need to learn just the new features and Best Practices with MATLAB, or need to include extra topics to help with pre-requisite skills.
What you will learn
- Building a matrix
- Equation Solving with MATLAB
- Utility Commands
- Using Operators
- Control Flow
- Performance Tuning
Who should attend
MATLAB Programming Training Course Syllabus
Introduction to MATLAB
Addressing and assigning elements
Building special matrices
User defined functions
Relational operators and logical operators
Control flow (for loops, while loops, if-else-end, switch-case-otherwise-end)
Precision issues and additional data types (strings, cell arrays, structures)
Matlab performance tuning
User defined functions 2