Following mentioned an extraction from an email from MATLAB representative subjected on “Complimentary MATLAB Training for KTH”. This is a grand opportunity for KTH student who wish to work with MATLAB.
My name is XXXXX. I work with MathWorks and I look after KTH.
I would like to inform you that as part of the KTH MATLAB site license, you have access to MATLAB online training at no extra cost. You can learn MATLAB interactively, at you own pace, at the time of your choice. These courses are available to all students and employees at KTH.
Simply register via: MATLAB Academic Online Training
The following courses are available:
“This course provides a comprehensive introduction to the MATLAB® technical computing environment. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course.”
MATLAB Programming Techniques
“This course provides hands-on experience using the features in the MATLAB® language to write efficient, robust, and well-organized code. These concepts form the foundation for writing full applications, developing algorithms, and extending built-in MATLAB capabilities. Details of performance optimization, as well as tools for writing, debugging, and profiling code are covered.”
Machine Learning with MATLAB
“This course shows how to use unsupervised learning techniques to discover features in large data sets and supervised learning techniques to build predictive models.”
MATLAB for Data Processing and Visualization
“This course focuses on the details of data management and visualization techniques, from reading arbitrarily formatted text data files to producing customized publication-quality graphics. The course emphasizes how to create scripts that extend the basic features provided by MATLAB®.”
MATLAB for Financial Applications
“This course provides a comprehensive introduction to the MATLAB® technical computing environment for financial professionals. The course is intended for beginning users and those looking for a review. Themes of data analysis, visualization, modeling, and programming are explored throughout the course, with an emphasis on practical application to finance, such as time-series analysis, Monte Carlo simulation, portfolio management, and analysis.”