Software Engineering / SRE

This three-day 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, modelling, and programming are explored throughout the course.

After an introduction revisiting the key concepts of MBSE, this two-day course provides an introduction to architecture frameworks (AFs) and enabling patterns, giving delegates a model-based toolkit, the Framework for Architecture Frameworks (FAF), which can be used to aid in the definition of an AF or pattern. I

Learn about ‘A model-based approach to Systems Engineering, an approach to systems engineering which uses models to deal with complexity and improve communication with stakeholders. Discover how adopting a model-based approach can improve your systems engineering. A complete overview of MBSE and how it can be used in your business.

Python is an object oriented rapid development language deployed in many scenarios in the modern world. This Python Programming 1 course is designed to give delegates the knowledge to develop and maintain Python scripts using the current version (V3) of Python.

This course is an introduction to Python and its main data analysis libraries, Pandas and Matplotlib for delegates with some understanding of programming concepts. It is a two-part course, the first is an introduction to Python programming, the second introduces Python's data analysis tools. For the programming environment we use JupyterLab on the Anaconda platform. Anaconda is one of the most, if not the most, popular Data Science platforms.