School for Engineering

School for Engineering Wind Turbine

School for Engineering Tutorial Topics

Online Tutorials covering Data Science and Machine learning, Software and Electrical Engineering

Machine Learning, Data Science and Data Visualisation

Machine learning models on a range of data types: Natural Language Processing (NLP), Timeseries, Images, Graphs.
Image processing techniques

Programming and Databases

Tutorials on code: Python, SQL, Octave (Matlab), code formatting, setting and using virtual environments, integrated development environments (IDEs), using databases

Hardware and Software installations and settings

Advanced Installation guides for hardware: graphical processing units (GPUs), PC power supplies, computer memory, software: installing databases

Power Electronics

Converters (AC-DC, DC-DC, DC-AC), semi-conductor switches. Simulations: time domain (transient and steady state), frequency domain

Mathematics with Code

Mathematics required for Machine Learning and Electrical Engineering topics. Explains the mathematical concepts in words, equations and code, providing practical examples of their application

Electrical Systems and Signal Processing

Explaining fundamentals concepts of DC and AC electrical power with diagrams and illustrations in code. Signal processing concepts with practical illustrations and applications


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