School for Engineering
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
