Elements of AI

A long, self-paced course taking the form of textual and graphical content followed by exercises. Covers numerous AI concepts and applications. Free, but registration required.

Additional details

Year band(s)	5-6, 7-8, 9-10
Content type	Course or tutorial
Format	Web page
Core and overarching concepts	Computational thinking, Digital systems
Australian Curriculum Digital Technologies code(s)	AC9TDI6P02 Design algorithms involving multiple alternatives (branching) and iteration AC9TDI8P05 Design algorithms involving nested control structures and represent them using flowcharts and pseudocode AC9TDI8P06 Trace algorithms to predict output for a given input and to identify errors AC9TDI8P09 Implement, modify and debug programs involving control structures and functions in a general-purpose programming language AC9TDI10P10 Evaluate existing and student solutions against the design criteria, user stories, possible future impact and opportunities for enterprise
Technologies & Programming Languages	Artificial Intelligence
Keywords	Artificial, Intelligence, Artificial Intelligence, AI, Experiments, Machine learning, Drawing, Pattern recognition, Neural networks, Algorithm, Data, Natural Language Processing, weak AI, Deep learning
Organisation	University of Helsinki and Reaktor
Copyright	© University of Helsinki and Reaktor. May be subject to statutory licence fee.