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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 Language​s 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.

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