Unit at a glance
3 lessons, 135 minutes of teaching
Scheme of work
The lessons in order
| Ref | Lesson pack | Structure | Worksheet | Quiz | Lab tab |
|---|---|---|---|---|---|
| 18.1 | Graphs in AI: Dijkstra's and A* algorithms A sat nav, a game character and a delivery robot all face the same problem: a map of places joined by routes, and a need to find the cheapest way through it. | Jigsaw | 6 Q, 23 marks | 6 MCQ | none |
| 18.1 | Machine learning: supervised, unsupervised and reinforcement Nobody can write down the rules for recognising a face or spotting a fraudulent payment, but a program can learn them from examples. | Corners | 6 Q, 20 marks | 6 MCQ | none |
| 18.1 | Neural networks, deep learning and back propagation An artificial neural network is a web of very simple units, each just multiplying, adding and passing on a number. | Frayer Model | 6 Q, 20 marks | 6 MCQ | none |
Each pack holds the plan, worksheet and quiz for its lesson. Teach the rows in order; the lab tabs match the student lessons.
Also for this topic