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Midge by Numbers – Recognising Patterns in Numerical Data

In this lesson, students will train an AI model to recognise patterns in numerical data.

Delivery over multiple periods of learning may be advisable depending on prior learning.

This lesson is designed for Computing Science students, S4 to S6 to support learning and teaching of AI concepts and practical skills for learners undertaking SQA Artificial Intelligence Unit(s) (Level 4 – J8E0 44, Level 5 – J8E0 45, Level 6 – J8E0 46).

This lesson is the second of a three-part series of computing lessons developed by Matthew Mackie. The other lessons are: 1 – AI Midge Project; and 3 – Midge Season The Game.

Lesson 2 Guide – Midge by Numbers
Midge by Numbers – slides
Midge Project – Recognising Patterns Template (pdf)
Midge Project – Recognising Patterns Template (MS Word)
Recognising Numbers Tutorial (pdf)
Recognising Numbers Tutorial (MS Word)
biting midge data (excel)
non-biting midge data (excel)

Curriculum Level:
Early (Pre 5 & P1)First (P2-P4)Second (P5-P7)Third (S1-S3)Senior Phase (S4-S6)For teachers
Curriculum Area:
AI LiteracyChild Rights and EthicsCritical ThinkingCross-curricularExpressive ArtsHealth and WellbeingLanguagesMathematicsReligious and moral educationResponsible Use to Support LearningSciencesSocial StudiesTechnologies
Topics and Themes
Activity, Diet, Rest and SleepBiodiversity and InterdependenceBlended or Home LearningComputer ScienceData AnalysisData visualisationDevices & SoftwareDigital LiteracyFinding & Using InformationHow-TosPast Events and SocietiesPeople in society, economy and businessProcessing and Managing Information Responsibly