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Computer science Worksheets and Python Workspaces shared by Coding Pathway teachers. Worksheets cover exam board theory as well as programming. Read any of them in full here. Teachers can copy one into their own lessons and edit it before setting it to a class.
Planning a whole course or unit? Our mapped pages put the teaching sequence in order with the Worksheets that cover it: OCR GCSE Computer Science (J277), Pearson Edexcel GCSE Computer Science (1CP2), OCR A Level Computer Science (H446), Python Turtle for Key Stage 3.
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Data analysis
2 resources match. Newest first. Opening a resource shows the whole thing, with answers and marking held back.
H446 2.2.2 · Computational methods
Includes OCR H446 2.2.2 Data mining: patterns from large data sets
Storing a great deal of data is not data mining, and H446 2.2.2 rewards students who can hold that line. A network of community venues supplies the booking records, and every finding here has to travel a chain from evidence to meaning to a decision the service could actually test. Students will: - distinguish collecting or storing large data sets from interrogating them to discover patterns - build a chain from a finding to a proposed decision and an outcome measure - state a relationship without claiming that one thing caused the other - identify limitations arising from missing, biased or inconsistent records - qualify a conclusion drawn from an unfamiliar data set and its context Inside: 7 explanation cells, 1 multiple-choice question, 2 fill-in-the-blanks cells and 2 written answers. 20 marks, about 20 to 30 minutes. Series: H446 2.2.2 · Computational methods, part 6 of 14.
WorksheetOCR H446 1.3.2 Capturing, selecting, managing and exchanging data
Part 6 · H446 1.3.2 · Databases
Beyond design, H446 1.3.2 asks how data gets into a database and how it is then selected, managed and exchanged. This worksheet follows that journey so students choose a capture or exchange method from the shape of the data and its destination, not from a memorised list. Students will: - distinguish capture, selection, management and exchange as separate stages - match a capture method to the form and volume of the source data - recommend a method for each stage of a described data journey - compare exchange formats for flat data and for data with nested lists - identify a risk or limitation at each stage and give a mitigation Inside: 7 explanation cells, 2 multiple-choice questions, 2 fill-in-the-blanks cells and 3 written answers. 35 marks, about 30 to 45 minutes. Series: H446 1.3.2 · Databases, part 6 of 13.