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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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Compression Worksheets
3 resources match. Newest first. Opening a resource shows the whole thing, with answers and marking held back.
H446 1.3.1 · Compression, encryption and hashing
Includes OCR H446 1.3.1 Compression need, lossy and lossless choice
H446 1.3.1 asks not which method makes the smaller file but what a use case needs once the data is reconstructed. This worksheet builds that reconstruction test and applies it to lossy and lossless choices across contexts where the right answer changes. Students will: - explain why storage, bandwidth and transfer time make compression worthwhile - describe what happens to data across its original, compressed and reconstructed states - identify a use that clearly requires exact reconstruction - compare lossy and lossless compression using the same criterion on both sides - recommend a method for a medical scan, speech over a slow link and a configuration file, with reasons Inside: 5 explanation cells, 1 multiple-choice question, 2 fill-in-the-blanks cells and 2 written answers. 29 marks, about 35 to 45 minutes. Series: H446 1.3.1 · Compression, encryption and hashing, part 1 of 7.
Worksheet1CP2-P-9.5 Lossless and lossy compression
Part 5 · 1CP2-P-9 · Bitmap, sound and compression
Compression reduces the number of bits used to store or transmit data. Lossless compression allows the original to be reconstructed exactly. Lossy compression permanently removes or approximates information to achieve a smaller representation. Students will: - distinguish lossless from lossy compression - use exact reconstruction as a selection criterion - explain why compression can reduce transfer time - recommend an approach for a stated context Inside: 7 explanation cells, 1 fill-in-the-blanks cell, 2 multiple-choice questions and 3 written answers. 12 marks, about 45 minutes. Series: 1CP2-P-9 · Bitmap, sound and compression, part 5 of 6.
WorksheetJ277 1.2.5 Compression
Part 4 · J277 1.2.4-1.2.5 · Data representation
Lossy and lossless compression, taught as a decision about the file and the user rather than a pair of definitions. Students will: - explain why compression may be needed - distinguish lossy from lossless compression - explain the effect of each on a file - recommend an appropriate type for a scenario - justify the recommendation from the file and the user Inside: 6 explanation cells, 4 multiple-choice questions, 1 fill-in-the-blanks cell and 4 written answers. 33 marks, about 60 minutes. Series: J277 1.2.4-1.2.5 · Data representation, part 4 of 5.