- Edexcel GCSE Computer Science 1CP2 (from 2020)
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- Teacher Pack: Topic 2 Data 1CP2 (from 2020)

## Teacher Pack: Topic 2 Data 1CP2 (from 2020)

**SKU:**

The resources within this **Teacher Pack** cover all aspects of the specification in relation to Edexcel GCSE Computer Science 1CP2 (from 2020) topic 2.

It includes a:

· Teaching PowerPoint (includes checkpoint questions and answers)

· Student PowerPoint (Includes checkpoint questions, but omits the answers)

· Homework/Classwork Activities (+ mark schemes)

o Data Capacity

o Conversions

o Compression

· End of unit test (+ mark scheme)

**Content Covered:**

· understand that computers use binary to represent data (numbers, text, sound, graphics) and program instructions and be able to determine the maximum number of states that can be represented by a binary pattern of a given length

· understand how computers represent and manipulate unsigned integers and two’s complement signed integers

· be able to convert between denary and 8-bit binary numbers (0 – 255, -127 – 128)

· be able to add together two positive binary patterns and apply logical and arithmetic binary shifts

· understand the concept of overflow in relation to the number of bits available to store a value

· understand why hexadecimal notation is used and be able to convert between hexadecimal and binary

· understand how computers encode characters using 7-bit ASCII

· understand how bitmap images are represented in binary (pixels, resolution, colour depth)

· understand how analogue sound is represented in binary (amplitude, sample rate, bit depth, sample interval)

· understand the limitations of binary representation of data (sampling frequency, resolution) when constrained by the number of available bits

· understand that data storage is measured in binary multiples (bit, nibble, byte, kibibyte, mebibyte, gibibyte, tebibyte) and be able to construct expressions to calculate file sizes and data capacity requirements

· understand the need for data compression and methods of compressing data (lossless, lossy)