This resource includes 7 Christmas themed, stand alone activities for students learning how to program using Python. The activities go from basic activities to more complex tasks. Some of the skills and knowledge tested includes using input, FOR and WHILE loops, string manipulation, lists, exporting to an external file and importing from an external file.

This activity pack contains five Christmas themed coding activities which can be used by students in KS2 and KS3. Students learn about sequence, selection and iteration, as well as how to use variables and arrays. All instructions on how to develop the code using Scratch 3.0 have been included, as well as several challenges for each activity. The pack is 35 pages and will take around 3 hours to complete all activities and challenges. Activity 1 - Decorating the living room ready for Christmas - Make the Christmas decorations sparkle! Activity 2 - Dancing Santa - Get Santa to dance - simple dances to choreographed dances. Activity 3 - Christmas Gift Game - Christmas presents float around the screen and if you can click on a present you get to see what’s inside! Activity 4 - Catch the Reindeer Game - In this game Santa has lost his reindeer (including Rudolph) and he has to catch them. At the same time he must avoid the dog pretending to be a reindeer. Activity 5 - Naughty or Nice - In this activity Santa must check the Nice list before he gives a present. The Python Programming Christmas Activities is designed for KS4.

This pack consists of 37 editable homework/classwork activities that can be used to support your delivery of the Computer Science GCSE course. In addition, the homework bundle also contains a suggested mark scheme for each activity. Unit 1.1 · Components of a CPU · CPU Performance · Embedded Systems Unit 1.2 · ROM & RAM · Flash Memory & Virtual Memory · Data Capacity · Storage Comparison · Data Storage · Compression Unit 1.3 · LANS & WANS · Wired & Wireless Networks · Star & Mesh Topology · Network Protocols · The Concept of Layers Unit 1.4 · Malware · Network Threats · Network Vulnerabilities Unit 1.5 · Operating Systems · Utility Software Unit 1.6 · The Impacts of Technology · The Digital Divide · Legislation + Proprietary and Open Source Software Unit 2.1 · Decomposition & Abstraction · Flowcharts & Programs · Sorting Data · Sorting & Searching Programs Unit 2.2 · Selection · Iteration · Arrays (Lists) · Functions Unit 2.3 · Authentication · Maintainability · Testing Unit 2.4 · Boolean Logic & Truth Tables · Logic Gates Unit 2.5 · Programming Languages · IDEs

This pack includes four practice exam papers with mark schemes for OCR GCSE Computer Science (9–1) specification (first teaching September 2020, examinations from 2022). These papers provide students with an opportunity to familiarise themselves with the look and feel of an OCR paper. The digital pack includes: · two practice papers for Computer Systems (Paper 1) · two practice papers for Computational thinking, algorithms and programming (Paper 2) The papers combined cover all aspects of the computer science curriculum. You will also receive a comprehensive mark scheme for each paper.

This pack consists of 13 end of topic tests that can be used to support your delivery of the course. In addition, the topic test bundle also contains a mark scheme for each test. Unit 3.1 – 1 Test Unit 3.2 – 2 Tests Unit 3.3 – 1 Test Unit 3.4 – 4 Tests Unit 3.5 - 2 Test Unit 3.6 – 1 Test Unit 3.7 – 1 Test Unit 3.8 – 1 Test

This pack includes four practice exam papers with mark schemes for Edexcel GCSE Computer Science (9–1) specification (first teaching September 2020, examinations from 2022). The papers have been written to replicate the style of Edexcel examinations. These papers provide students with an opportunity to familiarise themselves with the look and feel of an Edexcel paper. Python is the programming language used. The digital pack includes: · two practice papers for Principles of Computer Science (Paper 1) · two practice papers for Application of Computational Thinking (Paper 2) – Included with these papers are Python files for access by students during the exam and a complete set of Python file solutions. The papers combined cover all aspects of the computer science curriculum. You will also receive a comprehensive mark scheme for each paper.

This unit provides detailed teaching resources to teach students about computational thinking and includes at least 6 hours of lessons.Students develop simple algorithms and learn about key terminology such decomposition, abstraction and pattern recognition. This unit includes a: PowerPoint presentation (43 Slides) PDF teaching file Unit Test (including mark scheme) These resources can be used by a computing teacher or a non-specialist teacher to teach about computational thinking. This unit can be taught in a classroom with no computers. What will students learn in Unit 1? ALL STUDENTS • I understand the terms algorithm, decompose, abstraction and pattern recognition. • I can produce a simple algorithm that solves a problem. MOST STUDENTS • I can produce an algorithm that solves a problem. • I can apply the terms algorithm, decompose, abstraction and pattern recognition. SOME STUDENTS • I can compare two algorithms that perform the same task and understand why one algorithm is more efficient than another algorithm.

These adaptable PowerPoint Presentations (86 Slides) cover all aspects of the specification in relation to OCR GCSE Computer Science J277 (from 2020) component 2.1. It includes: Teaching PowerPoints (includes checkpoint questions and answers) Student PowerPoints (Includes checkpoint questions, but omits the answers) Content Covered: Principles of computational thinking: Abstraction Decomposition Algorithmic thinking Identify the inputs, processes, and outputs for a problem Structure diagrams Create, interpret, correct, complete, and refine algorithms using: Pseudocode Flowcharts Reference language/high-level programming language Identify common errors Trace tables Standard searching algorithms: Binary search Linear search Standard sorting algorithms: Bubble sort Merge sort Insertion sort

This pack includes four practice exam papers with mark schemes for AQA GCSE Computer Science (9–1) specification (first teaching September 2020, examinations from 2022). The papers have been written to replicate the style of AQA examinations. These papers provide students with an opportunity to familiarise themselves with the look and feel of an AQA paper. The digital pack includes: · two practice papers for Computational Thinking and Programming Skills (Paper 1) · two practice papers for Computing Concepts (Paper 2) The papers combined cover all aspects of the computer science curriculum. You will also receive a comprehensive mark scheme for each paper.

This pack consists of 30 editable homework/classwork activities that can be used to support your delivery of the course. In addition, the homework pack also contains a suggested mark scheme for each activity. Topic 1 & 6 · Decomposition and Abstraction · Flowcharts and Programs · Sorting Data · Sorting and Searching Programs · Selection · Arrays (Lists) · Functions · Improving Programs · Testing Topic 2 · Data Capacity · Conversions · Compression Topic 3 · Components of a CPU · CPU Performance · Embedded Systems · Storage Comparison · Operating Systems · Utility Software · Authentication · Programming Languages Topic 4 · LANS and WANS · Wired and Wireless Networks · Star and Mesh Networks · Network Protocols · The Concept of Layers Topic 5 · The Impact of Technology · The Environment · Social & Work Issues · Network Vulnerabilities

This unit provides at least 6 hours of KS3 lessons on the use computer hardware components in a computer system. At the end of the units students are provided with an assessment to assess their progress. This unit includes a: PowerPoint presentation (56 Slides) PDF teaching file Unit Test (including mark scheme) These resources can be used by a computing teacher or a non-specialist teacher to teach “What is a Computer?”. This unit can be taught in a classroom with no computers. What will students learn? ALL STUDENTS • I can identify the main hardware components (CPU, RAM, Motherboard, HDD, SSD, PSU and GPU) and software components (operating system, application software) that make up a computer system. • I understand that devices such as smart phones and tablets are computer systems MOST STUDENTS • I can explain the role the main hardware components (CPU, RAM, Motherboard, HDD, PSU and GPU) and software components (operating system, application software) that make up a computer system. • I understand the role of input, output and storage devices. SOME STUDENTS • I can select the components of a computer system to ensure that they meet the needs of a user.

These adaptable PowerPoint Presentations (50 Slides) cover all aspects of the specification in relation to OCR GCSE Computer Science J277 (from 2020) component 2.3. It includes: Teaching PowerPoint Presentations (includes checkpoint questions and answers) Student PowerPoint Presentations (Includes checkpoint questions, but omits the answers) Content Covered: Defensive design considerations: Anticipating misuse Authentication Input validation Maintainability: Use of sub programs Naming conventions Indentation Commenting The purpose of testing Types of testing: Iterative Final/terminal Identify syntax and logic errors Selecting and using suitable test data: Normal Boundary Invalid Erroneous Refining algorithms

These adaptable PowerPoint Presentations (43 Slides) cover all aspects of the specification in relation to OCR GCSE Computer Science J277 (from 2020) component 1.6. It includes: Teaching PowerPoints(includes checkpoint questions and answers) Student PowerPoints (Includes checkpoint questions, but omits the answers) Content Covered: Impacts of digital technology on wider society including: Ethical issues Legal issues Cultural issues Environmental issues Privacy issues Legislation relevant to Computer Science: The Data Protection Act 2018 Computer Misuse Act 1990 Copyright Designs and Patents Act 1988 Software licences (i.e. open source and proprietary)

These adaptable PowerPoint Presentations (31 Slides) cover all aspects of the specification in relation to OCR GCSE Computer Science J277 (from 2020) component 2.5. It includes: Teaching PowerPoint Presenations (includes checkpoint questions and answers) Student PowerPoint Presentations (Includes checkpoint questions, but omits the answers) Content Covered: Characteristics and purpose of different levels of programming language: High-level languages Low-level languages The purpose of translators The characteristics of a compiler and an interpreter Common tools and facilities available in an Integrated Development Environment (IDE): Editors Error diagnostics Run-time environment Translators

These adaptable PowerPoint Presentations (38 Slides) cover all aspects of the specification in relation to AQA GCSE Computer Science 8525 (from 2020) component 3.8. It includes: Teaching PowerPoint Presentations (includes checkpoint questions and answers) - 38 slides Student PowerPoint Presentations (Includes checkpoint questions, but omits the answers) Content Covered: Explain the current ethical, legal and environmental impacts and risks of digital technology on society. Where data privacy issues arise, these should be considered. Exam questions will be taken from the following areas: • cyber security • mobile technologies • wireless networking • cloud storage • hacking (unauthorised access to a computer system) • wearable technologies • computer-based implants • autonomous vehicles.

These adaptable PowerPoint Presentations (79 Slides) cover all aspects of the specification in relation to Edexcel GCSE Computer Science 1CP2 (from 2020) topic 5. It includes: Teaching PowerPoints (including checkpoint questions and answers) Student PowerPoints (Including checkpoint questions, but omits the answers) Content Covered: · understand environmental issues associated with the use of digital devices (energy consumption, manufacture, replacement cycle, disposal) · understand ethical and legal issues associated with the collection and use of personal data (privacy, ownership, consent, misuse, data protection) · understand ethical and legal issues associated with the use of artificial intelligence, machine learning and robotics (accountability, safety, algorithmic bias, legal liability) · understand methods of intellectual property protection for computer systems and software (copyright, patents, trademarks, licencing) · understand the threat to digital systems posed by malware (viruses, worms, Trojans, ransomware, key loggers) and how hackers exploit technical vulnerabilities (unpatched software, out-of-date anti-malware) and use social engineering to carry out cyberattacks · understand methods of protecting digital systems and data (anti-malware, encryption, acceptable use policies, backup and recovery procedures)

This photocopiable resource has been produced to provide 7 to 14 year old students with exciting and engaging opportunities to learn coding concepts using the Python programming language. There are enough activities for 4 to 5 lessons. Including: Algorithms Sequences Iteration (Repetition) Selection Variables The resource covers the programming aspect of the computing national curriculum. use two or more programming languages, at least one of which is textual, to solve a variety of computational problems make appropriate use of data structures [for example, lists, tables or arrays] design and develop modular programs that use procedures or functions.

The assessment criteria shown below have been developed to provide a broader range of assessment opportunities for students of all abilities. Each national curriculum statement has been broken down into three distinct levels from bronze (A) to silver (B) to gold ©. Individual student performance can be recorded, providing a map of progress across the whole curriculum. Students can use this mapping to independently identify how they are progressing and this data can also be shared with parents.

This is the first lesson in a series teaching Python Programming. It really starts at the very beginning. It’s designed to be used by children and adults with no experience of programming. Python and the Python Logo are trademarks or registered trade marks of the Python Software Foundation.