Computing

 

Curriculum Intent:

By the time that students finish their study of Computing they will be problem solvers, equipped to use computational thinking and creativity to change the world. They will have developed the skills and knowledge to be digitally literate and will be able to safely navigate the digital realm. Students will have the confidence to engage with digital systems whether known or unknown and, importantly, they will also have developed the ability to communicate technical terminology to non-technological individuals. The knowledge and skills gained will enable them to find future employment and become active participants in the digital world and will ensure that they are responsible, competent, confident and creative users of information and communication technology.

 

KS3

 

Autumn 1

Autumn 2

Spring 1

Spring 2

Summer 1

Summer 2

Y7

Collaborating online effectively 

 

Knowledge Organiser

Office applications: Spreadsheets 

 

Knowledge Organiser

 

Using Media 

 

Programming essentials in Scratch Part 1

 

Knowledge Organiser

 

Clear messaging in digital media

 

Knowledge Organiser

 

Programming essentials in Scratch Part 2

 

Knowledge Organiser

 

Y8

Website development principles

Knowledge Organiser

Introduction to Binary

 

Knowledge Organiser

Computing systems 

 

Knowledge Organiser

Bitmap and Vector Graphics

 

Knowledge Organiser

 

Introduction to Python programming

Knowledge Organiser

Networks

 

Knowledge Organiser

Y9

Algorithms 

 

 

Knowledge Organiser

Data Science

 

 

Knowledge Organiser

Python Programming

 

Knowledge Organiser

Physical Computing /Programming with Micro:bits and Kitronik Move

 

Knowledge Organiser

Cybersecurity

 

 

 

Knowledge Organiser

NEW ACADEMIC YEAR (Year 10)

 

GCSE Computer Science J277 (OCR)  - 2.1 Algorithms

 

KS4

 

Subject

Autumn 1

Autumn 2

Spring 1

Spring 2

Summer 1

Summer 2

 

Y10

 

GCSE Computer Science J277 (OCR)

2.1 Algorithms



 

2.2 Programming fundamentals 


 

2.1 Algorithms

 

 

 

2.2 Programming fundamentals 

1.1 Systems Architecture 

 

1.2 Memory and storage

 

2.2 Programming fundamentals /

2.3 Producing robust programming 

1.3 Networks 

 

1.4 Network security

 

2.3 Producing robust programming 



 

1.5 Systems Software



 

2.4 Boolean logic

1.6 Ethics



 

2.5 Programming languages and IDEs

Y11

 

GCSE Computer Science J277 (OCR)

 

1.2 Memory and storage

2.3 Producing robust programming 

 

1.5 Systems Software / 2.4 Boolean logic

 

1.3 Networks

 

1.4 Network Security

 

REVISION

 

REVISION /EXAMS


 

KS4 exam board & specification:

OCR GCSE Computer Science J277 

https://www.ocr.org.uk/Images/558027-specification-gcse-computer-science-j277.pdf

Textbooks:

OCR GCSE (9-1) J277 Computer Science

 

KS5

KS5

 

Autumn 1

Autumn 2

Spring 1

Spring 2

Summer 1

Summer 2

 

Y12

 

A level Computer Science H446 (OCR)

 

1.1 The characteristics of contemporary processors, input, output and storage devices

 

2.1 Elements of Computational Thinking.

 

1.2 Software and Software Development



 

2.2 Problem Solving and Programming

 

1.4 Data types, data structures and algorithms

 

2.3 Algorithms

 

1.3 Exchanging Data



 

1.2.4 Types of Programming Language

 

1.5 Legal, moral, ethical and cultural issues

 

1.2.4 Types of Programming Language

 

1.2.4 Types of Programming Language

 

Programming Project preparation. 

Y13

 

A LEVEL Computer Science H446 (OCR)

 

1.5 Legal, moral, ethical and cultural issues (REVISION)

 

1.2.4 Types of Programming Language

 

Programming Project



 

 

1.3.1 Compression, Encryption and Hashing

 

Programming Project

 

REVISION



 

Programming Project

NG120Z2F7Q


REVISION



 

Programming Project

 

REVISION



 

Programming project submission

 

A LEVEL EXAM

KS5 exam board & specification:

OCR A level Computer Science H446
https://www.ocr.org.uk/images/170844-specification-accredited-a-level-gce-computer-science-h446.pdf

 

Textbooks:

OCR A/AS Level Computer Science (for H446)

Tackling A Level Projects in Computer Science for OCR H446

 

How to help your child:

1. Establish routines in which independent learning is completed in a timely fashion with integrity and with supervision.

2. Limit recreational screen time during the school week. A reward system for screen time can help with this!

3. Learning computer programming is very much like learning a language. It works best when you practise constantly - a little, often, is one of the best strategies for this.

 

Opportunities for Enrichment:

At Lampton, we offer a computing club dedicated to encouraging female computer scientists the opportunity to participate in a number of competitions. We enter all students into a Coding Competition and offer opportunities for trips and work experience to some of the older students.

 

Careers related to Computing:

Success in Computing at GCSE and A-Level can be a powerful launchpad into the digital world, opening up a wide array of modern, in-demand careers. Computing equips students with critical skills such as logical thinking, problem-solving, programming, and an understanding of how computer systems work—all of which are essential in our increasingly tech-driven society. Doing well in this subject demonstrates not just technical ability, but also creativity, perseverance, and an aptitude for understanding complex systems, all of which are highly valued by employers.

A strong performance in Computing can lead directly into software development roles, such as a programmer, app developer, or web developer. These careers involve writing code, building and maintaining applications, and solving real-world problems with technology. Computing at A-Level provides an excellent foundation for studying Computer Science at university, which in turn opens doors to more advanced roles like machine learning engineer, AI specialist, or systems architect.

Beyond development, success in Computing can lead to careers in cybersecurity—a fast-growing field where professionals work to protect digital systems and data from threats. Ethical hackers, information security analysts, and cybercrime investigators all rely on the technical knowledge gained through computing education. Many of these roles require not only an understanding of programming and networks, but also the ability to think like both a problem-solver and a detective.

Other career paths include data science, where computing knowledge combines with maths and statistics to analyze and draw insights from large data sets. Roles like data analyst or business intelligence specialist are essential in companies that rely on data-driven decisions. Similarly, knowledge of computing supports careers in game design, animation, and digital media, where logic, storytelling, and interactivity meet technical skills like coding and scripting.

Even in non-technical careers, success in Computing is becoming more valuable. Fields such as marketing, healthcare, education, and finance increasingly rely on digital tools, data platforms, and automation. Being confident in computing means being adaptable and ready for the digital demands of almost any profession. Moreover, with the rise of remote work and tech-based collaboration, digital fluency is now a basic professional requirement.

 

For further information, contact: vubhi@lampton.org.uk

 

 

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