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Foundation knowledge of computer science for KS3 and GCSE - remote

CP426 Live remote training course

For computer science teachers who are new or existing to the subject. This CPD covers the foundation subject knowledge required to teach the computing programme of study.

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Algorithmic thinking Computer systems Data & information Programming Key stage 3 Key stage 4 KS3 and GCSE subject knowledge certificate
Live remote training course 1 day

  • Live remote training 4 December 09:30—4 December 2024
  • Live remote training 11 December 09:30—11 December 2024
  • Live remote training 3 February 14:15—25 February 2025
  • Live remote training 28 May 09:00—28 May 2025

A high-quality computer science education equips students to use computational thinking and creativity to understand and change the world. Computer science forms the core of the computing national curriculum, a foundation subject and a vital aspect of a broad and balanced curriculum for all learners. If you’re new, moving towards or an existing teacher of Key Stage 3 / GCSE computer science, then this course will allow you to explore the foundation subject knowledge.

The sessions within this course are designed to give you the subject knowledge around key topics such as algorithms, data representation, hardware and programming, whilst also exploring useful and engaging strategies for delivering this content in the classroom.

Book now and you will be automatically registered for the scheduled sessions for the course. Remote CPD courses have live, Professional Development Leader-led sessions and are not available for instant access. Please refer to the schedule of dates published for each course instance.

Who is it for?

This course is for prospective teachers of Key Stage 3 / 4 computing who may be new to the subject, or who may have taught computing in earlier years.

Topics covered

01 | Introduction & data representation – during this session you’ll learn about key hardware components inside the computer and how computers use binary, convert between binary and decimal values and how images are represented by a computer.

02 | Algorithms – this session will explore what algorithms are and how they’re used in computing, you’ll begin creating your own flowchart algorithms and learn how several search and sort algorithms function. 

03 | Developing algorithms – during this session, you’ll develop your own flowchart algorithms to represent a given problem. 

04 | Programming (part 1) – learn the principle programming constructs required, including sequencing and selection, this session will begin using these constructs in a block based language. 

05 | Programming (part 2) – take the next steps with your programming knowledge by learning about iteration, in this session you will learn how to program both conditions and count controlled loops in a block based language. 

06 | Developing programs – using your knowledge from the previous programming sessions you will be supported to create your own computer programs.

How long is this course?

This course is approximately six hours in duration, split across several days.

How will you learn?

Scheduled live, interactive online sessions led by an experienced practitioner.

Flexible Professional Development Leader-supported, participant-led tasks, involving deep exploration of the subject content.

Outcomes

By the end of this course you will be able to:

  • Understand why computers use binary and be able to convert between binary and decimal values
  • Understand what an algorithm is and how to represent them by using flowcharts
  • Be able to explain how search and sort algorithms work
  • Be able to use a block based programming language using constructs sequencing, selection and iteration

This course is part of the KS3 and GCSE Computer Science subject knowledge certificate

Key stage 3 and GCSE Computer Science certificate

Our certificate is designed to help you develop or refresh your computer science subject knowledge.

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This course is from the National Centre for Computing Education and is delivered by STEM Learning.

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