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ANNOUNCEMENT

COVID-19 restrictions: Current restrictions mean most face-to-face course bookings are on hold until further notice. Our wide range of remote and online courses are not impacted by these restrictions. You can also visit our home teaching page to see an extensive list of free, high quality materials for teachers and parents.

Representing algorithms using flowcharts and pseudocode - remote

CP420 Remote course

Improve your knowledge of algorithms to the level appropriate for GCSE teaching. Become confident in using the key building blocks of sequence, selection and iteration, and learn to apply algorithmic thinking.

Key stage 4
Remote course 5 hours

  • 14 April 09:30—14 April 2021
  • Remote delivered CPD 19 April 16:00—26 April 2021
  • Remote delivered CPD 20 April 09:30—20 April 2021
  • Remote delivered CPD 28 April 13:00—12 May 2021
  • Remote delivered CPD 5 May 14:00—19 May 2021
  • Remote delivered CPD 10 May 16:00—14 May 2021
  • Remote delivered CPD 12 May 09:30—12 May 2021
  • 25 May 09:00—25 May 2021
  • Remote delivered CPD 4 June 17:00—14 June 2021
  • 11 June 09:00—11 June 2021
  • Remote delivered CPD 15 June 16:00—22 June 2021
  • Remote delivered CPD 23 June 16:00—30 June 2021
  • Remote delivered CPD 7 July 09:00—7 July 2021
  • 14 July 09:00—14 July 2021
  • Remote delivered CPD 21 July 10:00—21 July 2021
  • Remote delivered CPD 30 July 09:00—30 July 2021

An understanding of algorithms is vital for success in GCSE computer science. Students need to know how algorithms are designed to solve a problem, and how these designs are represented to other humans.

Improve your knowledge of algorithms to the level appropriate for GCSE teaching. Become confident in using the key building blocks of sequence, selection and iteration, and learn to apply algorithmic thinking. See what’s expected for GCSE examinations by different awarding bodies, and understand how to construct or trace pseudocode and flowchart representations of algorithms.

Book now and you will be automatically registered for the scheduled sessions for the course. Remote CPD courses have live, facilitator-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 current or prospective teachers of GCSE computer science with some understanding of computer science fundamentals.

Prior knowledge:

You’ll need to know some basic concepts and terminology to access this GCSE-level subject knowledge enhancement. If you are entirely new to computer science, we recommend first participating in our one-day course, An introduction to algorithms, programming and data in GCSE computer science.

What does it cost?

This course is fully funded for participants from maintained schools in England. If you are from an independent school or from an organisation outside England, then the course fee is £220.

Course units:

  • 01 | Core concepts – get to grips with the fundamentals of algorithms by exploring sequencing, selection, iteration.
  • 02 | Implementing core concepts – examine how the core concepts can be implemented within an algorithm.
  • 03 | Flowcharts - learn how to read and write flowcharts, which can be used to represent algorithms.
  • 04 | Creating your own flowchart algorithm – decompose and create your own algorithms represented as flowcharts.
  • 05 | Pseudocode – learn how to read and write pseudocode, and use these to represent a range of algorithms.

How will you learn?

Scheduled live, interactive online sessions led by an experienced practitioner. Flexible facilitator-supported, participant-led sessions, involving deep exploration of the subject content.

Do you prefer to learn in a classroom?

If so, take a look at:

Representing algorithms using flowcharts and pseudocode

How long is the course?

This course is approximately 5 hours in duration, split across several days.

This course is delivered as part of the National Centre for Computing Education.

You will:

  • Learn the key building blocks of algorithms to be executed using a computer.
  • Analyse problems and design algorithmic solutions.
  • Represent algorithms using pseudocode and flowcharts.
  • Gain confidence in tracing and improving algorithms.
  • Take away activities and teaching practice to use in your classroom.

This course is part of the Teach GCSE computer science certificate.

Teach GCSE computer science

Our certified professional development programme will equip you with the subject knowledge and confidence to successfully teach and lead GCSE computer science.

Find out more

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