Short courses at a glance

Short courses from CAS London
2017 course dates and prices are in brackets, similar prices and dates are envisaged for 2018.

  • KS3 Teach KS3 Computing – January to March
    (8 sessions, £160, 23 Jan to 20 Mar)
  • MA module in Computing Education – January to March
    (10 sessions, £1,150, 17 Jan to 28 Mar)
  • KS4 Teach GCSE Computer Science – April to July
    (10 sessions, £200, 24 Apr to 3 Jul)
  • KS5 Teach A level Computer Science: Algorithms and Data Structures – March
    (5 sessions, £100, 1 Mar to 29 Mar)
  • KS5 Teach A level Computer Science: Object Oriented Programming in Python – June to July
    (5 sessions, £100, 7 Jun to 5 Jul)
  • Diving Deep into Primary Programming – Summer / Winter
    (All-day session, £60, 9 Jun)
  • KS5 Teach A level Computer Science: A2 Projects with Databases and Python – September to November
    (5 sessions, £100, 1 Nov to 29 Nov – register of interest full, please contact Jo Brodie (j.brodie@qmul.ac.uk) for waiting list information)
  • Diving Deep into Primary Programming – Winter / Spring
    (All-day session, £60, tbc)

New 2017 short courses from CAS London at King’s (Waterloo)

We have a series of twilight courses which will take place at King’s College London (Waterloo) campus, under the CAS London (King’s College London / Queen Mary University of London) banner on Monday and Wednesday evenings in 2017. Each lasts between five and eight weeks with courses costs from £100 to £200.

PDF flyer for these events with clickable links.


KS3 Computing

January – March 2017

Teach KS3 Computing
Monday Evenings 5pm to 7pm
23rd January to 20th March (8 sessions)
£160
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MA Module in Computing Education

January – March 2017

Computer Science Education: Theory and Practice (30-credit Masters’ module).
Tuesday evenings 5.30pm to 7.30pm
17th January to 28th March.
Focus on research in computer science education and start working towards a Masters’ degree. Includes 6,000 word assignment.
£1,150

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GCSE Computing

April – July 2017

Teach GCSE Computing
Monday Evenings 5pm to 7:30pm
24th April to 3rd July (10 sessions)
£200
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A level computing

March 2017

Teach A level computing: Algorithms and Data Structures
Five twilights on Wednesdays at King’s College London
Cost: £100
Starts Wednesday 1st March ends Wednesday 29nd March 2017 (5.00-7.30pm)
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(note that this course was originally advertised in November with a start date in the last week of February and this has been moved back to the first week of March – 4 Jan 2016)


June – July 2017

Teach A level computing: Object Oriented Programming in Python
Five wednesday twilights at King’s College London.
Cost £100
Starts Wednesday 7th June 2017 ends Wednesday 5th July 2017 (5.00-7.30pm).
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November 2017

Teach A level computing: A2 Projects with Databases and Python
Five Wednesday twilights at King’s College London.
Cost £100
Starts Wednesday 1st November 2017 ends Wednesday 29th November 2017 (5.00-7.30pm)
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Please make sure you’re following @CS4FN / @cas_london_crc for updates about our resources

CAS London

Teaching London Computing (TLC) is a resource hub from the CAS Regional Centre London (‘CAS London’) and we are regularly adding free activities and other resources here. TLC’s initial role was in providing CPD support to London computing teachers, which we continue to do through CAS London by supporting Master Teachers.

Although this website will remain we won’t be updating the @TeachingLDNComp Twitter feed (the feed will still be public though as people may come across our resources while searching for related things on Twitter).

The CAS London Regional Centre is one of several university-led regional centres in the UK. Ours is run by King’s College London and Queen Mary University of London (exactly the same people in fact behind Teaching London Computing!) and CS4FN is the flagship schools computing magazine and website from Prof Paul Curzon and colleagues at QMUL.

Please make sure you’re following –
@CS4FN to hear about newly uploaded activities and resources on this site
@cas_london_crc to hear about other support and events for London computing teachers

Thank you!

Tenderfoot computing twilight sessions in London for teachers (14&27 June) FREE

We’ve split the one-day Tenderfoot session for teachers on Computational Thinking (Unit 2) into two evening sessions running on Tuesday 14th and Monday 27th June, details below. You can attend either session, there is no dependency, or you can attend both.

  • Session One introduces graphs and binary trees
  • Session Two looks at arrays, classic and shortest path algorithms.

Session One: Tenderfoot training – Clever Stuff for Common Problems – Developing computational thinking and an understanding of data structures – Focus on Graphs and Binary Trees
Tuesday 14 June 2016, King’s College London
5-7.30pm, Waterloo Bridge Wing Room G14
Tutors: Jane Waite and Trevor Bragg
Tickets: http://community.computingatschool.org.uk/events/4134

  • 02 Activity: Data structures matter (Spit not so, Knights Tour, Tour Guide)
  • 03 Activity: Many problems, one solution (Map colouring)
  • 06 Activity: Beauty of trees (Binary trees)

“Unplugged puzzles are used to explore abstraction, algorithms, decomposition and data structures. Activities can be used in the classroom the next day. KS3 Attainment targets : use and evaluate computational abstractions, understand several key algorithm.”
Eventbrite - Tenderfoot training - Clever Stuff for Common Problems - Developing computational thinking and an understanding of data structures - Focus on Graphs and Binary Trees for Session One

Session Two
Monday 27 June 2016, Lambeth
[precise location and time tbc]
Tutor: Miles Berry

  • 00 Activity: Peg swap puzzle
  • 01 Activity: Perfect shuffle
  • 04 Activity: Toy problems, real world
  • 05 Activity: The oracle of bacon

[Ticket link not yet available]

“Unplugged puzzles are used to explore abstraction, algorithms, decomposition and data structures. Activities can be used in the classroom the next day. KS3 attainment targets: use and evaluate computational abstracts, understand several key algorithms.”