Address: The Royal Grammar School,
Amersham Road,
High Wycombe,
HP13 6QT
Calendar-event
Viewed by 12 users
Data and computer systems in GCSE computer science Thursday Aug 29, 2019 from 8:30AM to 6:00PM
Organised by: Kira TerryKira Terry Hosted by: NCCE
Mathematics and Science Learning Centre, mslc@southampton.ac.uk
Tickets: book here:
Please note that this event is not one organised by Computing at School.
Should you wish to register for this event, you will be taken to a booking link on an external website.
Computing at School is not accountable for any aspect of the content or management of this event.

This course is delivered as part of the National Centre for Computing Education, and forms part of the Computer Science Accelerator programme.

Computer programs are written in a language that humans understand, but what about the computer itself? Every piece of software, and the instructions and data it contains, is made up of 1’s and 0’s, pushed around the parts of a computer system.

This course opens the box, looking at the components of a computer, what they do and how they work together in computer systems. You’ll learn about the processor that sits at the centre, as well as memory, storage and the other key pieces of hardware.

Mapped closely to the specifications of GCSE computer science, the course will provide you with deepened knowledge and confidence to equip your students with for their exams.

If you are interested in this course please register your interest by following this link https://www.stem.org.uk/register-your-interest-computing-cpd

Bursaries exist to support you through 40 hours of CPD to complete the CS Accelerator programme. If you don’t complete the programme, we reserve the right to reclaim any bursaries paid.

Outcomes

You will gain the required knowledge to help your students:

  • know the function of the main parts of a computer system, including detailed knowledge of the processor
  • develop a firm understanding of the fetch-decode-execute cycle
  • follow how high-level programming languages translate to machine code, represented in binary
  • understand how changes to processor architecture, storage and memory affect the performance of a computer