THE NEXT AVAILABLE COMPUTING SKE COURSE STARTS 5th April 2021
Eureka Online College has released a new Computing SKE course covering the main cornerstones of the Computer Science GCSE; the course is accessible online, is on-demand and comes with full tutor support. To apply to one of our courses, please complete the contact form below to request an application form.
We can provide the right course for you, as we offer the full range of SKE course lengths, from 8 to 28 weeks.
The complete course has comprehensive coverage of what students need to learn in UK schools along with many tips on pedagogy embedded within the course material.
If you have specific needs, your course can be tailored to your individual requirements and focus on knowledge gaps and areas you need to cover in more depth to gain confidence in your abilities and knowledge as a teacher of Computer Science.
Your course tutor will track your progress on the course and will leave you feedback to your assignments and is also available to take questions via email.
In addition to this support, you will also receive one to one lessons with a qualified and practising Computer Science teacher. The live lessons are delivered via our live online classroom and are scheduled at mutually convenient times, so you never need to miss a lesson due to work or other commitments.
There are many positives to our Computing SKE course:
The flexibility that is built into our computing SKE course allows students to select from a wide range of material to put
together a tailor-made SKE course addressing gaps in their subject knowledge.
Below is a list of titles from our most popular units of study. Click here for the complete list of units on the course
Computer Science Topic | What is covered |
Introduction to Computer Science | This unit covers the importance and scope of Computer Science and looks at the reasons that students choose to study it. |
Algorithms and Computational Thinking | This unit looks at the tools that computer scientists use to solve problems in a systematic way. This approach is the bedrock that all Computer Science is built on. |
Programming Techniques | This unit addresses how to program using the Python programming language. This language is regarded as the key language for students to learn and has many benefits due to its wide adoption in education. |
Writing Reliable Code | In this unit we will understand about using an Integrated Development Environment and debugging using standard tools and techniques. It is vital to be able to teach students how to debug their programs efficiently and for them to know the facilities available in a standard IDE. |
Data Representation | All computers use binary as the heart of their storage and processing, we will understand how this number system is used to store and represent data and instructions in Von Neumann architecture systems. |
System Development | We will look at developing projects incorporating the system lifecycle, starting at analysis through to the final evaluation. We shall see what higher level features of documentation are required to satisfy examination board criteria and standard documentation techniques. |
Data Structures | In Computer Science, we have a range of options as to how we can manipulate and store data in a programming environment. We shall look at the difference types and consider how they can be used as well as the advantages and disadvantages. |
Computing Fundamentals | You will be covering Computer system architecture and hardware. From early computer systems to the modern developments in chip and memory technology. We will also understand the cycle of the CPU and how various components work together when a program is run. |