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COMPUTER SCIENCE

A Level

Two Years

ENTRY REQUIREMENTS

GCSE English at Grade 5 and Maths at Grade 6 with an average points score of 6 or above. Students should take A Level Maths, Physics, Chemistry or Electronics alongside this course for future progression to Computing Science Degrees.

ASSESSMENT METHOD

This course is assessed by coursework (20%) and exams (80%).

About this course

This course is ideal for learners who have a strong interest in programming and the mathematical side of computing. This course covers elements such as contemporary processors, software development, data types and much more. Students will also look at moral and ethical issues and elements of computational thinking. Computer Science is not the same as ICT, and is relevant if you have good mathematical and problem solving skills.


COURSE AREA LEAD

Steve Robson

Who is this aimed at?

This course is aimed at students who:

  • Would like to learn how to program in modern programming languages

  • Have an interest in a computing related career

  • Would like to find out more about computers and their role in everyday life

  • Would like to learn how to look at problems and design programs to solve them

  • Would like to learn about how computer systems work, right down to the CPU level

  • Would like to understand the applications of computers in networks and the Internet

  • Would like to progress to a computer science or a software design degree course

What will you learn?

  • Characteristics of contemporary processors

  • Software and development

  • Exchanging data

  • Data types structures and algorithms

  • Legal, moral and ethical issues

  • Elements of computational thinking

  • Problem solving and programming

  • Algorithms to solve problems & standard algorithms

  • Analysis of the problem

  • Design of the solution

  • Developing the solution

What skills will you develop?

  • Computational Thinking

  • Data Structures

  • Problem solving

  • Research

  • Effort

  • Systems

  • Programming

  • Computational Methods

  • Algorithms

  • Metacognition

  • Vision

Professional development

  • Computer Science

  • Mechanical

  • Engineering

  • Cyber Security

  • Physics

  • Mathematics

  • CAD Designer

  • Systems Analyst

  • Software Developer

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