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Introduction to computing Why study computer science? It encompasses many things. There is a multiplicity of university and industry courses available.

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Presentation on theme: "Introduction to computing Why study computer science? It encompasses many things. There is a multiplicity of university and industry courses available."— Presentation transcript:

1 Introduction to computing Why study computer science? It encompasses many things. There is a multiplicity of university and industry courses available. A lot is happening in many fields. It’s an exciting time to be involved. Skilled computer scientists are highly employable.

2 What is computer science about? Designing and building hardware. Designing and writing software. Managing information. Developing a wide range of systems. But at its most fundamental it is about the algorithm: a step-by-step process for carrying out an aim.

3 What makes a good computer scientist? Being up to date. Being organised. Grasping the big picture. Thinking ‘outside the box’ (in more ways than one). Understanding the basics. Being a good communicator. Being numerate but not necessarily a mathematician. Being aware of the business or domain that uses/will use the system.

4 History The history of computing is fascinating in itself but it also makes it easier to understand the nitty-gritty of the subject. Some major stages: Turing’s machine – computability information theory – Shannon mechanical programmable devices electronic programmable devices – Colossus programming languages and operating systems transistors integrated circuits and silicon chips

5 First generation Vacuum tubes/valves, e.g. ENIAC. The first multi- purpose, electronic computer, ENIAC

6 Second generation The transistor.

7 Third generation Integrated circuits/chips.. Used in keyboards, monitors, operating systems and applications

8 Fourth generation The microprocessor. Used in GUIs, the mouse and hand-held devices

9 Fifth generation Work in progress, e.g: artificial intelligence voice recognition parallel processing quantum computation nanotechnology natural language machine learning


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