Beginner Topic 1 of 51 Emerging & Frontier Topics
History of Computing
Milestones from abacus to modern computers.
How it works
Computing grew from counting aids and mechanical calculators to programmable machines. Milestones include the abacus, Pascal and Leibniz calculators, Babbage's Analytical Engine and Ada Lovelace's notes on programming it, Turing's 1936 abstract machine, ENIAC and the stored-program design of von Neumann in the 1940s, the transistor in 1947, integrated circuits in the late 1950s, microprocessors in the 1970s, personal computers in the 1980s, ARPANET in 1969 growing into the Internet, the Web in 1991, smartphones, cloud computing and the deep-learning boom. Moore's law described the steady doubling of transistor counts.
Where it is used
Knowing the history explains why systems look the way they do, such as the layered network stack and the Unix tradition, and shows that ideas are often rediscovered.
Common pitfall
Simple hero stories hide the many people and teams involved, and dates for firsts are disputed. Treat credit as shared and check claims against reliable sources.
Where it fits in the course
History of Computing is topic 1 of 51 in Emerging & Frontier Topics, rated Beginner. It is the first topic in this area. The next topic is Careers in Computer Science.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Emerging & Frontier Topics quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Emerging & Frontier Topics quiz, and revisit the topic if you miss a question.
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Related topics
- Careers in Computer Science (Emerging & Frontier Topics)
- How Computers Work Overview (Emerging & Frontier Topics)
- Computational Thinking (Emerging & Frontier Topics)
- Ethics in Computing (Emerging & Frontier Topics)
- Cloud Computing (Distributed Systems & Cloud)
- Edge Computing (Mobile, Embedded & IoT)
- Serverless Computing (Distributed Systems & Cloud)