methods and simple tools e.g., abacus

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Presentation transcript:

methods and simple tools e.g., abacus -3000 now CALCULATION methods and simple tools e.g., abacus First calculating machines ~1650 electronic computing era 1940-now

mathematical logicians merchants ARITHMETIC MACHINES now SLIDE RULES LOGIC engineers mathematical logicians

Newton, Leibniz calculus ~1680 US Army starts ENIAC 1940 DARPA starts MULTICS 1965 ARPANET 1967 Pascal calculator 1650 Newton, Leibniz calculus ~1680 US Army starts ENIAC 1940 now ARITHMETIC MACHINES SLIDE RULES LOGIC HP portable calculator 1972 Babbage difference engine 1820 Napier logarithm 1620 Shannon 1942 Boolean Algebra, 1948 information theory Babbage analytical engine 1840 Frege “Thought” 1880 Turing, Church, Gödel, Post computabillity 1936

Newton, Leibniz calculus ~1680 Pascal calculator 1650 Newton, Leibniz calculus ~1680 Newton Leibniz now ARITHMETIC MACHINES SLIDE RULES Napier logarithm 1650 Pascal Napier

ARITHMETIC MACHINES & SLIDE RULES Babbage difference engine 1820 Babbage analytical engine 1840 now ARITHMETIC MACHINES & SLIDE RULES Babbage Difference Engine Lovelace

ARITHMETIC MACHINES & SLIDE RULES IBM Card machines 1920 Vannevar Bush differential analyzer 1930 US Army ENIAC 1940 DARPA MULTICS 1965 ARPANET 1967 now ARITHMETIC MACHINES & SLIDE RULES Cloud 2005 HP portable calculator 1972 WWW 1993 Atanasoff 1937 Zuse 1936 Internet 1983

Vannevar Bush John Atanasoff Konrad Zuse

ARITHMETIC MACHINES & SLIDE RULES IBM Card machines 1924 Vannevar Bush differential analyzer 1930 US Army ENIAC 1940 DARPA MULTICS 1965 ARPANET 1967 now ARITHMETIC MACHINES & SLIDE RULES Alan Turing computable numbers 1936 Alan Turing artificial intelligence 1950 Alan Turing

Initial theories of computing 1936-1937 Alan Turing Alonzo Church Emil Post

First digital electronic computer 1946 J Mauchley J Presper Eckert Engineering, not theory, influenced design of computers

ENIAC

EDSAC Maurice Wilkes

John Backus FORTRAN 1957 First scientific HL language RDML Grace Hopper COBOL 1958 First business language First compiler

Always a computer in the background What is computer science? 1950 1970 1980 2000 now COMPUTER SCIENCE Phenomena surrounding computers Programming Automation Information processes artificial and natural Always a computer in the background

Phenomena surrounding computers Allen Newell Alan Perlis Herbert Simon

Programming Donald Knuth Edsger Dijkstra

Automation Bruce Arden CP3O / R2D2

World Wide Web Tim Berners-Lee

Natural information processes Ken Wilson David Baltimore

IBM Blue Gene Computer (250,000 cores)

Moore’s Law for transistors

Koomey’s law 2011

What’s in Computer Science Technology view Principles view

Technology View (ACM 2013) Algorithms & complexity Architecture & organization Computational science Discrete structures Graphics & visualization Human-computer interaction Information Assurance & security Information management Intelligent systems Network & communications Operating systems Platform based development Parallel & distributed computing Programming languages Software development fundamentals Software engineering Systems fundamentals Social & professional practice + 175 subtopics under these

Computational Thinking Designing ways to get computers to do jobs for us Explaining the world in terms of information processes

Dimensions of Computational Thinking Designing Explaining methods Practices, technologies, and interpretations of computation design machines computational science computing software engineering

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