Pioneers of Computing
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Typology of Programming Languages E Early Languages E
Typology of programming languages e Early Languages E Typology of programming languages Early Languages 1 / 71 The Tower of Babel Typology of programming languages Early Languages 2 / 71 Table of Contents 1 Fortran 2 ALGOL 3 COBOL 4 The second wave 5 The finale Typology of programming languages Early Languages 3 / 71 IBM Mathematical Formula Translator system Fortran I, 1954-1956, IBM 704, a team led by John Backus. Typology of programming languages Early Languages 4 / 71 IBM 704 (1956) Typology of programming languages Early Languages 5 / 71 IBM Mathematical Formula Translator system The main goal is user satisfaction (economical interest) rather than academic. Compiled language. a single data structure : arrays comments arithmetics expressions DO loops subprograms and functions I/O machine independence Typology of programming languages Early Languages 6 / 71 FORTRAN’s success Because: programmers productivity easy to learn by IBM the audience was mainly scientific simplifications (e.g., I/O) Typology of programming languages Early Languages 7 / 71 FORTRAN I C FIND THE MEAN OF N NUMBERS AND THE NUMBER OF C VALUES GREATER THAN IT DIMENSION A(99) REAL MEAN READ(1,5)N 5 FORMAT(I2) READ(1,10)(A(I),I=1,N) 10 FORMAT(6F10.5) SUM=0.0 DO 15 I=1,N 15 SUM=SUM+A(I) MEAN=SUM/FLOAT(N) NUMBER=0 DO 20 I=1,N IF (A(I) .LE. MEAN) GOTO 20 NUMBER=NUMBER+1 20 CONTINUE WRITE (2,25) MEAN,NUMBER 25 FORMAT(11H MEAN = ,F10.5,5X,21H NUMBER SUP = ,I5) STOP TypologyEND of programming languages Early Languages 8 / 71 Fortran on Cards Typology of programming languages Early Languages 9 / 71 Fortrans Typology of programming languages Early Languages 10 / 71 Table of Contents 1 Fortran 2 ALGOL 3 COBOL 4 The second wave 5 The finale Typology of programming languages Early Languages 11 / 71 ALGOL, Demon Star, Beta Persei, 26 Persei Typology of programming languages Early Languages 12 / 71 ALGOL 58 Originally, IAL, International Algebraic Language. -
Edsger Dijkstra: the Man Who Carried Computer Science on His Shoulders
INFERENCE / Vol. 5, No. 3 Edsger Dijkstra The Man Who Carried Computer Science on His Shoulders Krzysztof Apt s it turned out, the train I had taken from dsger dijkstra was born in Rotterdam in 1930. Nijmegen to Eindhoven arrived late. To make He described his father, at one time the president matters worse, I was then unable to find the right of the Dutch Chemical Society, as “an excellent Aoffice in the university building. When I eventually arrived Echemist,” and his mother as “a brilliant mathematician for my appointment, I was more than half an hour behind who had no job.”1 In 1948, Dijkstra achieved remarkable schedule. The professor completely ignored my profuse results when he completed secondary school at the famous apologies and proceeded to take a full hour for the meet- Erasmiaans Gymnasium in Rotterdam. His school diploma ing. It was the first time I met Edsger Wybe Dijkstra. shows that he earned the highest possible grade in no less At the time of our meeting in 1975, Dijkstra was 45 than six out of thirteen subjects. He then enrolled at the years old. The most prestigious award in computer sci- University of Leiden to study physics. ence, the ACM Turing Award, had been conferred on In September 1951, Dijkstra’s father suggested he attend him three years earlier. Almost twenty years his junior, I a three-week course on programming in Cambridge. It knew very little about the field—I had only learned what turned out to be an idea with far-reaching consequences. a flowchart was a couple of weeks earlier. -
Reinventing Education Based on Data and What Works • Since 1955
Reinventing Education Based on Data and What Works • Since 1955 Carnegie Mellon is reinventing education and the way we think about leveraging technology through its study of the science of learning – an interdisciplinary effort that we’ve been tackling for more than 50 years with both computer scientists and psychologists. CMU's educational technology innovations have inspired numerous startup companies, which are helping students to learn more effectively and efficiently. 1955: Allen Newell (TPR ’57) joins 1995: Prof. Kenneth R. Koedinger (HSS Prof. Herbert Simon’s research team as ’88,’90) and Anderson develop Practical a Ph.D. student. Algebra Tutor. The program pioneers a new form of computer-aided instruction for high 1956: CMU creates one of the world’s first school students based on cognitive tutors. university computation centers. With Prof. Alan Perlis (MCS ’42) as its head, it is a joint 1995: Prof. Jack Mostow (SCS ’81) undertaking of faculty from the business, develops Project LISTEN, an intelligent tutor Simon, Newell psychology, electrical engineering and that helps children learn to read. The National mathematics departments, and the Science Foundation included Project precursor to computer science. LISTEN’s speech recognition system as one of its top 50 innovations from 1950-2000. 1956: Simon creates a “thinking machine”—enacting a mental process 1995: The Center for Automated by breaking it down into its simplest Learning and Discovery is formed, led steps. Later that year, the term “artificial by Prof. Thomas M. Mitchell. intelligence” is coined by a small group Perlis including Newell and Simon. 1998: Spinoff company Carnegie Learning is founded by CMU scientists to expand 1956: Simon, Newell and J. -
The Advent of Recursion & Logic in Computer Science
The Advent of Recursion & Logic in Computer Science MSc Thesis (Afstudeerscriptie) written by Karel Van Oudheusden –alias Edgar G. Daylight (born October 21st, 1977 in Antwerpen, Belgium) under the supervision of Dr Gerard Alberts, and submitted to the Board of Examiners in partial fulfillment of the requirements for the degree of MSc in Logic at the Universiteit van Amsterdam. Date of the public defense: Members of the Thesis Committee: November 17, 2009 Dr Gerard Alberts Prof Dr Krzysztof Apt Prof Dr Dick de Jongh Prof Dr Benedikt Löwe Dr Elizabeth de Mol Dr Leen Torenvliet 1 “We are reaching the stage of development where each new gener- ation of participants is unaware both of their overall technological ancestry and the history of the development of their speciality, and have no past to build upon.” J.A.N. Lee in 1996 [73, p.54] “To many of our colleagues, history is only the study of an irrele- vant past, with no redeeming modern value –a subject without useful scholarship.” J.A.N. Lee [73, p.55] “[E]ven when we can't know the answers, it is important to see the questions. They too form part of our understanding. If you cannot answer them now, you can alert future historians to them.” M.S. Mahoney [76, p.832] “Only do what only you can do.” E.W. Dijkstra [103, p.9] 2 Abstract The history of computer science can be viewed from a number of disciplinary perspectives, ranging from electrical engineering to linguistics. As stressed by the historian Michael Mahoney, different `communities of computing' had their own views towards what could be accomplished with a programmable comput- ing machine. -
Turing's Influence on Programming — Book Extract from “The Dawn of Software Engineering: from Turing to Dijkstra”
Turing's Influence on Programming | Book extract from \The Dawn of Software Engineering: from Turing to Dijkstra" Edgar G. Daylight∗ Eindhoven University of Technology, The Netherlands [email protected] Abstract Turing's involvement with computer building was popularized in the 1970s and later. Most notable are the books by Brian Randell (1973), Andrew Hodges (1983), and Martin Davis (2000). A central question is whether John von Neumann was influenced by Turing's 1936 paper when he helped build the EDVAC machine, even though he never cited Turing's work. This question remains unsettled up till this day. As remarked by Charles Petzold, one standard history barely mentions Turing, while the other, written by a logician, makes Turing a key player. Contrast these observations then with the fact that Turing's 1936 paper was cited and heavily discussed in 1959 among computer programmers. In 1966, the first Turing award was given to a programmer, not a computer builder, as were several subsequent Turing awards. An historical investigation of Turing's influence on computing, presented here, shows that Turing's 1936 notion of universality became increasingly relevant among programmers during the 1950s. The central thesis of this paper states that Turing's in- fluence was felt more in programming after his death than in computer building during the 1940s. 1 Introduction Many people today are led to believe that Turing is the father of the computer, the father of our digital society, as also the following praise for Martin Davis's bestseller The Universal Computer: The Road from Leibniz to Turing1 suggests: At last, a book about the origin of the computer that goes to the heart of the story: the human struggle for logic and truth. -
Biographies of Computer Scientists
1 Charles Babbage 26 December 1791 (London, UK) – 18 October 1871 (London, UK) Life and Times Charles Babbage was born into a wealthy family, and started his mathematics education very early. By . 1811, when he went to Trinity College, Cambridge, he found that he knew more mathematics then his professors. He moved to Peterhouse, Cambridge from where he graduated in 1814. However, rather than come second to his friend Herschel in the final examinations, Babbage decided not to compete for an honors degree. In 1815 he co-founded the Analytical Society dedicated to studying continental reforms of Newton's formulation of “The Calculus”. He was one of the founders of the Astronomical Society in 1820. In 1821 Babbage started work on his Difference Engine designed to accurately compile tables. Babbage received government funding to construct an actual machine, but they stopped the funding in 1832 when it became clear that its construction was running well over-budget George Schuetz completed a machine based on the design of the Difference Engine in 1854. On completing the design of the Difference Engine, Babbage started work on the Analytical Engine capable of more general symbolic manipulations. The design of the Analytical Engine was complete in 1856, but a complete machine would not be constructed for over a century. Babbage's interests were wide. It is claimed that he invented cow-catchers for railway engines, the uniform postal rate, a means of recognizing lighthouses. He was also interested in locks and ciphers. He was politically active and wrote many treatises. One of the more famous proposed the banning of street musicians. -
Historical Perspective and Further Reading 162.E1
2.21 Historical Perspective and Further Reading 162.e1 2.21 Historical Perspective and Further Reading Th is section surveys the history of in struction set architectures over time, and we give a short history of programming languages and compilers. ISAs include accumulator architectures, general-purpose register architectures, stack architectures, and a brief history of ARMv7 and the x86. We also review the controversial subjects of high-level-language computer architectures and reduced instruction set computer architectures. Th e history of programming languages includes Fortran, Lisp, Algol, C, Cobol, Pascal, Simula, Smalltalk, C+ + , and Java, and the history of compilers includes the key milestones and the pioneers who achieved them. Accumulator Architectures Hardware was precious in the earliest stored-program computers. Consequently, computer pioneers could not aff ord the number of registers found in today’s architectures. In fact, these architectures had a single register for arithmetic instructions. Since all operations would accumulate in one register, it was called the accumulator , and this style of instruction set is given the same name. For example, accumulator Archaic EDSAC in 1949 had a single accumulator. term for register. On-line Th e three-operand format of RISC-V suggests that a single register is at least two use of it as a synonym for registers shy of our needs. Having the accumulator as both a source operand and “register” is a fairly reliable indication that the user the destination of the operation fi lls part of the shortfall, but it still leaves us one has been around quite a operand short. Th at fi nal operand is found in memory. -
Simula Mother Tongue for a Generation of Nordic Programmers
Simula! Mother Tongue! for a Generation of! Nordic Programmers! Yngve Sundblad HCI, CSC, KTH! ! KTH - CSC (School of Computer Science and Communication) Yngve Sundblad – Simula OctoberYngve 2010Sundblad! Inspired by Ole-Johan Dahl, 1931-2002, and Kristen Nygaard, 1926-2002" “From the cold waters of Norway comes Object-Oriented Programming” " (first line in Bertrand Meyer#s widely used text book Object Oriented Software Construction) ! ! KTH - CSC (School of Computer Science and Communication) Yngve Sundblad – Simula OctoberYngve 2010Sundblad! Simula concepts 1967" •# Class of similar Objects (in Simula declaration of CLASS with data and actions)! •# Objects created as Instances of a Class (in Simula NEW object of class)! •# Data attributes of a class (in Simula type declared as parameters or internal)! •# Method attributes are patterns of action (PROCEDURE)! •# Message passing, calls of methods (in Simula dot-notation)! •# Subclasses that inherit from superclasses! •# Polymorphism with several subclasses to a superclass! •# Co-routines (in Simula Detach – Resume)! •# Encapsulation of data supporting abstractions! ! KTH - CSC (School of Computer Science and Communication) Yngve Sundblad – Simula OctoberYngve 2010Sundblad! Simula example BEGIN! REF(taxi) t;" CLASS taxi(n); INTEGER n;! BEGIN ! INTEGER pax;" PROCEDURE book;" IF pax<n THEN pax:=pax+1;! pax:=n;" END of taxi;! t:-NEW taxi(5);" t.book; t.book;" print(t.pax)" END! Output: 7 ! ! KTH - CSC (School of Computer Science and Communication) Yngve Sundblad – Simula OctoberYngve 2010Sundblad! -
John Mccarthy
JOHN MCCARTHY: the uncommon logician of common sense Excerpt from Out of their Minds: the lives and discoveries of 15 great computer scientists by Dennis Shasha and Cathy Lazere, Copernicus Press August 23, 2004 If you want the computer to have general intelligence, the outer structure has to be common sense knowledge and reasoning. — John McCarthy When a five-year old receives a plastic toy car, she soon pushes it and beeps the horn. She realizes that she shouldn’t roll it on the dining room table or bounce it on the floor or land it on her little brother’s head. When she returns from school, she expects to find her car in more or less the same place she last put it, because she put it outside her baby brother’s reach. The reasoning is so simple that any five-year old child can understand it, yet most computers can’t. Part of the computer’s problem has to do with its lack of knowledge about day-to-day social conventions that the five-year old has learned from her parents, such as don’t scratch the furniture and don’t injure little brothers. Another part of the problem has to do with a computer’s inability to reason as we do daily, a type of reasoning that’s foreign to conventional logic and therefore to the thinking of the average computer programmer. Conventional logic uses a form of reasoning known as deduction. Deduction permits us to conclude from statements such as “All unemployed actors are waiters, ” and “ Sebastian is an unemployed actor,” the new statement that “Sebastian is a waiter.” The main virtue of deduction is that it is “sound” — if the premises hold, then so will the conclusions. -
Internet Engineering Jan Nikodem, Ph.D. Software Engineering
Internet Engineering Jan Nikodem, Ph.D. Software Engineering Theengineering paradigm Software Engineering Lecture 3 The term "software crisis" was coined at the first NATO Software Engineering Conference in 1968 by: Friedrich. L. Bauer Nationality;German, mathematician, theoretical physicist, Technical University of Munich Friedrich L. Bauer 1924 3/24 The term "software crisis" was coined at the first NATO Software Engineering Conference in 1968 by: Peter Naur Nationality;Dutch, astronomer, Regnecentralen, Niels Bohr Institute, Technical University of Denmark, University of Copenhagen. Peter Naur 1928 4/24 Whatshouldbe ourresponse to software crisis which provided with too little quality, too late deliver and over budget? Nationality;Dutch, astronomer, Regnecentralen, Niels Bohr Institute, Technical University of Denmark, University of Copenhagen. Peter Naur 1928 5/24 Software should following an engineering paradigm NATO conference in Garmisch-Partenkirchen, 1968 Peter Naur 1928 6/24 The hope is that the progress in hardware will cure all software ills. The Oberon System User Guide and Programmer's Manual. ACM Press Nationality;Swiss, electrical engineer, computer scientist ETH Zürich, IBM Zürich Research Laboratory, Institute for Media Communications Martin Reiser 7/24 However, a critical observer may notethat software manages to outgrow hardware in size and sluggishness. The Oberon System User Guide and Programmer's Manual. ACM Press Nationality;Swiss, electrical engineer, computer scientist ETH Zürich, IBM Zürich Research Laboratory, Institute for Media Communications Martin Reiser 8/24 Wirth's computing adage Software is getting slower more rapidly than hardware becomes faster. Nationality;Swiss, electronic engineer, computer scientist ETH Zürich, University of California, Berkeley, Stanford University University of Zurich. Xerox PARC. -
Women in Computing
History of Computing CSE P590A (UW) PP190/290-3 (UCB) CSE 290 291 (D00) Women in Computing Katherine Deibel University of Washington [email protected] 1 An Amazing Photo Philadelphia Inquirer, "Your Neighbors" article, 8/13/1957 2 Diversity Crisis in Computer Science Percentage of CS/IS Bachelor Degrees Awarded to Women National Center for Education Statistics, 2001 3 Goals of this talk ! Highlight the many accomplishments made by women in the computing field ! Learn their stories, both good and bad 4 Augusta Ada King, Countess of Lovelace ! Translated and extended Menabrea’s article on Babbage’s Analytical Engine ! Predicted computers could be used for music and graphics ! Wrote the first algorithm— how to compute Bernoulli numbers ! Developed notions of looping and subroutines 5 Garbage In, Garbage Out The Analytical Engine has no pretensions whatever to originate anything. It can do whatever we know how to order it to perform. It can follow analysis; but it has no power of anticipating any analytical relations or truths. — Ada Lovelace, Note G 6 On her genius and insight If you are as fastidious about the acts of your friendship as you are about those of your pen, I much fear I shall equally lose your friendship and your Notes. I am very reluctant to return your admirable & philosophic 'Note A.' Pray do not alter it… All this was impossible for you to know by intuition and the more I read your notes the more surprised I am at them and regret not having earlier explored so rich a vein of the noblest metal. -
Object Summary Collections 11/19/2019 Collection·Contains Text·"Manuscripts"·Or Collection·Contains Text·"University"·And Status·Does Not Contain Text·"Deaccessioned"
Object_Summary_Collections 11/19/2019 Collection·Contains text·"Manuscripts"·or Collection·Contains text·"University"·and Status·Does not contain text·"Deaccessioned" Collection University Archives Artifact Collection Image (picture) Object ID 1993-002 Object Name Fan, Hand Description Fan with bamboo frame with paper fan picture of flowers and butterflies. With Chinese writing, bamboo stand is black with two legs. Collection University Archives Artifact Collection Image (picture) Object ID 1993-109.001 Object Name Plaque Description Metal plaque screwed on to wood. Plaque with screws in corner and engraved lettering. Inscription: Dr. F. K. Ramsey, Favorite professor, V. M. Class of 1952. Collection University Archives Artifact Collection Image (picture) Object ID 1993-109.002 Object Name Award Description Gold-colored, metal plaque, screwed on "walnut" wood; lettering on brown background. Inscription: Present with Christian love to Frank K. Ramsey in recognition of his leadership in the CUMC/WF resotration fund drive, June 17, 1984. Collection University Archives Artifact Collection Image (picture) Object ID 1993-109.003 Object Name Plaque Description Wood with metal plaque adhered to it; plque is silver and black, scroll with graphic design and lettering. Inscription: To Frank K. Ramsey, D. V. M. in appreciation for unerring dedication to teaching excellence and continuing support of the profession. Class of 1952. Page 1 Collection University Archives Artifact Collection Image (picture) Object ID 1993-109.004 Object Name Award Description Metal plaque screwed into wood; plaque is in scroll shape on top and bottom. Inscription: 1974; Veterinary Service Award, F. K. Ramsey, Iowa Veterinary Medical Association. Collection University Archives Artifact Collection Image (picture) Object ID 1993-109.005 Object Name Award Description Metal plaque screwed onto wood; raised metal spray of leaves on lower corner; black lettering.