History of Computer Science
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Differential Calculus and by Era Integral Calculus, Which Are Related by in Early Cultures in Classical Antiquity the Fundamental Theorem of Calculus
History of calculus - Wikipedia, the free encyclopedia 1/1/10 5:02 PM History of calculus From Wikipedia, the free encyclopedia History of science This is a sub-article to Calculus and History of mathematics. History of Calculus is part of the history of mathematics focused on limits, functions, derivatives, integrals, and infinite series. The subject, known Background historically as infinitesimal calculus, Theories/sociology constitutes a major part of modern Historiography mathematics education. It has two major Pseudoscience branches, differential calculus and By era integral calculus, which are related by In early cultures in Classical Antiquity the fundamental theorem of calculus. In the Middle Ages Calculus is the study of change, in the In the Renaissance same way that geometry is the study of Scientific Revolution shape and algebra is the study of By topic operations and their application to Natural sciences solving equations. A course in calculus Astronomy is a gateway to other, more advanced Biology courses in mathematics devoted to the Botany study of functions and limits, broadly Chemistry Ecology called mathematical analysis. Calculus Geography has widespread applications in science, Geology economics, and engineering and can Paleontology solve many problems for which algebra Physics alone is insufficient. Mathematics Algebra Calculus Combinatorics Contents Geometry Logic Statistics 1 Development of calculus Trigonometry 1.1 Integral calculus Social sciences 1.2 Differential calculus Anthropology 1.3 Mathematical analysis -
A New Golden Age for Computer Architecture: Domain-Specific
A New Golden Age for Computer Architecture: Domain-Specific Hardware/Software Co-Design, Enhanced Security, Open Instruction Sets, and Agile Chip Development John Hennessy and David Patterson Stanford and UC Berkeley 13 June 2018 https://www.youtube.com/watch?v=3LVeEjsn8Ts 1 Outline Part I: History of Part II: Current Architecture - Architecture Challenges - Mainframes, Ending of Dennard Scaling Minicomputers, and Moore’s Law, Security Microprocessors, RISC vs CISC, VLIW Part III: Future Architecture Opportunities - Domain Specific Languages and Architecture, Open Architectures, Agile Hardware Development 2 IBM Compatibility Problem in Early 1960s By early 1960’s, IBM had 4 incompatible lines of computers! 701 ➡ 7094 650 ➡ 7074 702 ➡ 7080 1401 ➡ 7010 Each system had its own: ▪ Instruction set architecture (ISA) ▪ I/O system and Secondary Storage: magnetic tapes, drums and disks ▪ Assemblers, compilers, libraries,... ▪ Market niche: business, scientific, real time, ... IBM System/360 – one ISA to rule them all 3 Control versus Datapath ▪ Processor designs split between datapath, where numbers are stored and arithmetic operations computed, and control, which sequences operations on datapath ▪ Biggest challenge for computer designers was getting control correct Control Instruction Control Lines Condition?▪ Maurice Wilkes invented the idea of microprogramming to design the control unit of a PC processor* Datapath Registers Inst. Reg. ▪ Logic expensive vs. ROM or RAM ALU Busy? Address Data ▪ ROM cheaper than RAM Main Memory ▪ ROM much faster -
A Bibliography of Publications By, and About, Charles Babbage
A Bibliography of Publications by, and about, Charles Babbage Nelson H. F. Beebe University of Utah Department of Mathematics, 110 LCB 155 S 1400 E RM 233 Salt Lake City, UT 84112-0090 USA Tel: +1 801 581 5254 FAX: +1 801 581 4148 E-mail: [email protected], [email protected], [email protected] (Internet) WWW URL: http://www.math.utah.edu/~beebe/ 08 March 2021 Version 1.24 Abstract -analogs [And99b, And99a]. This bibliography records publications of 0 [Bar96, CK01b]. 0-201-50814-1 [Ano91c]. Charles Babbage. 0-262-01121-2 [Ano91c]. 0-262-12146-8 [Ano91c, Twe91]. 0-262-13278-8 [Twe93]. 0-262-14046-2 [Twe92]. 0-262-16123-0 [Ano91c]. 0-316-64847-7 [Cro04b, CK01b]. Title word cross-reference 0-571-17242-3 [Bar96]. 1 [Bab97, BRG+87, Mar25, Mar86, Rob87a, #3 [Her99]. Rob87b, Tur91]. 1-85196-005-8 [Twe89b]. 100th [Sen71]. 108-bit [Bar00]. 1784 0 [Tee94]. 1 [Bab27d, Bab31c, Bab15]. [MB89]. 1792/1871 [Ynt77]. 17th [Hun96]. 108 000 [Bab31c, Bab15]. 108000 [Bab27d]. 1800s [Mar08]. 1800s-Style [Mar08]. 1828 1791 + 200 = 1991 [Sti91]. $19.95 [Dis91]. [Bab29a]. 1835 [Van83]. 1851 $ $ $21.50 [Mad86]. 25 [O’H82]. 26.50 [Bab51a, CK89d, CK89i, She54, She60]. $ [Enr80a, Enr80b]. $27.95 [L.90]. 28 1852 [Bab69]. 1853 [She54, She60]. 1871 $ [Hun96]. $35.00 [Ano91c]. 37.50 [Ano91c]. [Ano71b, Ano91a]. 1873 [Dod00]. 18th $45.00 [Ano91c]. q [And99a, And99b]. 1 2 [Bab29a]. 1947 [Ano48]. 1961 Adam [O’B93]. Added [Bab16b, Byr38]. [Pan63, Wil64]. 1990 [CW91]. 1991 Addison [Ano91c]. Addison-Wesley [Ano90, GG92a]. 19th [Ano91c]. Addition [Bab43a]. Additions [Gre06, Gre01, GST01]. -
“A Valuable Monument of Mathematical Genius”\Thanksmark T1: the Ladies' Diary (1704–1840)
Historia Mathematica 36 (2009) 10–47 www.elsevier.com/locate/yhmat “A valuable monument of mathematical genius” ✩: The Ladies’ Diary (1704–1840) Joe Albree ∗, Scott H. Brown Auburn University, Montgomery, USA Available online 24 December 2008 Abstract Our purpose is to view the mathematical contribution of The Ladies’ Diary as a whole. We shall range from the state of mathe- matics in England at the beginning of the 18th century to the transformations of the mathematics that was published in The Diary over 134 years, including the leading role The Ladies’ Diary played in the early development of British mathematics periodicals, to finally an account of how progress in mathematics and its journals began to overtake The Diary in Victorian Britain. © 2008 Published by Elsevier Inc. Résumé Notre but est de voir la contribution mathématique du Journal de Lady en masse. Nous varierons de l’état de mathématiques en Angleterre au début du dix-huitième siècle aux transformations des mathématiques qui a été publié dans le Journal plus de 134 ans, en incluant le principal rôle le Journal de Lady joué dans le premier développement de périodiques de mathématiques britanniques, à finalement un compte de comment le progrès dans les mathématiques et ses journaux a commencé à dépasser le Journal dans l’Homme de l’époque victorienne la Grande-Bretagne. © 2008 Published by Elsevier Inc. Keywords: 18th century; 19th century; Other institutions and academies; Bibliographic studies 1. Introduction Arithmetical Questions are as entertaining and delightful as any other Subject whatever, they are no other than Enigmas, to be solved by Numbers; . -
Wake up with CPS 006 Program Design and Methodology I Computer Science and Programming What Is Computer Science? Computer Scienc
Computer Science and Programming z Computer Science is more than programming ¾ The discipline is called informatics in many countries ¾ Elements of both science and engineering • Scientists build to learn, engineers learn to build Wake up with CPS 006 – Fred Brooks Program Design and Methodology I ¾ Elements of mathematics, physics, cognitive science, music, art, and many other fields z Computer Science is a young discipline Jeff Forbes ¾ Fiftieth anniversary in 1997, but closer to forty years of research and development ¾ First graduate program at CMU (then Carnegie Tech) in http://www.cs.duke.edu/courses/cps006/current 1965 http://www.cs.duke.edu/csed/tapestry z To some programming is an art, to others a science, to others an engineering discipline A Computer Science Tapestry 1.1 A Computer Science Tapestry 1.2 What is Computer Science? Computer Science What is it that distinguishes it from the z Artificial Intelligence thinking machines separate subjects with which it is related? z Scientific Computing weather, cars, heart, modelling What is the linking thread which gathers these z Theoretical CS analyze algorithms, models disparate branches into a single discipline? My answer to these questions is simple --- it is z Computational Geometry theory of animation, 3-D models the art of programming a computer. It is the art z Architecture hardware-software interface of designing efficient and elegant methods of z Software Engineering engineering, science getting a computer to solve problems, z Operating Systems the soul of the machine theoretical or practical, small or large, simple z Graphics from Windows to Hollywood or complex. z Many other subdisciplines C.A.R. -
Reading List
EECS 101 Introduction to Computer Science Dinda, Spring, 2009 An Introduction to Computer Science For Everyone Reading List Note: You do not need to read or buy all of these. The syllabus and/or class web page describes the required readings and what books to buy. For readings that are not in the required books, I will either provide pointers to web documents or hand out copies in class. Books David Harel, Computers Ltd: What They Really Can’t Do, Oxford University Press, 2003. Fred Brooks, The Mythical Man-month: Essays on Software Engineering, 20th Anniversary Edition, Addison-Wesley, 1995. Joel Spolsky, Joel on Software: And on Diverse and Occasionally Related Matters That Will Prove of Interest to Software Developers, Designers, and Managers, and to Those Who, Whether by Good Fortune or Ill Luck, Work with Them in Some Capacity, APress, 2004. Most content is available for free from Spolsky’s Blog (see http://www.joelonsoftware.com) Paul Graham, Hackers and Painters, O’Reilly, 2004. See also Graham’s site: http://www.paulgraham.com/ Martin Davis, The Universal Computer: The Road from Leibniz to Turing, W.W. Norton and Company, 2000. Ted Nelson, Computer Lib/Dream Machines, 1974. This book is now very rare and very expensive, which is sad given how visionary it was. Simon Singh, The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography, Anchor, 2000. Douglas Hofstadter, Goedel, Escher, Bach: The Eternal Golden Braid, 20th Anniversary Edition, Basic Books, 1999. Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, 2nd Edition, Prentice Hall, 2003. -
ESD.33 -- Systems Engineering Session #1 Course Introduction
ESD.33 -- Systems Engineering Session #4 Axiomatic Design Decision-Based Design Summary of Frameworks Phase Dan Frey Follow-up on Session #3 • Mike Fedor - Your lectures and readings about Lean Thinking have motivated me to re-read "The Goal" by Eliyahu M. Goldratt • Don Clausing – Remember that although set-based design seems to explain part of Toyota’s system, it also includes a suite of other powerful tools (QFD, Robust Design) • Denny Mahoney – What assumptions are you making about Ops Mgmt? Plan for the Session • Why are we doing this session? • Axiomatic Design (Suh) • Decision-Based Design (Hazelrigg) • What is rationality? • Overview of frameworks • Discussion of Exam #1 / Next steps Claims Made by Nam Suh • “A general theory for system design is presented” • “The theory is applicable to … large systems, software systems, organizations…” • “The flow diagram … can be used for many different tasks: design, construction, operation, modification, … maintenance … diagnosis …, and for archival documentation.” • “Design axioms were found to improve all designs without exceptions or counter-examples… When counter-examples or exceptions are proposed, the author always found flaws in the arguments.” Claims Made by Hazelrigg • “We present here … axioms and … theorems that underlie the mathematics of design” • “substantially different from … conventional … eng design” • “imposes severe conditions on upon design methodologies” • “all other measures are wrong” • “apply to … all fields of engineering … all products, processes, and services, -
Compsci 6 Programming Design and Analysis
CompSci 6 Programming Design and Analysis Robert C. Duvall http://www.cs.duke.edu/courses/cps006/fall04 http://www.cs.duke.edu/~rcd CompSci 6 : Spring 2005 1.1 What is Computer Science? Computer science is no more about computers than astronomy is about telescopes. Edsger Dijkstra Computer science is not as old as physics; it lags by a couple of hundred years. However, this does not mean that there is significantly less on the computer scientist's plate than on the physicist's: younger it may be, but it has had a far more intense upbringing! Richard Feynman http://www.wordiq.com CompSci 6 : Spring 2005 1.2 Scientists and Engineers Scientists build to learn, engineers learn to build – Fred Brooks CompSci 6 : Spring 2005 1.3 Computer Science and Programming Computer Science is more than programming The discipline is called informatics in many countries Elements of both science and engineering Elements of mathematics, physics, cognitive science, music, art, and many other fields Computer Science is a young discipline Fiftieth anniversary in 1997, but closer to forty years of research and development First graduate program at CMU (then Carnegie Tech) in 1965 To some programming is an art, to others a science, to others an engineering discipline CompSci 6 : Spring 2005 1.4 What is Computer Science? What is it that distinguishes it from the separate subjects with which it is related? What is the linking thread which gathers these disparate branches into a single discipline? My answer to these questions is simple --- it is the art of programming a computer. -
The Computer Scientist As Toolsmith—Studies in Interactive Computer Graphics
Frederick P. Brooks, Jr. Fred Brooks is the first recipient of the ACM Allen Newell Award—an honor to be presented annually to an individual whose career contributions have bridged computer science and other disciplines. Brooks was honored for a breadth of career contributions within computer science and engineering and his interdisciplinary contributions to visualization methods for biochemistry. Here, we present his acceptance lecture delivered at SIGGRAPH 94. The Computer Scientist Toolsmithas II t is a special honor to receive an award computer science. Another view of computer science named for Allen Newell. Allen was one of sees it as a discipline focused on problem-solving sys- the fathers of computer science. He was tems, and in this view computer graphics is very near especially important as a visionary and a the center of the discipline. leader in developing artificial intelligence (AI) as a subdiscipline, and in enunciating A Discipline Misnamed a vision for it. When our discipline was newborn, there was the What a man is is more important than what he usual perplexity as to its proper name. We at Chapel Idoes professionally, however, and it is Allen’s hum- Hill, following, I believe, Allen Newell and Herb ble, honorable, and self-giving character that makes it Simon, settled on “computer science” as our depart- a double honor to be a Newell awardee. I am pro- ment’s name. Now, with the benefit of three decades’ foundly grateful to the awards committee. hindsight, I believe that to have been a mistake. If we Rather than talking about one particular research understand why, we will better understand our craft. -
Computer Science and Global Economic Development: Sounds Interesting, but Is It Computer Science?
Computer Science and Global Economic Development: Sounds Interesting, but is it Computer Science? Tapan S. Parikh UC Berkeley School of Information Berkeley, CA, USA [email protected] OVERVIEW interventions from the bottom up, usually applying experi- Computer scientists have a long history of developing tools mental methods [1]. This includes prominent use of ICTs, useful for advancing knowledge and practice in other disci- both as the focus of new interventions (mobile phones for plines. More than fifty years ago, Grace Hopper said the making markets more efficient [6], digital cameras to moni- role of computers was “freeing mathematicians to do math- tor teacher attendance [2]), and as tools for understanding ematics.” [5] Fred Brooks referred to a computer scientist as their impact (PDAs and smartphones to conduct extensive a toolsmith, , making “things that do not themselves satisfy in-field surveys [8]). It is a wonderfully timely moment for human needs, but which others use in making things that computer scientists to engage with the state-of-the-art in enrich human living.” [4]. Computational biologists have ap- development research and practice. plied algorithmic techniques to process and understand the deluge of data made possible by recent advances in molecu- lar biology. WHY ACADEMIA? WHY CS? The proper way to approach this kind of research has never been clear within Computer Science. The refrain“Sounds Why do this work in academia, and within the disci- interesting, but is it Computer Science?” is frequently heard. pline of Computer Science? There are several motivations. In this paper I argue that it is crucial take an expansive Academia allows us to be more free, and take greater risks, view of what Computer Science is. -
Systems Development Life Cycle
Systems Development Life Cycle From Wikipedia, the free encyclopedia Jump to: navigation, search For other uses, see SDLC (disambiguation). Model of the Systems Development Life Cycle with the Maintenance bubble highlighted. The Systems Development Life Cycle (SDLC), or Software Development Life Cycle in systems engineering, information systems and software engineering, is the process of creating or altering systems, and the models and methodologies that people use to develop these systems. The concept generally refers to computer or information systems. In software engineering the SDLC concept underpins many kinds of software development methodologies. These methodologies form the framework for planning and controlling the creation of an information system[1]: the software development process. Contents y 1 Overview y 2 History y 3 Systems development phases o 3.1 Requirements gathering and analysis o 3.2 Design o 3.3 Build or coding o 3.4 Testing o 3.5 Operations and maintenance y 4 Systems development life cycle topics o 4.1 Management and control o 4.2 Work breakdown structured organization o 4.3 Baselines in the SDLC o 4.4 Complementary to SDLC y 5 Strengths and weaknesses y 6 See also y 7 References y 8 Further reading y 9 External links [edit] Overview Systems and Development Life Cycle (SDLC) is a process used by a systems analyst to develop an information system, including requirements, validation, training, and user (stakeholder) ownership. Any SDLC should result in a high quality system that meets or exceeds customer expectations, reaches completion within time and cost estimates, works effectively and efficiently in the current and planned Information Technology infrastructure, and is inexpensive to maintain and cost-effective to enhance.[2] Computer systems are complex and often (especially with the recent rise of Service-Oriented Architecture) link multiple traditional systems potentially supplied by different software vendors. -
2 a Revolutionary Science
2 A Revolutionary Science When the Parisian crowds stormed the Bastille fortress and prison on 14 July 1789, they set in motion a train of events that revolutionized European political culture. To many contem- porary commentators and observers of the French Revolution, it seemed that the growing disenchantment with the absolutist regime of Louis XVI had been fostered in part by a particular kind of philosophy. French philosophes condemning the iniqui- ties of the ancien regime´ drew parallels between the organization of society and the organization of nature. Like many other En- lightenment thinkers, they took it for granted that science, or natural philosophy,could be used as a tool to understand society as well as nature. They argued that the laws of nature showed how unjust and unnatural the government of France really was. It also seemed, to some at least, that the French Revolution pro- vided an opportunity to galvanize science as well as society. The new French Republic was a tabula rasa on which the reform- ers could write what they liked. They could refound society on philosophical principles, making sure this time around that the organization of society really did mirror the organization of nature. Refounding the social and intellectual structures of sci- ence itself was to be part of this process. In many ways, therefore, the storming of the Bastille led to a revolution in science as well. To many in this new generation of radical French natu- ral philosophers, mathematics seemed to provide the key to 22 A Revolutionary Science 23 understanding nature. This was nothing new in itself, of course.