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Computer Managed Instruction in Navy Training. INSTITUTION Naval Training Equipment Center, Orlando, Fla
DOCUMENT RESUME ED 089 780 IR 000 505 AUTHOR Middleton, Morris G.; And Others TITLE Computer Managed Instruction in Navy Training. INSTITUTION Naval Training Equipment Center, Orlando, Fla. Training Analysis and Evaluation Group. REPORT NO NAVTRADQUIPCEN-TAEG-14 PUB DATE Mar 74 NOTE 107p. ERRS PRICE MF-$0.75 HC-$5.40 PLUS POSTAGE DESCRIPTORS *Computer Assisted Instruction; Computers; Cost Effectiveness; Costs; *Educational Programs; *Feasibility Studies; Individualized Instruction; *Management; *Military Training; Pacing; Programing Languages; State of the Art Reviews IDENTIFIERS CMI; *Computer Managed Instruction; Minicomputers; Shipboard Computers; United States Navy ABSTRACT An investigation was made of the feasibility of computer-managed instruction (CMI) for the Navy. Possibilities were examined regarding a centralized computer system for all Navy training, minicomputers for remote classes, and shipboard computers for on-board training. The general state of the art and feasibility of CMI were reviewed, alternative computer languages and terminals studied, and criteria developed for selecting courses for CMI. Literature reviews, site visits, and a questionnaire survey were conducted. Results indicated that despite its high costs, CMI was necessary if a significant number of the more than 4000 Navy training courses were to become individualized and self-paced. It was concluded that the cost of implementing a large-scale centralized computer system for all training courses was prohibitive, but that the use of minicomputers for particular courses and for small, remote classes was feasible. It was also concluded that the use of shipboard computers for training was both desirable and technically feasible, but that this would require the acquisition of additional minicomputers for educational purposes since the existing shipboard equipment was both expensive to convert and already heavily used for other purposes. -
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. -
Computing Versus Human Thinking
By Peter Naur, recipient of ACM’s 2005 A.M. Turing Award Computing Versus Human Thinking n this presentation I shall give you an overview of efforts. Indeed, I have found that a large part of what Imy works from the past fifty years concerning the is currently said about human thinking and about sci- issue given in the title. Concerning this title I entific and scholarly activity is false and harmful to invite you to note particularly the middle word, ‘ver- our understanding. I realize that my presentation of sus’. This word points to the tendency of my efforts some of these issues may be offensive to you. This I around this theme, to wit, to clarify the contrast regret, but it cannot be avoided. between the two items, computing and human thinking. This tendency of my work has found its DESCRIPTION AS THE CORE ISSUE OF SCIENCE AND ultimate fulfilment in my latest result, which is a SCHOLARSHIP description of the nervous system showing that this The tone of critique and rejection of established system has no similarity whatever to a computer. ideas has its roots in my earliest activity, from its very It is ironic that my present award lecture is given beginning more than fifty years ago. Already in my under the title of Turing. As a matter of fact, one part work in astronomy, around 1955, a decisive item in of my work concerning computing and human think- my awareness came from Bertrand Russell’s explicit ing has been an explicit critique, or rejection, of the rejection of any notion of cause as a central issue of ideas of one prominent contribution from Alan Tur- scientific work. -
A Politico-Social History of Algolt (With a Chronology in the Form of a Log Book)
A Politico-Social History of Algolt (With a Chronology in the Form of a Log Book) R. w. BEMER Introduction This is an admittedly fragmentary chronicle of events in the develop ment of the algorithmic language ALGOL. Nevertheless, it seems perti nent, while we await the advent of a technical and conceptual history, to outline the matrix of forces which shaped that history in a political and social sense. Perhaps the author's role is only that of recorder of visible events, rather than the complex interplay of ideas which have made ALGOL the force it is in the computational world. It is true, as Professor Ershov stated in his review of a draft of the present work, that "the reading of this history, rich in curious details, nevertheless does not enable the beginner to understand why ALGOL, with a history that would seem more disappointing than triumphant, changed the face of current programming". I can only state that the time scale and my own lesser competence do not allow the tracing of conceptual development in requisite detail. Books are sure to follow in this area, particularly one by Knuth. A further defect in the present work is the relatively lesser availability of European input to the log, although I could claim better access than many in the U.S.A. This is regrettable in view of the relatively stronger support given to ALGOL in Europe. Perhaps this calmer acceptance had the effect of reducing the number of significant entries for a log such as this. Following a brief view of the pattern of events come the entries of the chronology, or log, numbered for reference in the text. -
Early Stored Program Computers
Stored Program Computers Thomas J. Bergin Computing History Museum American University 7/9/2012 1 Early Thoughts about Stored Programming • January 1944 Moore School team thinks of better ways to do things; leverages delay line memories from War research • September 1944 John von Neumann visits project – Goldstine’s meeting at Aberdeen Train Station • October 1944 Army extends the ENIAC contract research on EDVAC stored-program concept • Spring 1945 ENIAC working well • June 1945 First Draft of a Report on the EDVAC 7/9/2012 2 First Draft Report (June 1945) • John von Neumann prepares (?) a report on the EDVAC which identifies how the machine could be programmed (unfinished very rough draft) – academic: publish for the good of science – engineers: patents, patents, patents • von Neumann never repudiates the myth that he wrote it; most members of the ENIAC team contribute ideas; Goldstine note about “bashing” summer7/9/2012 letters together 3 • 1.0 Definitions – The considerations which follow deal with the structure of a very high speed automatic digital computing system, and in particular with its logical control…. – The instructions which govern this operation must be given to the device in absolutely exhaustive detail. They include all numerical information which is required to solve the problem…. – Once these instructions are given to the device, it must be be able to carry them out completely and without any need for further intelligent human intervention…. • 2.0 Main Subdivision of the System – First: since the device is a computor, it will have to perform the elementary operations of arithmetics…. – Second: the logical control of the device is the proper sequencing of its operations (by…a control organ. -
An Early Program Proof by Alan Turing F
An Early Program Proof by Alan Turing F. L. MORRIS AND C. B. JONES The paper reproduces, with typographical corrections and comments, a 7 949 paper by Alan Turing that foreshadows much subsequent work in program proving. Categories and Subject Descriptors: 0.2.4 [Software Engineeringj- correctness proofs; F.3.1 [Logics and Meanings of Programs]-assertions; K.2 [History of Computing]-software General Terms: Verification Additional Key Words and Phrases: A. M. Turing Introduction The standard references for work on program proofs b) have been omitted in the commentary, and ten attribute the early statement of direction to John other identifiers are written incorrectly. It would ap- McCarthy (e.g., McCarthy 1963); the first workable pear to be worth correcting these errors and com- methods to Peter Naur (1966) and Robert Floyd menting on the proof from the viewpoint of subse- (1967); and the provision of more formal systems to quent work on program proofs. C. A. R. Hoare (1969) and Edsger Dijkstra (1976). The Turing delivered this paper in June 1949, at the early papers of some of the computing pioneers, how- inaugural conference of the EDSAC, the computer at ever, show an awareness of the need for proofs of Cambridge University built under the direction of program correctness and even present workable meth- Maurice V. Wilkes. Turing had been writing programs ods (e.g., Goldstine and von Neumann 1947; Turing for an electronic computer since the end of 1945-at 1949). first for the proposed ACE, the computer project at the The 1949 paper by Alan M. -
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! -
Language-Level Support for Exploratory Programming of Distributed Virtual Environments
In Proc ACM UIST ‘96 (Symp. on User Interface Software and Technology), Seattle, WA, November 6–8, 1996, pp. 83–94. Language-Level Support for Exploratory Programming of Distributed Virtual Environments Blair MacIntyre and Steven Feiner Department of Computer Science, Columbia University, New York, NY, 10027 {bm,feiner}@cs.columbia.edu http://www.cs.columbia.edu/~{bm,feiner} Abstract resulted in an unmanageable welter of client-server relation- ships, with each of a dozen or more processes needing to We describe COTERIE, a toolkit that provides language- create and maintain explicit connections to each other and to level support for building distributed virtual environments. handle inevitable crashes. COTERIE is based on the distributed data-object paradigm for distributed shared memory. Any data object in COTE- We spent a sufficiently large portion of our time reengineer- RIE can be declared to be a Shared Object that is replicated ing client-server code that it became clear to us that our fully in any process that is interested in it. These Shared implementation of the client-server model was unsuitable Objects support asynchronous data propagation with atomic for exploratory programming of distributed research proto- serializable updates, and asynchronous notification of types. The heart of the problem, as we saw it, was a lack of updates. COTERIE is built in Modula-3 and uses existing support for data sharing that was both efficient and easy for Modula-3 packages that support an integrated interpreted programmers to use in the face of frequent and unantici- language, multithreading, and 3D animation. Unlike other pated changes. -
Archons (Commanders) [NOTICE: They Are NOT Anlien Parasites], and Then, in a Mirror Image of the Great Emanations of the Pleroma, Hundreds of Lesser Angels
A R C H O N S HIDDEN RULERS THROUGH THE AGES A R C H O N S HIDDEN RULERS THROUGH THE AGES WATCH THIS IMPORTANT VIDEO UFOs, Aliens, and the Question of Contact MUST-SEE THE OCCULT REASON FOR PSYCHOPATHY Organic Portals: Aliens and Psychopaths KNOWLEDGE THROUGH GNOSIS Boris Mouravieff - GNOSIS IN THE BEGINNING ...1 The Gnostic core belief was a strong dualism: that the world of matter was deadening and inferior to a remote nonphysical home, to which an interior divine spark in most humans aspired to return after death. This led them to an absorption with the Jewish creation myths in Genesis, which they obsessively reinterpreted to formulate allegorical explanations of how humans ended up trapped in the world of matter. The basic Gnostic story, which varied in details from teacher to teacher, was this: In the beginning there was an unknowable, immaterial, and invisible God, sometimes called the Father of All and sometimes by other names. “He” was neither male nor female, and was composed of an implicitly finite amount of a living nonphysical substance. Surrounding this God was a great empty region called the Pleroma (the fullness). Beyond the Pleroma lay empty space. The God acted to fill the Pleroma through a series of emanations, a squeezing off of small portions of his/its nonphysical energetic divine material. In most accounts there are thirty emanations in fifteen complementary pairs, each getting slightly less of the divine material and therefore being slightly weaker. The emanations are called Aeons (eternities) and are mostly named personifications in Greek of abstract ideas. -
ETH Eidgenossische Technische Hochschule Zurich H.Eberle
ETH Eidgenossische lnstitut Technische fur lnformatik Hochschule ZUrich H.Eberle Hardware Description of the Workstation Ceres 11nuar 1987 ,70 70 . 61 .10 ETH Eidgenossische lnstitut Technische fur lnformatik Hochschule Zurich Eidrg. ~hn. ZI!rich lrricrm!!~!~:.~~lb;i::1H1a-k ETH~Zentrum CH..oo92 Zurich H.Eberle Hardware Description of the Workstation Ceres EidQ. lechn. He:ch'?~h'Jle Zilr\J::;!-: lnforme::!':.uib~iuthek El'l I-lei ili rn 11 CH-8002 ZOrtch gl,4-,23 Address of the author: lnstitut fiJr lnformatik ETH-Zentrum CH-8092 Zurich I Switzerland © 1987 lnstitut tor lnformatik, ETH Zurich 1 Hardware Description of the Workstation Ceres H.Eberle Abstract Ceres is a single-user computer based on the 32-bit microprocessor NS32000. The processor is oriented to the use of high-level languages. The hardware design concentrates on simplicity and modularity. The key features are the arbitrated memory bus and the high resolution bitmapped graphics display which promotes the attractivity of a programming workstation. This paper documents the hardware of the Ceres computer. 2 Contents 1 Introduction 3 2 Hardware Structure 4 2.1 Processor 4 2.2 Primary Memory 4 2.3 Secondary Memory 4 2.4 Input/Output Devices 4 3 Hardware Implementation 6 3.1 Processor Board 6 3.1.1 Processor 6 3.1.2 Memory Bus Arbiter 9 3.1.3 Boot ROM and Standard Input/Output Devices 12 3.2 Memory Board 15 3.3 Display Controller Board 18 3.3.1 Display Memory 18 3.3.2 Display Refresh Controller 19 3.4 Disk Controller Board 23 3.5 Motherboard 23 4 Hardware Extensions 24 References 26 Appendices A Circuit Diagrams 28 A.1 Processor Board 28 A.2 Memory Board 35 A.3 Display Controller Board 37 B PAL Design Specifications 42 c Interface Connectors 47 C.1 Processor Board 47 C.2 Display Controller Board 48 C.3 Motherboard 48 3 1 Introduction Todays working tools of a software engineer at the lnstitut fUr lnformatik of ETH ZOrich are the programming language Modula-2 [1] and the workstation computer Lilith [2]. -
The Zonnon Project: a .NET Language and Compiler Experiment
The Zonnon Project: A .NET Language and Compiler Experiment Jürg Gutknecht Vladimir Romanov Eugene Zueff Swiss Fed Inst of Technology Moscow State University Swiss Fed Inst of Technology (ETH) Computer Science Department (ETH) Zürich, Switzerland Moscow, Russia Zürich, Switzerland [email protected] [email protected] [email protected] ABSTRACT Zonnon is a new programming language that combines the style and the virtues of the Pascal family with a number of novel programming concepts and constructs. It covers a wide range of programming models from algorithms and data structures to interoperating active objects in a distributed system. In contrast to popular object-oriented languages, Zonnon propagates a symmetric compositional inheritance model. In this paper, we first give a brief overview of the language and then focus on the implementation of the compiler and builder on top of .NET, with a particular emphasis on the use of the MS Common Compiler Infrastructure (CCI). The Zonnon compiler is an interesting showcase for the .NET interoperability platform because it implements a non-trivial but still “natural” mapping from the language’s intrinsic object model to the underlying CLR. Keywords Oberon, Zonnon, Compiler, Common Compiler Infrastructure (CCI), Integration. 1. INTRODUCTION: THE BRIEF CCI and b) to experiment with evolutionary language HISTORY OF THE PROJECT concepts. The notion of active object was taken from the Active Oberon language [Gut01]. In addition, two This is a technical paper presenting and describing new concurrency mechanisms have been added: an the current state of the Zonnon project. Zonnon is an accompanying communication mechanism based on evolution of the Pascal, Modula, Oberon language syntax-oriented protocols , borrowed from the Active line [Wir88]. -
Latest Results from the Procedure Calling Test, Ackermann's Function
Latest results from the procedure calling test, Ackermann’s function B A WICHMANN National Physical Laboratory, Teddington, Middlesex Division of Information Technology and Computing March 1982 Abstract Ackermann’s function has been used to measure the procedure calling over- head in languages which support recursion. Two papers have been written on this which are reproduced1 in this report. Results from further measurements are in- cluded in this report together with comments on the data obtained and codings of the test in Ada and Basic. 1 INTRODUCTION In spite of the two publications on the use of Ackermann’s Function [1, 2] as a mea- sure of the procedure-calling efficiency of programming languages, there is still some interest in the topic. It is an easy test to perform and the large number of results ob- tained means that an implementation can be compared with many other systems. The purpose of this report is to provide a listing of all the results obtained to date and to show their relationship. Few modern languages do not provide recursion and hence the test is appropriate for measuring the overheads of procedure calls in most cases. Ackermann’s function is a small recursive function listed on page 2 of [1] in Al- gol 60. Although of no particular interest in itself, the function does perform other operations common to much systems programming (testing for zero, incrementing and decrementing integers). The function has two parameters M and N, the test being for (3, N) with N in the range 1 to 6. Like all tests, the interpretation of the results is not without difficulty.