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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. -
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. -
Modern Programming Languages CS508 Virtual University of Pakistan
Modern Programming Languages (CS508) VU Modern Programming Languages CS508 Virtual University of Pakistan Leaders in Education Technology 1 © Copyright Virtual University of Pakistan Modern Programming Languages (CS508) VU TABLE of CONTENTS Course Objectives...........................................................................................................................4 Introduction and Historical Background (Lecture 1-8)..............................................................5 Language Evaluation Criterion.....................................................................................................6 Language Evaluation Criterion...................................................................................................15 An Introduction to SNOBOL (Lecture 9-12).............................................................................32 Ada Programming Language: An Introduction (Lecture 13-17).............................................45 LISP Programming Language: An Introduction (Lecture 18-21)...........................................63 PROLOG - Programming in Logic (Lecture 22-26) .................................................................77 Java Programming Language (Lecture 27-30)..........................................................................92 C# Programming Language (Lecture 31-34) ...........................................................................111 PHP – Personal Home Page PHP: Hypertext Preprocessor (Lecture 35-37)........................129 Modern Programming Languages-JavaScript -
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. -
Language-Parametric Methods for Developing
Gabriël Ditmar Primo Konat was born in The Language-Parametric Methods for Developing Interactive Programming Systems Language-Parametric Methods for Developing Interactive Programming Hague, the Netherlands. In 2009, he received his BSc in Computer Science from the Institute of Ap- Invitation plied Sciences in Rijswijk. In 2012, he received his MSc in Computer Science from Delft University of Technology (TUDelft). From 2012 to 2018, he was Language-Parametric a Ph.D. student with the Programming Languages Methods for Developing group at TUDelft, under supervision of Eelco Viss- Interactive Programming er and Sebastian Erdweg. His work focuses on lan- Systems guage workbenches and incremental build systems. Gabriël Konat [email protected] You are cordially invited to the public defense of my dissertation on Monday, November 18th, 2019 at 3pm. At 2:30pm, I will give a brief presentation summarizing my dissertation. The defense will take place in the Senaatszaal of the Delft University of Technology Auditorium, Mekelweg 5, 2628 CC Delft, the Netherlands Afterwards, there will be a Gabriël Konat Language-Parametric Methods for reception. Developing Interactive Programming Systems Gabriël Konat Propositions accompanying the dissertation Language-Parametric Methods for Developing Interactive Programming Systems by Gabriël Ditmar Primo Konat 1. Language-parametric methods for developing interactive programming sys- tems are feasible and useful. (This dissertation) 2. Compilers of general-purpose languages must be bootstrapped with fixpoint bootstrapping. (This dissertation) 3. Manually implementing an incremental system must be avoided. (This dissertation) 4. Like chemists need lab assistants, computer scientists need software engineers to support them in research, teaching, and application in industry. 5. -
The Advent of Recursion in Programming, 1950S-1960S
The Advent of Recursion in Programming, 1950s-1960s Edgar G. Daylight?? Institute of Logic, Language, and Computation, University of Amsterdam, The Netherlands [email protected] Abstract. The term `recursive' has had different meanings during the past two centuries among various communities of scholars. Its historical epistemology has already been described by Soare (1996) with respect to the mathematicians, logicians, and recursive-function theorists. The computer practitioners, on the other hand, are discussed in this paper by focusing on the definition and implementation of the ALGOL60 program- ming language. Recursion entered ALGOL60 in two novel ways: (i) syn- tactically with what we now call BNF notation, and (ii) dynamically by means of the recursive procedure. As is shown, both (i) and (ii) were in- troduced by linguistically-inclined programmers who were not versed in logic and who, rather unconventionally, abstracted away from the down- to-earth practicalities of their computing machines. By the end of the 1960s, some computer practitioners had become aware of the theoreti- cal insignificance of the recursive procedure in terms of computability, though without relying on recursive-function theory. The presented re- sults help us to better understand the technological ancestry of modern- day computer science, in the hope that contemporary researchers can more easily build upon its past. Keywords: recursion, recursive procedure, computability, syntax, BNF, ALGOL, logic, recursive-function theory 1 Introduction In his paper, Computability and Recursion [41], Soare explained the origin of computability, the origin of recursion, and how both concepts were brought to- gether in the 1930s by G¨odel, Church, Kleene, Turing, and others. -
Edsger W. Dijkstra: a Commemoration
Edsger W. Dijkstra: a Commemoration Krzysztof R. Apt1 and Tony Hoare2 (editors) 1 CWI, Amsterdam, The Netherlands and MIMUW, University of Warsaw, Poland 2 Department of Computer Science and Technology, University of Cambridge and Microsoft Research Ltd, Cambridge, UK Abstract This article is a multiauthored portrait of Edsger Wybe Dijkstra that consists of testimo- nials written by several friends, colleagues, and students of his. It provides unique insights into his personality, working style and habits, and his influence on other computer scientists, as a researcher, teacher, and mentor. Contents Preface 3 Tony Hoare 4 Donald Knuth 9 Christian Lengauer 11 K. Mani Chandy 13 Eric C.R. Hehner 15 Mark Scheevel 17 Krzysztof R. Apt 18 arXiv:2104.03392v1 [cs.GL] 7 Apr 2021 Niklaus Wirth 20 Lex Bijlsma 23 Manfred Broy 24 David Gries 26 Ted Herman 28 Alain J. Martin 29 J Strother Moore 31 Vladimir Lifschitz 33 Wim H. Hesselink 34 1 Hamilton Richards 36 Ken Calvert 38 David Naumann 40 David Turner 42 J.R. Rao 44 Jayadev Misra 47 Rajeev Joshi 50 Maarten van Emden 52 Two Tuesday Afternoon Clubs 54 2 Preface Edsger Dijkstra was perhaps the best known, and certainly the most discussed, computer scientist of the seventies and eighties. We both knew Dijkstra |though each of us in different ways| and we both were aware that his influence on computer science was not limited to his pioneering software projects and research articles. He interacted with his colleagues by way of numerous discussions, extensive letter correspondence, and hundreds of so-called EWD reports that he used to send to a select group of researchers. -
9. Optimization
9. Optimization Marcus Denker Optimization Roadmap > Introduction > Optimizations in the Back-end > The Optimizer > SSA Optimizations > Advanced Optimizations © Marcus Denker 2 Optimization Roadmap > Introduction > Optimizations in the Back-end > The Optimizer > SSA Optimizations > Advanced Optimizations © Marcus Denker 3 Optimization Optimization: The Idea > Transform the program to improve efficiency > Performance: faster execution > Size: smaller executable, smaller memory footprint Tradeoffs: 1) Performance vs. Size 2) Compilation speed and memory © Marcus Denker 4 Optimization No Magic Bullet! > There is no perfect optimizer > Example: optimize for simplicity Opt(P): Smallest Program Q: Program with no output, does not stop Opt(Q)? © Marcus Denker 5 Optimization No Magic Bullet! > There is no perfect optimizer > Example: optimize for simplicity Opt(P): Smallest Program Q: Program with no output, does not stop Opt(Q)? L1 goto L1 © Marcus Denker 6 Optimization No Magic Bullet! > There is no perfect optimizer > Example: optimize for simplicity Opt(P): Smallest ProgramQ: Program with no output, does not stop Opt(Q)? L1 goto L1 Halting problem! © Marcus Denker 7 Optimization Another way to look at it... > Rice (1953): For every compiler there is a modified compiler that generates shorter code. > Proof: Assume there is a compiler U that generates the shortest optimized program Opt(P) for all P. — Assume P to be a program that does not stop and has no output — Opt(P) will be L1 goto L1 — Halting problem. Thus: U does not exist. > There will -
Value Numbering
SOFTWARE—PRACTICE AND EXPERIENCE, VOL. 0(0), 1–18 (MONTH 1900) Value Numbering PRESTON BRIGGS Tera Computer Company, 2815 Eastlake Avenue East, Seattle, WA 98102 AND KEITH D. COOPER L. TAYLOR SIMPSON Rice University, 6100 Main Street, Mail Stop 41, Houston, TX 77005 SUMMARY Value numbering is a compiler-based program analysis method that allows redundant computations to be removed. This paper compares hash-based approaches derived from the classic local algorithm1 with partitioning approaches based on the work of Alpern, Wegman, and Zadeck2. Historically, the hash-based algorithm has been applied to single basic blocks or extended basic blocks. We have improved the technique to operate over the routine’s dominator tree. The partitioning approach partitions the values in the routine into congruence classes and removes computations when one congruent value dominates another. We have extended this technique to remove computations that define a value in the set of available expressions (AVA IL )3. Also, we are able to apply a version of Morel and Renvoise’s partial redundancy elimination4 to remove even more redundancies. The paper presents a series of hash-based algorithms and a series of refinements to the partitioning technique. Within each series, it can be proved that each method discovers at least as many redundancies as its predecessors. Unfortunately, no such relationship exists between the hash-based and global techniques. On some programs, the hash-based techniques eliminate more redundancies than the partitioning techniques, while on others, partitioning wins. We experimentally compare the improvements made by these techniques when applied to real programs. These results will be useful for commercial compiler writers who wish to assess the potential impact of each technique before implementation. -
Language and Compiler Support for Dynamic Code Generation by Massimiliano A
Language and Compiler Support for Dynamic Code Generation by Massimiliano A. Poletto S.B., Massachusetts Institute of Technology (1995) M.Eng., Massachusetts Institute of Technology (1995) Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 1999 © Massachusetts Institute of Technology 1999. All rights reserved. A u th or ............................................................................ Department of Electrical Engineering and Computer Science June 23, 1999 Certified by...............,. ...*V .,., . .* N . .. .*. *.* . -. *.... M. Frans Kaashoek Associate Pro essor of Electrical Engineering and Computer Science Thesis Supervisor A ccepted by ................ ..... ............ ............................. Arthur C. Smith Chairman, Departmental CommitteA on Graduate Students me 2 Language and Compiler Support for Dynamic Code Generation by Massimiliano A. Poletto Submitted to the Department of Electrical Engineering and Computer Science on June 23, 1999, in partial fulfillment of the requirements for the degree of Doctor of Philosophy Abstract Dynamic code generation, also called run-time code generation or dynamic compilation, is the cre- ation of executable code for an application while that application is running. Dynamic compilation can significantly improve the performance of software by giving the compiler access to run-time infor- mation that is not available to a traditional static compiler. A well-designed programming interface to dynamic compilation can also simplify the creation of important classes of computer programs. Until recently, however, no system combined efficient dynamic generation of high-performance code with a powerful and portable language interface. This thesis describes a system that meets these requirements, and discusses several applications of dynamic compilation. -
Editors/Translators Foreword
J Comput Virol (2009) 5:1–3 DOI 10.1007/s11416-008-0116-y EDITORIAL Editors/translators Foreword Daniel Bilar · Eric Filiol © Springer-Verlag France 2009 Bereishit In the beginning, there was bureaucracy. I had tried a feeling of nostalgia (and gratitude for Donald Knuth). I set to get major AV companies to give me malware samples to it aside till Christmas break. study in an academic setting, but to no avail: Liability rea- As I worked my way through the thesis over Christmas sons, and their suggestion—trekking back and forth to their break 2006, my cursory curiosity gave way to wonderment, corporate ‘clean’ room—was unpalatable to me. I like flat then awe, then electricity. I felt as if I had stumbled upon hierarchies, so I turned to herm1t. Herm1t runs (singlehand- a 10th century manuscript in an Scottish convent, delineat- edly, with minimal equipment and funds) the labour of love ing the calculus seven hundred years before Leibnitz and known as vxheavens (http://vx.netlux.org), a full-spectrum Newton. Aspects of the history of computer virology had to site dedicated to computer viruses. As quid pro quo, I sent be rewritten and proper due given- what a fortuitous find! him historical papers he sought for his collection. One title, I sent a printed snail mail copy off to herm1t in the Ukraine though, seemed out of reach: A German 1980 MSc thesis by and pondered my next steps. some fellow named Juergen Kraus. In early February, Eric Filiol, after having discovered an A hefty Dortmund package arrived late October 2006.