A Brief History of the Computer
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COM 113 INTRO to COMPUTER PROGRAMMING Theory Book
1 [Type the document title] UNESCO -NIGERIA TECHNICAL & VOCATIONAL EDUCATION REVITALISATION PROJECT -PHASE II NATIONAL DIPLOMA IN COMPUTER TECHNOLOGY Computer Programming COURSE CODE: COM113 YEAR I - SE MESTER I THEORY Version 1: December 2008 2 [Type the document title] Table of Contents WEEK 1 Concept of programming ................................................................................................................ 6 Features of a good computer program ............................................................................................ 7 System Development Cycle ............................................................................................................ 9 WEEK 2 Concept of Algorithm ................................................................................................................... 11 Features of an Algorithm .............................................................................................................. 11 Methods of Representing Algorithm ............................................................................................ 11 Pseudo code .................................................................................................................................. 12 WEEK 3 English-like form .......................................................................................................................... 15 Flowchart ..................................................................................................................................... -
Control Theory
Control theory S. Simrock DESY, Hamburg, Germany Abstract In engineering and mathematics, control theory deals with the behaviour of dynamical systems. The desired output of a system is called the reference. When one or more output variables of a system need to follow a certain ref- erence over time, a controller manipulates the inputs to a system to obtain the desired effect on the output of the system. Rapid advances in digital system technology have radically altered the control design options. It has become routinely practicable to design very complicated digital controllers and to carry out the extensive calculations required for their design. These advances in im- plementation and design capability can be obtained at low cost because of the widespread availability of inexpensive and powerful digital processing plat- forms and high-speed analog IO devices. 1 Introduction The emphasis of this tutorial on control theory is on the design of digital controls to achieve good dy- namic response and small errors while using signals that are sampled in time and quantized in amplitude. Both transform (classical control) and state-space (modern control) methods are described and applied to illustrative examples. The transform methods emphasized are the root-locus method of Evans and fre- quency response. The state-space methods developed are the technique of pole assignment augmented by an estimator (observer) and optimal quadratic-loss control. The optimal control problems use the steady-state constant gain solution. Other topics covered are system identification and non-linear control. System identification is a general term to describe mathematical tools and algorithms that build dynamical models from measured data. -
Defining Computer Program Parts Under Learned Hand's Abstractions Test in Software Copyright Infringement Cases
Michigan Law Review Volume 91 Issue 3 1992 Defining Computer Program Parts Under Learned Hand's Abstractions Test in Software Copyright Infringement Cases John W.L. Ogilive University of Michigan Law School Follow this and additional works at: https://repository.law.umich.edu/mlr Part of the Computer Law Commons, Intellectual Property Law Commons, and the Judges Commons Recommended Citation John W. Ogilive, Defining Computer Program Parts Under Learned Hand's Abstractions Test in Software Copyright Infringement Cases, 91 MICH. L. REV. 526 (1992). Available at: https://repository.law.umich.edu/mlr/vol91/iss3/5 This Note is brought to you for free and open access by the Michigan Law Review at University of Michigan Law School Scholarship Repository. It has been accepted for inclusion in Michigan Law Review by an authorized editor of University of Michigan Law School Scholarship Repository. For more information, please contact [email protected]. NOTE Defining Computer Program Parts Under Learned Hand's Abstractions Test in Software Copyright Infringement Cases John W.L. Ogilvie INTRODUCTION Although computer programs enjoy copyright protection as pro tectable "literary works" under the federal copyright statute, 1 the case law governing software infringement is confused, inconsistent, and even unintelligible to those who must interpret it.2 A computer pro gram is often viewed as a collection of different parts, just as a book or play is seen as an amalgamation of plot, characters, and other familiar parts. However, different courts recognize vastly different computer program parts for copyright infringement purposes. 3 Much of the dis array in software copyright law stems from mutually incompatible and conclusory program part definitions that bear no relation to how a computer program is actually designed and created. -
'A Superb Explanatory Device': the MONIAC, an Early Hydraulic Analog Computer
‘A superb explanatory device’ The MONIAC, an early hydraulic analog computer Anna Corkhill Since 1953, the University of when it was rediscovered, partially rubber tubing and powered by a Melbourne has owned a rare restored and given a position in a mechanical pump. (In the prototype, machine: a hydraulic analog simple display case on level 1 of the the pump’s motor was recycled from computer capable of explaining the Economics and Commerce Building. a World War II Lancaster bomber, economy and performing complex The machine has recently been but the university’s MONIAC economic calculations. It is generally moved to the entrance of the new was commercially made.) It is known as the MONIAC (which Giblin Eunson Business, Economics approximately two metres high and stands for ‘MOnetary National and Education Library in the ICT one metre wide, with a metal backing Income Analog Computer’), Building, 111 Barry Street. enclosing the machine’s pump and though it has also been called Though a reasonably accurate connecting tubing. The machine has the ‘Financephalograph’, the computational device, the MONIAC’s three main water tanks, representing ‘National Income Monetary Flow key aim was to demonstrate taxes and government spending, Demonstrator’ and simply the Keynesian economic models in a savings and investment, and import– ‘Phillips Machine’, after its inventor, clear, visual way. As a pedagogical aid, export. The ‘active balances’ tank at Bill Phillips. The machine, one of it used coloured water to represent the bottom represents the total stock approximately 12 ever created, was money flowing through the economy, of currency and bank credit in the purchased by the Department of and showed the relationships between economy at any given time. -
Language Translators
Student Notes Theory LANGUAGE TRANSLATORS A. HIGH AND LOW LEVEL LANGUAGES Programming languages Low – Level Languages High-Level Languages Example: Assembly Language Example: Pascal, Basic, Java Characteristics of LOW Level Languages: They are machine oriented : an assembly language program written for one machine will not work on any other type of machine unless they happen to use the same processor chip. Each assembly language statement generally translates into one machine code instruction, therefore the program becomes long and time-consuming to create. Example: 10100101 01110001 LDA &71 01101001 00000001 ADD #&01 10000101 01110001 STA &71 Characteristics of HIGH Level Languages: They are not machine oriented: in theory they are portable , meaning that a program written for one machine will run on any other machine for which the appropriate compiler or interpreter is available. They are problem oriented: most high level languages have structures and facilities appropriate to a particular use or type of problem. For example, FORTRAN was developed for use in solving mathematical problems. Some languages, such as PASCAL were developed as general-purpose languages. Statements in high-level languages usually resemble English sentences or mathematical expressions and these languages tend to be easier to learn and understand than assembly language. Each statement in a high level language will be translated into several machine code instructions. Example: number:= number + 1; 10100101 01110001 01101001 00000001 10000101 01110001 B. GENERATIONS OF PROGRAMMING LANGUAGES 4th generation 4GLs 3rd generation High Level Languages 2nd generation Low-level Languages 1st generation Machine Code Page 1 of 5 K Aquilina Student Notes Theory 1. MACHINE LANGUAGE – 1ST GENERATION In the early days of computer programming all programs had to be written in machine code. -
Analog Computer on a Chip – Compiling Solutions
Analog Computer on a Chip – Compiling Solutions John Milios Nicolas Clauvelin Sendyne Corp. Sendyne Corp. New York, NY, USA New York, NY, USA [email protected] [email protected] Abstract --- The original room-sized analog computers of the sometimes if, they converge to a solution. The Columbia 1950s were programmed using paper drawings and manual cable University team, lead by Professor Yannis Tsividis, revisited the connections. The Apollo IC is the first digitally programmed analog old idea of analog computing and re-invented it using today’s computer, implemented in a 4x4 mm2 CMOS IC and capable of CMOS analog technology. The result was what we now call the solving problems with high speed and extremely low power. The Apollo IC, the first integrated, digitally programmable general high level programming language of an analog computer consists purpose analog computer (GPAC) chip [2] and associated of the differential equations describing the system to be simulated. computer board. Sendyne, through an exclusive license from The solution to each programmed model is achieved by the proper Columbia University used this technology to build the SA100, interconnection and calibration of the analog computer elements a digitally controlled analog computer that can be programmed in such a way as to implement the aforementioned differential and exchange data with a digital computer through a USB port equations. Deducing from the equations the right interconnections [3]. and implementing these in the analog computer circuitry is the role of an analog computer compiler. Such a compiler has been During the same period researchers at MIT started developed for the first time by MIT researchers for the Apollo IC investigating suitability of analog computing elements in analog computer. -
13. Stored-Program Computers
13. Stored-Program Computers 13.1 Introduction This chapter concentrates on the low-level usage and structure of stored program computers. We focus on a particular hypothetical machine known as the ISC, describing its programming in assembly language. We show how recursion and switch statements are compiled into machine language, and how memory-mapped overlapped I/O is achieved. We also show the logic implement of the ISC, in terms of registers, buses, and finite-state machine controllers. 13.2 Programmer's Abstraction for a Stored-Program Computer By stored-program computer, we mean a machine in which the program, as well as the data, are stored in memory, each word of which can be accessed in uniform time. Most of the high-level language programming the reader has done will likely have used this kind of computer implicitly. However, the program that is stored is not high-level language text. If it were, then it would be necessary to constantly parse this text, which would slow down execution immensely. Instead one of two other forms of storage is used: An abstract syntax representation of the program could be stored. The identifiers in this representation are pre-translated, and the structure is traversed dynamically as needed during execution. This is the approach used by an interpreter for the language. A second approach is to use a compiler for the language. The compiler translates the program into the very low-level language native to the machine, appropriately called machine language. The native machine language acts as a least-common-denominator language for the computer. -
Programming Fundamentals - I Basic Concepts Fall-Semester 2016
Programming Fundamentals - I Basic Concepts Fall-Semester 2016 Prepared By: Rao Muhammad Umer Lecturer, Web: raoumer.github.io Department of Computer Science & IT, The University of Lahore. What is computer? The term "computer" was originally given to humans who performed numerical calculations using mechanical calculators, such as the abacus and slide rule. The term was later given to a mechanical device as they began replacing the human computers. Today's computers are electronic devices that accept data such as numbers, text, sound, image, animations, video, etc., (input), process that data (converts data to information) , produce output, and then store (storage) the results. A basic computer consists of 4 components: 1. Input devices 2. Central Processing Unit or CPU 3. Output devices 4. Memory Input Devices are used to provide input to the computer basic input devices include keyboard, mouse, touch screens etc. Central Processing Unit acts like a brain, it processes all instructions and data in the computer, the instructions are computer commands, these commands are given to CPU by input devices, some of the instructions are generated by the computer itself Output devices are used to receive computer output, the output, some basic output devices are hard drive disk (HDD, commonly known as hard disk), printers, computer screens (Monitors and LCDs) The computer memory is a temporary storage area. It holds the data and instructions that the Central Processing Unit (CPU) needs. Before a program can be run, the program is loaded from some storage device such as into the memory, the CPU loads the program or part of the program from the memory and executes it. -
Introduction to Computer Programming
Introduction to Computer Programming CISC1600/1610 Computer Science I/Lab Spring 2016 CISC1600 Yanjun Li 1 Outline This Course Computer Programming Spring 2016 CISC1600 Yanjun Li 2 1 This is a course In Programming For beginners who want to become professionals or who would like to know something about programming who are assumed to be bright Though not (necessarily) geniuses who are willing to work hard Though do need sleep occasionally, and take a normal course load Using the C++ programming language Spring 2016 CISC1600 Yanjun Li 3 Learning Goals Learn Fundamental programming concepts Key useful techniques Basic Standard C++ facilities After the course, you’ll be able to Write small sound C++ programs Read much larger programs Learn the basics of many other languages by yourself Proceed with an “advanced” C++ programming course After the course, you will not (yet) be An expert programmer A C++ language expert An expert user of advanced libraries Spring 2016 CISC1600 Yanjun Li 4 2 The Means Lectures Attend every one Outside of lectures Read a chapter ahead, and read the chapter again after each lecture Read actively: with questions in mind, try to reorganize/rephrase the key points in your mind Review questions/Terms in chapters Drills Always do the drills, before the exercises Exercises Spring 2016 CISC1600 Yanjun Li 5 The Means (Cont.) Lab projects That’s where the most fun and the best learning takes place Don’t wait until lab section to start the project Start to think about the project early Finish up & get help during labs Exams Midterms Final Spring 2016 CISC1600 Yanjun Li 6 3 How to be Successful? Don’t study alone when you don’t have to Form study groups Do help each other (without plagiarizing) If in doubt if a collaboration is legitimate: ask! Don’t claim to have written code that you copied from others Don’t give anyone else your code (to hand in for a grade) When you rely on the work of others, explicitly list all of your sources – i.e. -
Computing Science Technical Report No. 99 a History of Computing Research* at Bell Laboratories (1937-1975)
Computing Science Technical Report No. 99 A History of Computing Research* at Bell Laboratories (1937-1975) Bernard D. Holbrook W. Stanley Brown 1. INTRODUCTION Basically there are two varieties of modern electrical computers, analog and digital, corresponding respectively to the much older slide rule and abacus. Analog computers deal with continuous information, such as real numbers and waveforms, while digital computers handle discrete information, such as letters and digits. An analog computer is limited to the approximate solution of mathematical problems for which a physical analog can be found, while a digital computer can carry out any precisely specified logical proce- dure on any symbolic information, and can, in principle, obtain numerical results to any desired accuracy. For these reasons, digital computers have become the focal point of modern computer science, although analog computing facilities remain of great importance, particularly for specialized applications. It is no accident that Bell Labs was deeply involved with the origins of both analog and digital com- puters, since it was fundamentally concerned with the principles and processes of electrical communication. Electrical analog computation is based on the classic technology of telephone transmission, and digital computation on that of telephone switching. Moreover, Bell Labs found itself, by the early 1930s, with a rapidly growing load of design calculations. These calculations were performed in part with slide rules and, mainly, with desk calculators. The magnitude of this load of very tedious routine computation and the necessity of carefully checking it indicated a need for new methods. The result of this need was a request in 1928 from a design department, heavily burdened with calculations on complex numbers, to the Mathe- matical Research Department for suggestions as to possible improvements in computational methods. -
Lecture 1: Introduction to Java®
Lecture 1: Introduction to Java MIT-AITI Kenya 2005 1 Lecture Outline • What a computer program is • How to write a computer program • The disadvantages and advantages of using Java • How a program that you write in Java is changed into a form that your computer can understand • Sample Java code and comments MIT-Africa Internet Technology Initiative ©2005 2 Computer Program vs. Food Recipe Food Recipe Computer Program A chef writes a set of A programmer writes a set of instructions called a recipe instructions called a program The recipe requires specific The program requires specific ingredients inputs The cook follows the The computer follows the instructions step-by-step instructions step-by-step The food will vary depending on The output will vary depending the amount of ingredients and on the values of the inputs and the cook the computer MIT-Africa Internet Technology Initiative ©2005 3 Recipe and Program Examples Student’s Student’s Ingredient # 1 Ingredient # 2 Name Grade Recipe Program Dinner “Bilha got an A on the exam!” MIT-Africa Internet Technology Initiative ©2005 4 What is a computer program? • For a computer to be able to perform specific tasks (i.e. print what grade a student got on an exam), it must be given instructions to do the task • The set of instructions that tells the computer to perform specific tasks is known as a computer program MIT-Africa Internet Technology Initiative ©2005 5 Writing Computer Programs • We write computer programs (i.e. a set of instructions) in programming languages such as C, Pascal, and -
Analog Computation and Representation
Analog Computation and Representation Corey J. Maley forthcoming in The British Journal for the Philosophy of Science Abstract Relative to digital computation, analog computation has been neglected in the philosophical literature. To the extent that attention has been paid to analog computation, it has been misunderstood. The received view—that analog computation has to do essentially with continuity—is simply wrong, as shown by careful attention to historical examples of discontinuous, discrete analog computers. Instead of the received view, I develop an account of analog computation in terms of a particular type of analog representation that allows for discontinuity. This account thus characterizes all types of analog computation, whether continuous or discrete. Furthermore, the structure of this account can be generalized to other types of computation: analog computation essentially involves analog representation, whereas digital computation essentially involves digital representation. Besides being a necessary component of a complete philosophical understanding of computation in general, understanding analog computation is important for computational explanation in contemporary neuroscience and cognitive science. Those damn digital computers! Vannevar Bush, MIT 1 Introduction 2 Analog Computers 2.1 Mechanical analog computers 2.2 Electronic analog computers 2.3 Discontinuous analog elements 3 What makes analog computation ‘analog’ and ‘computational’ 3.1 Analog as continuity 3.2 Analog as covariation 3.3 What makes it ‘analog’ 3.4 What makes it ‘computation’ 4 Questions and Objections 4.1 Aren’t these just hybrid computers? 4.2 Is this really even computation? 4.3 The Lewis-Maley account is problematic 5 Concluding thoughts 1 Introduction Like clocks and audio recordings, computation comes in both digital and analog varieties.