Mathematics Learning

Total Page:16

File Type:pdf, Size:1020Kb

Mathematics Learning 1 Key understandings in mathematics learning Paper 1: Overview By Terezinha Nunes, Peter Bryant and Anne Watson, University of Oxford A review commissioned by the Nuffield Foundation 2 PaperSUMMARY 1: Overview – PAPER 2: Understanding whole numbers About this review In 2007, the Nuffield Foundation commissioned a Contents team from the University of Oxford to review the available research literature on how children learn Summary of findings 3 mathematics. The resulting review is presented in a series of eight papers: Overview 10 Paper 1: Overview References 36 Paper 2: Understanding extensive quantities and whole numbers Paper 3: Understanding rational numbers and intensive quantities About the authors Paper 4: Understanding relations and their graphical Terezinha Nunes is Professor of Educational representation Studies at the University of Oxford. Paper 5: Understanding space and its representation Peter Bryant is Senior Research Fellow in the in mathematics Department of Education, University of Oxford. Paper 6: Algebraic reasoning Anne Watson is Professor of Mathematics Paper 7: Modelling, problem-solving and integrating Education at the University of Oxford. concepts Paper 8: Methodological appendix About the Nuffield Foundation Papers 2 to 5 focus mainly on mathematics relevant The Nuffield Foundation is an endowed to primary schools (pupils to age 11 y ears), while charitable trust established in 1943 by William papers 6 and 7 consider aspects of mathematics Morris (Lord Nuffield), the founder of Morris in secondary schools. Motors, with the aim of advancing social w ell being. We fund research and pr actical Paper 1 includes a summar y of the review, which experiment and the development of capacity has been published separately as Introduction and to undertake them; working across education, summary of findings. science, social science and social policy. While most of the Foundation’s expenditure is on Summaries of papers 1-7 have been published responsive grant programmes we also together as Summary papers. undertake our own initiatives. All publications are available to download from our website, www.nuffieldfoundation.org 3 Key understandings in mathematics lear ning Summary of findings Aims Our aim in the review is to present a synthesis Pragmatic theories are usually not tested for their of research on mathematics lear ning by children consistency with empirical evidence, nor examined from the age of five to the age of sixteen years for the parsimony of their explanations vis-à-vis other and to identify the issues that are fundamental to existing theories; instead they are assessed in m ultiple understanding children’s mathematics learning. In contexts for their descriptive power, their credibility doing so, we concentrated on three main questions and their effectiveness in practice. regarding key understandings in mathematics. • What insights must students have in order to Our starting point in the review is that children need understand basic mathematical concepts? to learn about quantities and the relations between • What are the sources of these insights and how them and about mathematical symbols and their does informal mathematics knowledge meanings. These meanings are based on sets of relate to school learning of mathematics? relations. Mathematics teaching should aim to ensure • What understandings must students have in that students’ understanding of quantities, relations order to build new mathematical ideas using and symbols go together. basic concepts? Conclusions Theoretical framework This theoretical approach underlies the six main While writing the review, we concluded that there sections of the review. We now summarise the main are two distinct types of theor y about how children conclusions of each of these sections. learn mathematics. Explanatory theories set out to explain how Whole numbers children’s mathematical thinking and knowledge • Whole numbers represent both quantities and change. These theories are based on empir ical relations between quantities, such as differences research on children’s solutions to mathematical and ratio. Primary school children must establish problems as well as on experimental and longitudinal clear connections between numbers, quantities studies. Successful theories of this sor t should and relations. provide insight into the causes of children’s mathematical development and worthwhile • Children’s initial understanding of quantitative suggestions about teaching and lear ning mathematics. relations is largely based on correspondence. One-to-one correspondence underlies their Pragmatic theories set out to investigate what children understanding of cardinality, and one-to-many ought to learn and understand and also identify correspondence gives them their first insights obstacles to learning in formal educational settings. into multiplicative relations. Children should be 4 PaperSUMMARY 1: Overview – PAPER 2: Understanding whole numbers encouraged to think of number in terms of these • Two types of quantities that are taught in relations. primary school must be represented by fractions. The first involves measurement: if you want to • Children start school with varying levels of represent a quantity by means of a number ability in using different action schemes to solve and the quantity is smaller than the unit of arithmetic problems in the context of stor ies. measurement, you need a fraction; for example, They do not need to know arithmetic facts to a half cup or a quar ter inch. The second involves solve these problems: they count in different division: if the dividend is smaller than the divisor, ways depending on whether the problems they the result of the division is represented b y a are solving involve the ideas of addition, fraction; for example, three chocolates shared subtraction, multiplication or division. among four children. • Individual differences in the use of action • Children use different schemes of action in these schemes to solve problems predict children’s two different situations. In division situations, they progress in learning mathematics in school. use correspondences between the units in the numerator and the units in the denominator. In • Interventions that help children lear n to use their measurement situations, they use par titioning. action schemes to solve problems lead to better learning of mathematics in school. • Children are more successful in under standing equivalence of fractions and in ordering fractions • It is more difficult for children to use numbers to by magnitude in situations that involve division represent relations than to represent quantities. than in measurement situations. • It is crucial for children’s understanding of fractions Implications for the classroom that they learn about fractions in both types of Teaching should make it possible for children to: situation: most do not spontaneously transfer what • connect their knowledge of counting with their they learned in one situation to the other. knowledge of quantities • understand additive composition and one-to- • When a fraction is used to represent a quantity, many correspondence children need to learn to think about how the • understand the inverse relation between addition numerator and the denominator relate to the and subtraction value represented by the fraction. They must think • solve problems that involve these key about direct and inverse relations: the larger the understandings numerator, the larger the quantity, but the larger • develop their multiplicative understanding the denominator, the smaller the quantity. alongside additive reasoning. • Like whole numbers, fractions can be used to represent quantities and relations between Implications for further research quantities, but they are rarely used to represent Long-term longitudinal and intervention studies relations in primary school. Older students often with large samples are needed to suppor t curriculum find it difficult to use fractions to represent relations. development and policy changes aimed at implementing these objectives. There is also a need for studies designed to promote children’s Implications for the classroom competence in solving problems about relations. Teaching should make it possible for children to: • use their understanding of quantities in division situations to understand equivalence and order Fractions of fractions • Fractions are used in pr imary school to represent • make links between different types of reasoning quantities that cannot be represented by a single in division and measurement situations whole number. As with whole numbers, children • make links between understanding fractional need to make connections between quantities quantities and procedures and their representations in fr actions in order to • learn to use fractions to represent relations be able to use fractions meaningfully. between quantities, as well as quantities. 5 Key understandings in mathematics lear ning Implications for further research situations.This alternative approach has also not Evidence from experimental studies with larger been systematically assessed yet. samples and long-term interventions in the classroom are needed to establish how division situations relate • There is no research that compares the results to learning fractions. Investigations on how links of these diametrically opposed ideas. between situations can be built are needed to suppor t curriculum development and classroom teaching. Implications for the classroom There is also a need f or longitudinal
Recommended publications
  • Frequently Asked Questions in Mathematics
    Frequently Asked Questions in Mathematics The Sci.Math FAQ Team. Editor: Alex L´opez-Ortiz e-mail: [email protected] Contents 1 Introduction 4 1.1 Why a list of Frequently Asked Questions? . 4 1.2 Frequently Asked Questions in Mathematics? . 4 2 Fundamentals 5 2.1 Algebraic structures . 5 2.1.1 Monoids and Groups . 6 2.1.2 Rings . 7 2.1.3 Fields . 7 2.1.4 Ordering . 8 2.2 What are numbers? . 9 2.2.1 Introduction . 9 2.2.2 Construction of the Number System . 9 2.2.3 Construction of N ............................... 10 2.2.4 Construction of Z ................................ 10 2.2.5 Construction of Q ............................... 11 2.2.6 Construction of R ............................... 11 2.2.7 Construction of C ............................... 12 2.2.8 Rounding things up . 12 2.2.9 What’s next? . 12 3 Number Theory 14 3.1 Fermat’s Last Theorem . 14 3.1.1 History of Fermat’s Last Theorem . 14 3.1.2 What is the current status of FLT? . 14 3.1.3 Related Conjectures . 15 3.1.4 Did Fermat prove this theorem? . 16 3.2 Prime Numbers . 17 3.2.1 Largest known Mersenne prime . 17 3.2.2 Largest known prime . 17 3.2.3 Largest known twin primes . 18 3.2.4 Largest Fermat number with known factorization . 18 3.2.5 Algorithms to factor integer numbers . 18 3.2.6 Primality Testing . 19 3.2.7 List of record numbers . 20 3.2.8 What is the current status on Mersenne primes? .
    [Show full text]
  • Chapter 7 Expressions and Assignment Statements
    Chapter 7 Expressions and Assignment Statements Chapter 7 Topics Introduction Arithmetic Expressions Overloaded Operators Type Conversions Relational and Boolean Expressions Short-Circuit Evaluation Assignment Statements Mixed-Mode Assignment Chapter 7 Expressions and Assignment Statements Introduction Expressions are the fundamental means of specifying computations in a programming language. To understand expression evaluation, need to be familiar with the orders of operator and operand evaluation. Essence of imperative languages is dominant role of assignment statements. Arithmetic Expressions Their evaluation was one of the motivations for the development of the first programming languages. Most of the characteristics of arithmetic expressions in programming languages were inherited from conventions that had evolved in math. Arithmetic expressions consist of operators, operands, parentheses, and function calls. The operators can be unary, or binary. C-based languages include a ternary operator, which has three operands (conditional expression). The purpose of an arithmetic expression is to specify an arithmetic computation. An implementation of such a computation must cause two actions: o Fetching the operands from memory o Executing the arithmetic operations on those operands. Design issues for arithmetic expressions: 1. What are the operator precedence rules? 2. What are the operator associativity rules? 3. What is the order of operand evaluation? 4. Are there restrictions on operand evaluation side effects? 5. Does the language allow user-defined operator overloading? 6. What mode mixing is allowed in expressions? Operator Evaluation Order 1. Precedence The operator precedence rules for expression evaluation define the order in which “adjacent” operators of different precedence levels are evaluated (“adjacent” means they are separated by at most one operand).
    [Show full text]
  • Operators and Expressions
    UNIT – 3 OPERATORS AND EXPRESSIONS Lesson Structure 3.0 Objectives 3.1 Introduction 3.2 Arithmetic Operators 3.3 Relational Operators 3.4 Logical Operators 3.5 Assignment Operators 3.6 Increment and Decrement Operators 3.7 Conditional Operator 3.8 Bitwise Operators 3.9 Special Operators 3.10 Arithmetic Expressions 3.11 Evaluation of Expressions 3.12 Precedence of Arithmetic Operators 3.13 Type Conversions in Expressions 3.14 Operator Precedence and Associability 3.15 Mathematical Functions 3.16 Summary 3.17 Questions 3.18 Suggested Readings 3.0 Objectives After going through this unit you will be able to: Define and use different types of operators in Java programming Understand how to evaluate expressions? Understand the operator precedence and type conversion And write mathematical functions. 3.1 Introduction Java supports a rich set of operators. We have already used several of them, such as =, +, –, and *. An operator is a symbol that tells the computer to perform certain mathematical or logical manipulations. Operators are used in programs to manipulate data and variables. They usually form a part of mathematical or logical expressions. Java operators can be classified into a number of related categories as below: 1. Arithmetic operators 2. Relational operators 1 3. Logical operators 4. Assignment operators 5. Increment and decrement operators 6. Conditional operators 7. Bitwise operators 8. Special operators 3.2 Arithmetic Operators Arithmetic operators are used to construct mathematical expressions as in algebra. Java provides all the basic arithmetic operators. They are listed in Tabled 3.1. The operators +, –, *, and / all works the same way as they do in other languages.
    [Show full text]
  • ARM Instruction Set
    4 ARM Instruction Set This chapter describes the ARM instruction set. 4.1 Instruction Set Summary 4-2 4.2 The Condition Field 4-5 4.3 Branch and Exchange (BX) 4-6 4.4 Branch and Branch with Link (B, BL) 4-8 4.5 Data Processing 4-10 4.6 PSR Transfer (MRS, MSR) 4-17 4.7 Multiply and Multiply-Accumulate (MUL, MLA) 4-22 4.8 Multiply Long and Multiply-Accumulate Long (MULL,MLAL) 4-24 4.9 Single Data Transfer (LDR, STR) 4-26 4.10 Halfword and Signed Data Transfer 4-32 4.11 Block Data Transfer (LDM, STM) 4-37 4.12 Single Data Swap (SWP) 4-43 4.13 Software Interrupt (SWI) 4-45 4.14 Coprocessor Data Operations (CDP) 4-47 4.15 Coprocessor Data Transfers (LDC, STC) 4-49 4.16 Coprocessor Register Transfers (MRC, MCR) 4-53 4.17 Undefined Instruction 4-55 4.18 Instruction Set Examples 4-56 ARM7TDMI-S Data Sheet 4-1 ARM DDI 0084D Final - Open Access ARM Instruction Set 4.1 Instruction Set Summary 4.1.1 Format summary The ARM instruction set formats are shown below. 3 3 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 9876543210 1 0 9 8 7 6 5 4 3 2 1 0 9 8 7 6 5 4 3 2 1 0 Cond 0 0 I Opcode S Rn Rd Operand 2 Data Processing / PSR Transfer Cond 0 0 0 0 0 0 A S Rd Rn Rs 1 0 0 1 Rm Multiply Cond 0 0 0 0 1 U A S RdHi RdLo Rn 1 0 0 1 Rm Multiply Long Cond 0 0 0 1 0 B 0 0 Rn Rd 0 0 0 0 1 0 0 1 Rm Single Data Swap Cond 0 0 0 1 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 1 Rn Branch and Exchange Cond 0 0 0 P U 0 W L Rn Rd 0 0 0 0 1 S H 1 Rm Halfword Data Transfer: register offset Cond 0 0 0 P U 1 W L Rn Rd Offset 1 S H 1 Offset Halfword Data Transfer: immediate offset Cond 0
    [Show full text]
  • PYTHON BASIC OPERATORS Rialspo Int.Co M/Pytho N/Pytho N Basic O Perato Rs.Htm Copyrig Ht © Tutorialspoint.Com
    PYTHON BASIC OPERATORS http://www.tuto rialspo int.co m/pytho n/pytho n_basic_o perato rs.htm Copyrig ht © tutorialspoint.com What is an operator? Simple answer can be g iven using expression 4 + 5 is equal to 9. Here, 4 and 5 are called operands and + is called operator. Python lang uag e supports the following types of operators. Arithmetic Operators Comparison (i.e., Relational) Operators Assig nment Operators Log ical Operators Bitwise Operators Membership Operators Identity Operators Let's have a look on all operators one by one. Python Arithmetic Operators: Assume variable a holds 10 and variable b holds 20, then: [ Show Example ] Operator Description Example + Addition - Adds values on either side of the a + b will g ive 30 operator - Subtraction - Subtracts rig ht hand operand a - b will g ive -10 from left hand operand * Multiplication - Multiplies values on either side a * b will g ive 200 of the operator / Division - Divides left hand operand by rig ht b / a will g ive 2 hand operand % Modulus - Divides left hand operand by rig ht b % a will g ive 0 hand operand and returns remainder ** Exponent - Performs exponential (power) a**b will g ive 10 to the power 20 calculation on operators // Floor Division - The division of operands 9//2 is equal to 4 and 9.0//2.0 is equal to where the result is the quotient in which the 4.0 dig its after the decimal point are removed. Python Comparison Operators: Assume variable a holds 10 and variable b holds 20, then: [ Show Example ] Operator Description Example == Checks if the value of two operands are equal (a == b) is not true.
    [Show full text]
  • Multiplication and Division Instructions
    MultiplicationMultiplication andand DivisionDivision InstructionsInstructions • MUL Instruction • IMUL Instruction • DIV Instruction • Signed Integer Division • Implementing Arithmetic Expressions Irvine, Kip R. Assembly Language for Intel-Based Computers, 2003. 1 MULMUL InstructionInstruction • The MUL (unsigned multiply) instruction multiplies an 8-, 16-, or 32-bit operand by either AL, AX, or EAX. • The instruction formats are: MUL r/m8 MUL r/m16 MUL r/m32 Implied operands: Irvine, Kip R. Assembly Language for Intel-Based Computers, 2003. 2 MULMUL ExamplesExamples 100h * 2000h, using 16-bit operands: .data val1 WORD 2000h The Carry flag indicates whether or val2 WORD 100h not the upper half of .code the product contains mov ax,val1 significant digits. mul val2 ; DX:AX = 00200000h, CF=1 12345h * 1000h, using 32-bit operands: mov eax,12345h mov ebx,1000h mul ebx ; EDX:EAX = 0000000012345000h, CF=0 Irvine, Kip R. Assembly Language for Intel-Based Computers, 2003. 3 YourYour turnturn .. .. .. What will be the hexadecimal values of DX, AX, and the Carry flag after the following instructions execute? mov ax,1234h mov bx,100h mul bx DX = 0012h, AX = 3400h, CF = 1 Irvine, Kip R. Assembly Language for Intel-Based Computers, 2003. 4 YourYour turnturn .. .. .. What will be the hexadecimal values of EDX, EAX, and the Carry flag after the following instructions execute? mov eax,00128765h mov ecx,10000h mul ecx EDX = 00000012h, EAX = 87650000h, CF = 1 Irvine, Kip R. Assembly Language for Intel-Based Computers, 2003. 5 IMULIMUL InstructionInstruction • IMUL (signed integer multiply ) multiplies an 8-, 16-, or 32-bit signed operand by either AL, AX, or EAX • Preserves the sign of the product by sign-extending it into the upper half of the destination register Example: multiply 48 * 4, using 8-bit operands: mov al,48 mov bl,4 imul bl ; AX = 00C0h, OF=1 OF=1 because AH is not a sign extension of AL.
    [Show full text]
  • V850e/Ms1 , V850e/Ms2
    User’s Manual V850E/MS1TM, V850E/MS2TM 32-Bit Single-Chip Microcontrollers Architecture V850E/MS1: V850E/MS2: µPD703100 µPD703130 µPD703100A µPD703101 µPD703101A µPD703102 µPD703102A µPD70F3102 µPD70F3102A Document No. U12197EJ6V0UM00 (6th edition) Date Published November 2002 N CP(K) 1996 Printed in Japan [MEMO] 2 User’s Manual U12197EJ6V0UM NOTES FOR CMOS DEVICES 1 PRECAUTION AGAINST ESD FOR SEMICONDUCTORS Note: Strong electric field, when exposed to a MOS device, can cause destruction of the gate oxide and ultimately degrade the device operation. Steps must be taken to stop generation of static electricity as much as possible, and quickly dissipate it once, when it has occurred. Environmental control must be adequate. When it is dry, humidifier should be used. It is recommended to avoid using insulators that easily build static electricity. Semiconductor devices must be stored and transported in an anti-static container, static shielding bag or conductive material. All test and measurement tools including work bench and floor should be grounded. The operator should be grounded using wrist strap. Semiconductor devices must not be touched with bare hands. Similar precautions need to be taken for PW boards with semiconductor devices on it. 2 HANDLING OF UNUSED INPUT PINS FOR CMOS Note: No connection for CMOS device inputs can be cause of malfunction. If no connection is provided to the input pins, it is possible that an internal input level may be generated due to noise, etc., hence causing malfunction. CMOS devices behave differently than Bipolar or NMOS devices. Input levels of CMOS devices must be fixed high or low by using a pull-up or pull-down circuitry.
    [Show full text]
  • High-Speed Multi Operand Addition Utilizing Flag Bits
    HIGH-SPEED MULTI OPERAND ADDITION UTILIZING FLAG BITS BY VIBHUTI DAVE DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Engineering in the Graduate College of the Illinois Institute of Technology Approved _________________________ Adviser _________________________ Co – Adviser Chicago, Illinois May 2007 ACKNOWLEDGEMENT I would like to thank my mentor Dr. Erdal Oruklu for his constant support and undue faith in me. I highly appreciate the time he has invested during my research and for the completion of this dissertation. This dissertation would not have been possible without Dr. Jafar Saniie, my advisor and his attempts to challenge me throughout my academic program, encouraging me when I was successful and pushing me to do better when I fell short. I would also like to thank Dr. Dimitrios Velenis and Dr. James Stine for their constructive criticism about my work and helping me to perform better. A special thanks to the committee members for their support and time. iii TABLE OF CONTENTS Page ACKNOWLEDGEMENT ....................................................................................... iii LIST OF TABLES ................................................................................................... vi LIST OF FIGURES ................................................................................................. vii ABSTRACT ............................................................................................................
    [Show full text]
  • 10 Instruction Sets: Characteristics and Functions Instruction Set = the Complete Collection of Instructions That Are Recognized by a CPU
    William Stallings Computer Organization and Architecture 8th Edition Chapter 10 Instruction Sets: Characteristics and Functions Instruction Set = The complete collection of instructions that are recognized by a CPU. Representations: • Machine code (Binary/Hex) • Assembly code (Mnemonics) Example (IAS – see ch.2): 00000101 0000000011 ADD M(3) Elements of an Instruction • Operation code (opcode) —Do this • Source operand(s) reference(s) —To this • Result operand reference —Put the answer here • Next instruction reference —When you’ve finished, go here to find out what to do next... 00000101 0000000011 ADD M(3) Where are the operands stored? • In the instruction itself —immediate addressing • Main memory —or virtual memory or caches, but this is transparent to the CPU • CPU register • I/O device —If memory-mapped, it’s just another address 00000101 0000000011 ADD M(3) Instruction Cycle State Diagram (ch.3) Instruction Representation • In machine code each instruction (incl. operands!) has a unique bit pattern • In assembly code: —ADD M(3) —ADD A,B —etc. High-level language and assembly language X = X + Y compiles into: • Load register A with contents of memory address 513 • Add reg. A w/contents of mem. addr. 514 • Store reg. A into mem. addr. 513 Conclusion: assembly is closer to the hardware. Instruction Types • Data processing (ALU) • Data storage (main memory) • Data movement (I/O) • Program flow control Number of Addresses (a) • 3 addresses —Operand 1, Operand 2, Result —a = b + c; —There may be a forth – the next instruction! (usually
    [Show full text]
  • Assembly Language
    Chapter 2 Instructions: Assembly Language Reading: The corresponding chapter in the 2nd edition is Chapter 3, in the 3rd edition it is Chapter 2 and Appendix A and in the 4th edition it is Chapter 2 and Appendix B. 2.1 Instructions and Instruction set The language to command a computer architecture is comprised of instructions and the vocabulary of that language is called the instruction set. The only way computers can rep- resent information is based on high or low electric signals, i.e., transistors (electric switches) being turned on or off. Being limited to those 2 alternatives, we represent information in com- puters using bits (binary digits), which can have one of two values: 0 or 1. So, instructions will be stored in and read by computers as sequences of bits. This is called machine language. To make sure we don't need to read and write programs using bits, every instruction will also have a "natural language" equivalent, called the assembly language notation. For example, in C, we can use the expression c = a + b; or, in assembly language, we can use add c; a; b and these instructions will be represented by a sequence of bits 000000 010001001 in the computer. Groups of bits are named as follows: ··· bit 0 or 1 byte 8 bits half word 16 bits word 32 bits double word 64 bits Since every bit can only be 0 or 1, with a group of n bits, we can generate 2n different combinations of bits. For example, we can make 28 combinations with one byte (8 bits), 216 with one half word (16 bits), and 232 with one word (32 bits).
    [Show full text]
  • Assembly Language: Part 1
    Assembly Language: Part 1 1 Context of this Lecture First half lectures: “Programming in the large” Second half lectures: “Under the hood” Starting Now Afterward C Language Application Program language service levels Assembly Language levels Operating System tour tour Machine Language Hardware 2 Goals of this Lecture Help you learn: • Language levels • The basics of x86-64 architecture • Enough to understand x86-64 assembly language • The basics of x86-64 assembly language • Instructions to define global data • Instructions to transfer data and perform arithmetic 3 Lectures vs. Precepts Approach to studying assembly language: Precepts Lectures Study complete pgms Study partial pgms Begin with small pgms; Begin with simple proceed to large ones constructs; proceed to complex ones Emphasis on writing Emphasis on reading code code 4 Agenda Language Levels Architecture Assembly Language: Defining Global Data Assembly Language: Performing Arithmetic 5 High-Level Languages Characteristics • Portable count = 0; • To varying degrees while (n>1) • Complex { count++; • One statement can do if (n&1) much work n = n*3+1; • Expressive else • To varying degrees n = n/2; } • Good (code functionality / code size) ratio • Human readable 6 Machine Languages Characteristics • Not portable 0000 0000 0000 0000 0000 0000 0000 0000 0000 0000 0000 0000 0000 0000 0000 0000 • Specific to hardware 9222 9120 1121 A120 1121 A121 7211 0000 0000 0001 0002 0003 0004 0005 0006 0007 • Simple 0008 0009 000A 000B 000C 000D 000E 000F • Each instruction does 0000 0000 0000
    [Show full text]
  • X86 Assembly Language Reference Manual
    x86 Assembly Language Reference Manual Sun Microsystems, Inc. 901 N. San Antonio Road Palo Alto, CA 94303-4900 U.S.A. Part No: 805-4693-10 October 1998 Copyright 1998 Sun Microsystems, Inc. 901 San Antonio Road, Palo Alto, California 94303-4900 U.S.A. All rights reserved. This product or document is protected by copyright and distributed under licenses restricting its use, copying, distribution, and decompilation. No part of this product or document may be reproduced in any form by any means without prior written authorization of Sun and its licensors, if any. Third-party software, including font technology, is copyrighted and licensed from Sun suppliers. Parts of the product may be derived from Berkeley BSD systems, licensed from the University of California. UNIX is a registered trademark in the U.S. and other countries, exclusively licensed through X/Open Company, Ltd. Sun, Sun Microsystems, the Sun logo, SunDocs, Java, the Java Coffee Cup logo, and Solaris are trademarks, registered trademarks, or service marks of Sun Microsystems, Inc. in the U.S. and other countries. All SPARC trademarks are used under license and are trademarks or registered trademarks of SPARC International, Inc. in the U.S. and other countries. Products bearing SPARC trademarks are based upon an architecture developed by Sun Microsystems, Inc. The OPEN LOOK and SunTM Graphical User Interface was developed by Sun Microsystems, Inc. for its users and licensees. Sun acknowledges the pioneering efforts of Xerox in researching and developing the concept of visual or graphical user interfaces for the computer industry. Sun holds a non-exclusive license from Xerox to the Xerox Graphical User Interface, which license also covers Sun’s licensees who implement OPEN LOOK GUIs and otherwise comply with Sun’s written license agreements.
    [Show full text]