Chapter 3 Binary System and Boolean Algebra

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SE-121《软件工程专业导论》课程教学大纲

SE-121《软件工程专业导论》课程教学大纲
2
Laboratory Sessions
学时合计
34
Total Hours
Prof. Hui-you CHANG Email : isschy@ Homepage : /informationsystem/Article.aspx?id=3659
常会友教授、李文军教授、周晓聪副教授、余阳副教授、衣杨副教授、刘宁副教授
Prof. Hui-you CHANG, Prof. Wen-jun LI, A/Prof. Yang YU, A/Prof. Xiao-cong ZHOU, A/Prof.
Yang YI, A/Prof. Ning LIU 每班配置 1 名 TA,负责批改作业、实验报告并指导实验过程。
-1-
先修课程 Prerequisites
后续课程 Successive
Courses
教材 Textbook
教学参考书 References
教学方法 Approach 理论教学内容 Lectures
Introduction to Software Engineering is a fundamental course for those students who major in software engineering. This course focuses on the topics of the knowledge body, discipline foundations, and professional requirements for software engineers. Basic concepts and principles in computer science are covered in this course, including: computation models, digital systems, digital logic and integrated circuits, computer hardware and software, computer languages and programs, data management, and information processing. The students are also equipped with the fundamentals, methodologies, histories and disciplines of computing science. Furthermore, basic concepts and principles of software engineering and project management are also introduced.

chapter_1_2012

chapter_1_2012

• Binary values are represented by values or ranges of values of physical quantities
Digital System
• A digital system is an interconnection of digital modules. To understand the operation of each digital module, it is necessary to have a basic knowledge of digital circuits and their logical function. • A major trend in digital design methodology is the use of a HDL to describe and simulate the functionality of a digital circuit, it is important that students become familiar with an HDL‐based design methodology.
Octal and Hexadecimal Numbers
Numbers with different bases: Table 1.2.
Octal and Hexadecimal Numbers
Conversion from binary to octal can be done by positioning the binary number into groups of three digits each, starting from the binary point and proceeding to the left and to the right.

Linear Algebra (chapter3)

Linear Algebra (chapter3)

§3.2 Properties of Determinants
Example 1 Compute det A, where
Solution Compute
An interchange of rows 2 and 3 reverses the sign of the determinant, so
§3.2 Properties of Determinants
The determinant of an n×n matrix A can be computed by a cofactor expansion across any row or down any column. The expansion across the ith row using the cofactors in (4) is
Example 7
Sol.
§3.2 Properties of Determinants
4. A Linearity Property of the Determinant Function
Suppose that the jth columns of A is allowed to vary, and write
§3.2 Properties of Determinants
3. Determinants and Matrix Products
Theorem 6
If A and B are n×n matrices, then det AB = (det A)( det B).
AB≠BA
but det(AB)=det(BA) ?
Example 3 Compute det A, where
Solution Compute

介绍法布尔作文600字

介绍法布尔作文600字

介绍法布尔作文600字英文回答:Boole's work, particularly his development of Boolean algebra, has had a profound impact on the field of computer science. Boolean algebra is a system of mathematical logic that deals with binary variables and logic gates. It provides a foundation for the design and analysis ofdigital circuits, which are at the core of modern computers.One of the key concepts in Boolean algebra is the useof logical operators, such as AND, OR, and NOT. These operators allow us to combine and manipulate binaryvariables in a systematic way. For example, the ANDoperator returns true if both of its inputs are true, and false otherwise. Similarly, the OR operator returns true if at least one of its inputs is true. The NOT operator, onthe other hand, simply negates the input.Boolean algebra also provides a way to representlogical statements and their relationships using truth tables. A truth table lists all possible combinations of input values and their corresponding output values. This allows us to analyze and reason about the behavior of logical circuits and expressions.Boolean algebra is not only used in computer science, but also in various other fields such as mathematics, physics, and engineering. It provides a powerful tool for solving problems that involve logical reasoning and decision making. For example, in mathematics, Boolean algebra is used in set theory to define operations such as intersection, union, and complement. In physics, it is used in quantum mechanics to describe the behavior of quantum systems. In engineering, it is used in circuit design, control systems, and signal processing.中文回答:布尔的工作,特别是他对布尔代数的发展,在计算机科学领域产生了深远的影响。

数电Lecture4

数电Lecture4
23
Digital Circuits By Bao Qilian
SOP Form
The Sum-of-product (SOP) Form: Terms consists of the product of literals (variables or their complements) are summed by Boolean addition.
18
Digital Circuits By Bao Qilian
Example: Apply DeMorgan’s theorem to the following expression: A BC D ( E F )
Solution:
A BC D (E F )
X Y XY
数字电子技术
Digital Circuits
By Bao Qilian
1
Chapter 4 Boolean Algebra and Logic Simplification
Objectives: Boolean Operation and Expression Laws and Rules of Boolean Algebra Boolean Expression of Logic Circuits Standard Forms of Boolean Expression Conversion between different forms Simplification by using algebra rules Karnaugh map and simplification Reading assignment: Chapter 4:p162p213
Example: Determine the value of A, B, C, and D which make the product term AB C D 1 Solution:

离散数学及其应用英文版第八版教学设计

离散数学及其应用英文版第八版教学设计

Discrete Mathematics and Its Applications, 8th Edition:Teaching PlanDiscrete Mathematics and Its Applications by Kenneth H. Rosen is a popular textbook for undergraduate students studying computer science, mathematics, engineering, and related fields. This teaching plan outlines a semester-long course based on the eighth edition of the book. The course is designed to introduce students to the fundamental concepts of discrete mathematics and their applications in computer science and other areas.Course OverviewThe course is divided into two parts: Foundations and Applications. The Foundations portion of the course introduces students to the basics of logic, set theory, relations, functions, and graphs. The Applications portion of the course covers combinatorics, discrete probability, mathematical induction, recursion, and algorithmic thinking. Throughout the course, we will explore real-worldapplications of these concepts and their relevance to computer science.Learning ObjectivesBy the end of the course, students should be able to: •Apply logic and set theory to solve problems in computer science.•Understand and analyze relations and functions, and use them to solve problems.•Represent and manipulate graphs and trees, and comprehend their use in modeling and solving problems.•Solve combinatorics problems and apply them to real-world scenarios.•Understand and apply mathematical induction to prove theorems.•Understand and apply the concept of recursion, including recursive algorithms.•Develop algorithmic thinking skills, including analyzing problem requirements and designing algorithms.TextbookDiscrete Mathematics and Its Applications, 8th Edition by Kenneth H. Rosen will serve as the primary text for the course. This textbook is a comprehensive and well-written introduction to discrete mathematics. It contns numerousexamples, problems, and mathematically rigorous proofs to support student learning.Course OutlinePart I: FoundationsChapter 1: The Foundations: Logic and ProofsThis chapter introduces students to the basics of mathematical language and logic. Topics include propositional logic, the different types of statements, and understanding proof techniques.Chapter 2: Basic Structures: Sets, Functions, Sequences, and SumsThis chapter is focused on set theory and its applications in computer science. Topics include set operations and properties, functions and their properties, sequences, and summations.Chapter 3: The Fundamentals: Algorithms, the Integers, and MatricesThis chapter covers the basics of algorithms, their classifications, performance analysis, and the use of recurrence relations. Also, students will be introduced tothe integers, divisibility and gcd, prime numbers, and matrices.Chapter 4: Induction and RecursionThis chapter explores mathematical induction, strong induction, and structural induction, as well as recursion and recursive algorithms.Chapter 5: CountingThis chapter introduces combinatorics, exploring permutations, combinations, and the binomial coefficients. Applications of these methods are presented in probability concepts.Chapter 6: Discrete ProbabilityThis chapter covers the fundamentals of probability theory and its applications in computer science. Topics include sample spaces and probability functions.Part II: ApplicationsChapter 7: Advanced Counting TechniquesThis chapter explores advanced counting techniques for solving combinatorial problems, including With Repetition and Generating Functions.Chapter 8: RelationsThe chapter introduces the concept of relations andpresents examples of relations, properties of relations, closure and matrix representation, and others.Chapter 9: GraphsThe chapter introduces the concept of graphs, including properties of graphs, graph colorings, Kruskal’s and Prim’s algorithms, network models, and the shortest path problem.Chapter 10: TreesThis chapter explores the concept of trees, spanning trees, rooted trees, binary trees, and traversal algorithms.Chapter 11: Boolean AlgebraThis chapter covers Boolean Algebra and Quine-McCluskey algorithms as common tools in digital circuitry synthesis.Chapter 12: Modeling ComputationThe final chapter covers models of computation andexplores the relationship between automata, formal languages, and complexity theory.AssessmentStudent understanding of course material will be evaluated through a combination of assignments, quizzes, mid-term and final examinations. Homework assignments will be given weekly or biweekly, and quizzes will be administered every two to three weeks. The final exam will be comprehensive and will cover all the topics of the course. Additionally, students will be expected to participate actively in class and online discussions.ConclusionDiscrete Mathematics and Its Applications is an essential course for students pursuing a degree in computer science, mathematics, or engineering. The course covers foundational topics in discrete mathematics in a comprehensive and engaging format, emphasizing real-world applications in computer science. It is hoped that this teaching plan will help students gn a deeper understanding and appreciation of this fascinating field.。

电子电路 L2 - Boolean Algebra (1)


ECE 152A - Digital Design Principles
11
Boolean Algebra
Combining (Simplification)
X Y + X Y’ = X (X + Y) (X + Y’) = X
Y
0
1
X
0
Y
0
1
X
00
0
11
1
1
XY’ X
XY
X+Y X X+Y’
0
1
1
1
1
1
XY
X’Z
YZ
January 11, 2012
ECE 152A - Digital Design Principles
14
7
Boolean Algebra
DeMorgan’s Theorem
(X Y)’ = X’ + Y’
Y
0
1
X
0 10
10
1 10
01
X(X’+YY)’’
(X + Y)’ = X’ Y’
3. OR
Or forced by parentheses
Example: F = ab’c + a’b + a’bc’ + b’c’
a=0, b=0 and c=1
NOT:
011 + 10 + 100 + 10
AND:
0 + 0+ 0 + 0
OR:
0
January 11, 2012
ECE 152A - Digital Design Principles

数电

Key and New words1. Inverter(invert: turn upside down) 1.inverter: 反相器2. Distinctive: clearly marking a person or thing as different from others.特征3. Rectangular (rectangle):plane figure with four straight sides and four right angles. 矩形。

esp. other than a square (尤指正方形)。

4. Assert: to state or declare forcefully. 表明。

5. Negation: absence or opposite of something actual or positive. 不存在,反面。

6. Polarity: state of having two opposite tendencies, opinions, ect. 两极状态。

7. Bubble: thin sphere of liquid enclosing air etc. 泡,水泡,泡沫。

3-1 The InverterThe inverter performs the operation called inversion or complementation.The inverter changes one logic level to the opposite level. In terms of bits, it changes a 1 to a 0 and a 0 to a 1.反向器完成的功能称为反向或求反。

反向器把一种逻辑电平变为另一种。

对于字比特,它把1变为0,0变为1。

Standard logic symbols for the inverter are as shown in Figure 3-1. Part (a) shows the distinctive shape symbols, and part (b) shows the rectangular outline symbols. In this textbook, distinctive shape symbols are used.反向器的标准逻辑符号见图3-1。

coa课件第三章


• 转换 1010 1101 1000 0101B=A D 8 5H =(A x 163+D x 162+8 x 161+5 x 160)D (
B/KB/MB/GB
单位换算 字节=8个二进制位
• 1 byte (B) = 8 bits (b) • 1Kilobyte(K/KB)=210 bytes=1,024 bytes 千字节 • 1Megabyte(M/MB)=220 bytes=1,048,576 bytes
恢复
挂起
断点
(4)Interrupt Cycle 中断周期
Page 59
• Added to instruction cycle • Processor checks for interrupt
—Indicated by an interrupt signal
• If no interrupt, fetch next instruction • If interrupt pending(未处理):
硬件部分接受该编码并发布控制信号
ponents
• The Control Unit and the Arithmetic and Logic Unit constitute the Central Processing Unit
控制器和运算器构成CPU
• Data and instructions need to get into the system and results out
(1)Fetch Cycle(or Fetch Subcycle)
• Processor fetches instruction from memory location pointed to by PC • Increment PC —Unless told otherwise • Instruction loaded into Instruction Register (IR) • Processor interprets instruction and performs required actions

计算机英语(第三版)-3-3.1作者:刘兆毓、郑家农(普通高等教育“十一五”国家级规划教材) f教学内容


the finite set algebras[9], each finite Boolean algebra
consists of exactly 2n elements for some integer n.
计算机英语(第三版)
For example, the set algebra for the set T defined above
定语从句
that are in both given sets.
计算机英语(第三版)
We use the symbol ∪ to denote the union, and ∩ to denote the intersection of two sets. For example, if B={b,d,e}, then B∪S={a,b,c,d,e}, and B∩S={b}.
?3 ● List the principal properties of Boolean algebra
计算机英语(第三版)
Table3-1 [8]
Distributivity:
a(b+c)=ab+ac
a+(bc)=(a+b)(a+c)
Idempotency:
a+a=a
aa=a
Absorption laws:
of any two sets (subsets of a given set) consists of those
定语从句
elements that are in one or the other or in both given sets
[5 ]; the intersection of two sets consists of those elements
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Chapter 3 Binary System and Boolean Algebra 3.1 The Decimal System Our present system of numbers has 10 separate symbols 0, 1, 2, 3,…, 9, which are called Arabic numerals. We would be forced to stop at 9 or to invent more symbols if it were not for the use of positional notation. An example of earlier types of notation can be found in Roman numeral, which are essentially additive: III=I+I+I, XXV=X+X+V. New symbols (X, C, M, etc.) were used as the numbers increased in value. Thus V rather than IIIII=5. The only importance of position in Roman numerals lies in whether a symbol precedes or follows another symbol (IV=4 and VI=6). 我们当前的数字系统有0、1、2、3….9十个单独的符号,称之为阿拉伯数字。如果不使用位置符号,我们数到9就被迫停下来,或发明更多的符号。在罗马数字里可以找到早期符号类型的例子,他们基本上是加法的:Ⅲ=Ⅰ+Ⅰ+Ⅰ,XXV=X+X+V。当数值增加时采用新符号(X、C、M等)。这样V就不是IIIII=5。罗马数字中位的唯一重要性在于这个符号处于另一个符号之前或之后(Ⅳ=4和Ⅵ=6)。 The clumsiness of this system can easily be seen if we try to multiply XII by XIV. Calculating with Roman numerals was so difficult that early mathematicians were forced to perform arithmetic operations almost entirely on abaci, or counting boards, translating their results back into Roman-number form. Pencil-and-paper computations are unbelievably intricate and difficult in such systems. In fact, the ability to perform such operations as addition and multiplication was considered a great accomplishment in earlier civilization. 如果你要用XIV乘XII ,很容易看出这个数字系统是笨拙的。用罗马数字计算太难了,以至于早期的数字家几乎完全被迫在算盘或演算板完成算术运算,然后再把结果翻译成罗马数字形式。在这样的数字系统中,纸和笔运算达到以难置信的复杂和困难程度。事实上,在早期文明中能进行这样的加法和乘法运算被看作是一项伟大的成就。 The great beauty and simplicity of our number system can now be seen. It is necessary to learn only the basic numerals and the positional notation system in order to count to any desired figure. After memorizing the addition and multiplication tables and learning a few simple rules, it is possible to perform all arithmetic operations. Notice the simplicity of multiplying 12×14 using the present system. 现在可以看到我们的数字系统的巨大优势和简单明了,为了要数到任意想到的数字,只需要学会基本数字和进位符号,再记住加法和乘法表及学会一些简单规则,就可能完成所有的算术运算。看一下用现在数制计算12×14的简单性。 The actual meaning of the number 168 can be seen more clearly if we notice that it is spoken as “one hundred and sixty-eight”. Basically, the number is a contraction of (1×100)+(6×10)+8. The important point is that the value of each digit is determined by its position. For example, the 2 in 2,000 has a different value than the 2 in 20. We show this verbally by saying “two thousand” and “twenty”. Different verbal representations have been invented for numbers from 10 to 20 (eleven, twelve), but from 20 upward we break only at powers of 10 (hundreds, thousands, millions, billions). Written numbers are always contracted, however, and only the basic 10 numerals are used regardless of the size of the integer written. The general rule for representing numbers in the decimal system using positional notation is as follows: 如果我们注意到说„一百六十八‟时,数字168的实际意义就能更清楚地看出来。基本上,这个数字是(1×100)+6×10)+8的紧缩形式。更重要的是每个数字的值由它的位置来决定。例如2000中的2和20中的2的值是不同的。我说„二千‟和„二十‟来口头表达这些。从10到20我们发明出不同的口头表示方式。但是从20往上起,我们只在10的权位上断开。书写出的数字总紧凑的,不论写出的整数大小,只用10个基本数字。十进制使用进位符号表示数字的通则是:

The integer digit in different position is expressed as an-l, an-2, …, a0 where “n” is the number of digits to the left of the decimal point.

不同位上的整数用an-l, an-2, …, a0表示,n表示十进制小数点左面数字的数量。 The base, or radix of a number system is defined as the number of different digits which can occur in each position in the number system. The decimal number system has a base, or radix, of 10. This means that the system has 10 different digits (0, 1, 2, …, 9), any one of which may be used in each position in a number. History records the use of several other number systems. The quinary system, which has 5 for its base, was prevalent among Eskimos and North American Indians. Examples of the duodecimal system (base 12) may be seen in clocks, inches and feet and in dozens or grosses.

基数是定义在数字系统中每一位上的不同数字。十进制数有一个10的基数,这表示它有10个不同数字。(0、1、2….9),其中任意一个可以用在数字的每个位置上。历史上记录了使用过几种其它数制。五进制有5个数字作为基数,在爱斯基摩人和北美印第安人中流行,十二进制(12个基数)可以在钟表,英尺,英寸以及以打记数中看到。 3.2 The Binary System A seventeenth-century German mathematician Gottfried Wilhelm von Leibniz, was an advocate of the binary number system which has 2 for a base, using only the symbols 0 and 1. It seems strange for an eminent mathematician to advocate such a simple number system; it should be noted that he was also a philosopher. Leibniz‟s reasons for advocating the binary system seem to have been mystical. He felt there was great beauty in the analogy between zero, representing the void, and one, representing the Deity.

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