计算机科学导论 英中双语版2025|PDF|Epub|mobi|kindle电子书版本百度云盘下载

计算机科学导论 英中双语版PDF格式电子书版下载

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Unit 1 Introduction1

1.1 What Is Computer Science？1

1.2 Von Neumann Model1

1.3 Computer Components2

1.4 History and Development Trends3

1.5 Frontiers of Computer Technology5

1.6 Major Fields of Computer Science12

1.7 References and Recommended Readings13

1.8 Summary14

1.9 Practice Set14

Unit 2 Number Systems and Conversions16

2.1 Introduction16

2.2 Positional Number Systems17

2.3 Non-Positional Number Systems26

2.4 References and Recommended Readings27

2.5 Summary28

2.6 Practice Set28

Unit 3 Data Storage and Compression30

3.1 Bit Pattern30

3.2 Integer in Computer31

3.3 Floating-Point in Computer34

3.4 Data Storage36

3.5 Cloud Storage and Big Data Storage44

3.6 References and Recommended Readings48

3.7 Summary49

3.8 Practice Set51

Unit 4 Data Operations54

4.1 Logical Operations54

4.2 Arithmetic Operations59

4.3 Shift Operations64

4.4 References and Recommended Readings66

4.5 Summary66

4.6 Practice Set67

Unit 5 Computer Components70

5.1 Three Main Components70

5.2 Components Interconnection80

5.3 Machine Cycle82

5.4 Computer Architectures83

5.5 References and Recommended Readings84

5.6 Summary85

5.7 Practice Set86

Unit 6 Computer Networks88

6.1 Types of Networks88

6.2 TCP/IP Model91

6.3 Devices in Networks95

6.4 New Development in Networks96

6.5 References and Recommended Readings104

6.6 Summary104

6.7 Practice Set106

Unit 7 Operating Systems108

7.1 Categories109

7.2 Components111

7.3 Popular Operating Systems118

7.4 References and Recommended Readings121

7.5 Summary121

7.6 Practice Set122

Unit 8 Algorithm125

8.1 What Is Algorithm？125

8.2 Three Constructs126

8.3 How to Evaluate Algorithms127

8.4 Algorithm Representation128

8.5 Basic Algorithms129

8.6 Classification of Algorithm136

8.7 References and Recommended Readings140

8.8 Summary140

8.9 Practice Set141

Unit 9 Programming Languages143

9.1 Development143

9.2 Program Translation145

9.3 Languages'Latest Ranking,Categories and Features146

9.4 Common Concepts of Programming Languages151

9.5 Severe Software Errors153

9.6 References and Recommended Readings156

9.7 Summary156

9.8 Practice Set157

Unit 10 Software Engineering159

10.1 Introduction159

10.2 Software Development Life Cycle160

10.3 Software Development Models165

10.4 CMMI and Software Process Management167

10.5 Importance of Documentation169

10.6 Service-Oriented Architecture170

10.7 References and Recommended Readings170

10.8 Summary171

10.9 Practice Set172

Unit 11 Data and File Structures173

11.1 Abstract Data Types173

11.2 List174

11.3 Stack177

11.4 Queue177

11.5 Tree and Graph178

11.6 File Structure180

11.7 References and Recommended Readings184

11.8 Summary184

11.9 Practice Set185

Unit 12 Databases187

12.1 Introduction187

12.2 Database Management Systems188

12.3 Database Architecture189

12.4 The History of Database Systems189

12.5 Database Model191

12.6 Relational Operations195

12.7 Databases for Big Data196

12.8 References and Recommended Readings197

12.9 Summary198

12.10 Practice Set198

Unit 13 Security200

13.1 Security Goals200

13.2 Security Threats201

13.3 Security Services206

13.4 Cryptography210

13.5 References and Recommended Readings215

13.6 Summary215

13.7 Practice Set216

Unit 14 Theory of Computation218

14.1 The Turing Machine218

14.2 Halting Problem222

14.3 Solvable Problems224

14.4 References and Recommended Readings225

14.5 Summary226

14.6 Practice Set226

Unit 15 Artificial Intelligence228

15.1 Introduction228

15.2 Knowledge Representation and Expert Systems229

15.3 Perception231

15.4 Reasoning238

15.5 Nature Inspired Computation242

15.6 References and Recommended Readings247

15.7 Summary248

15.8 Practice Set248

Unit 16 Internet of Things,Cloud Computing and Data Science250

16.1 Introduction250

16.2 Opportunities in IoT,Cloud,and Data Science254

16.3 Challenges and Research Directions257

16.4 IoT Applications260

16.5 Cloud Application Service Models261

16.6 Cloud Application Deployment Models262

16.7 Big Data Tools and Techniques263

16.8 Integration of IoT,Cloud Computing,and Big Data264

16.9 References and Recommended Readings265

16.10 Summary266

16.11 Practice Set267