出版時(shí)間:2011-2 出版社:西安電子科技大學(xué)出版社 作者:韓俊崗,袁立行,王忠民 編著 頁(yè)數(shù):222
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內(nèi)容概要
這本《信息科學(xué)類專業(yè)英語(yǔ)(第2版)》由韓俊崗、袁立行和王忠民編著,選取了信息科學(xué)前沿領(lǐng)域的相關(guān)內(nèi)容,具有內(nèi)容新、知識(shí)面廣、難度大、趣味形強(qiáng)等特點(diǎn)。書(shū)中主要涉及物聯(lián)網(wǎng)、云計(jì)算、可重構(gòu)計(jì)算、極大規(guī)模計(jì)算、量子計(jì)算、4G無(wú)線通信、片上網(wǎng)絡(luò)、多智能體系統(tǒng)、納米技術(shù)、系統(tǒng)芯片設(shè)計(jì)、微機(jī)電系統(tǒng)、生物信息學(xué)、嵌入式系統(tǒng)、可穿戴計(jì)算機(jī)、人工嗅覺(jué)、圖形處理器等相關(guān)新技術(shù)各領(lǐng)域的最新知識(shí),具有一定的廣泛性和綜合性。在每課末,結(jié)合課文內(nèi)容,均給出了相關(guān)的重點(diǎn)、難點(diǎn)句子的解釋;同時(shí),為增強(qiáng)學(xué)生的閱讀興趣,擴(kuò)展知識(shí)面,提高閱讀理解能力,本書(shū)采用了大學(xué)六級(jí)英語(yǔ)考試和研究生入學(xué)考試中的閱讀理解題的形式,來(lái)考查學(xué)生對(duì)難句、長(zhǎng)句和結(jié)構(gòu)復(fù)雜句型的理解。
《信息科學(xué)類專業(yè)英語(yǔ)(第2版)既可用作高等理工科院校信息科學(xué)與技術(shù),包括電子信息工程、計(jì)算機(jī)、自動(dòng)化、微電子學(xué)等專業(yè)的專業(yè)英語(yǔ)教材,又可作為相關(guān)領(lǐng)域技術(shù)人員的參考書(shū)。
書(shū)籍目錄
Lesson 1 Towards a Mathematical Science of Computation
(第一課 數(shù)學(xué)化的計(jì)算科學(xué)的前景)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 2 Extreme Scale Computing
(第二課 超大規(guī)模計(jì)算)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 3 Utilisation of the GPU Architecture for HPC
(第三課 GPU用于高性能計(jì)算)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 4 Quantum Computing
(第四課 量子計(jì)算)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Reading Material(閱讀材料)
Lesson 5 Introduction to Cloud Computing
(第五課 云計(jì)算簡(jiǎn)介)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Reading Material(閱讀材料)
Lesson 6 The Internet of Things
(第六課 物聯(lián)網(wǎng))
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Multiple-choice Questions(多選題)
Problems(問(wèn)題)
Lesson 7 Configurable Computing
(第七課 可重構(gòu)計(jì)算)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Reading Material(閱讀材料)
Lesson 8 Top-down SoC Design Methodology
(第八課 自頂向下的SoC設(shè)計(jì)方法學(xué))
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 9 Survey of Research and Practices of Network-on-Chip
(第九課 片上網(wǎng)絡(luò)的研究與實(shí)踐綜述)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 10 Data Warehouse Overview
(第十課 數(shù)據(jù)倉(cāng)庫(kù)概論)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 11 Agent-Oriented Software Engineering
(第十一課 面向智能體的軟件工程)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 12 Why So,ware should not Have Owners?
(第十二課 為什么軟件不應(yīng)當(dāng)有所有者?)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 13 About 4G
(第十三課 關(guān)于4G)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 14 What the Internet might Look like in 2020
(第十四課 2020年的因特網(wǎng))
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Multiple-choice Questions(多選題)
Problems(問(wèn)題)
Lesson 15 How Do Search Engines Work?
(第十五課 搜索引擎如何工作?)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Multiple-choice Questions(多選題)
Problems(問(wèn)題)
Lesson 16 Embedded Systems: a Primer
(第十六課 嵌入式系統(tǒng):初級(jí))
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Multiple-choice Questions(多選題)
Problems(問(wèn)題)
Lesson 17 Wearable Computing FAQ
(第十七課 可穿戴計(jì)算機(jī))
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Reading Material(閱讀材料)
Lesson 18 How Close are Artificial Noses to Development and What
are the Potential Uses?
(第十八課 人工嗅覺(jué)的發(fā)展及其應(yīng)用)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 19 Smart Rooms
(第十九課 智能房間)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 20 Recent Advances in Computer Vision
(第二十課 計(jì)算機(jī)視覺(jué)的新進(jìn)展)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 21 Introduction to Artificial Intelligence
(第二十一課 現(xiàn)代人工智能簡(jiǎn)介)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Multiple-Choice Questions(多選題)
Problems(問(wèn)題)
Reading Material(閱讀材料)
Lesson 22 Moore's Iaw: the Future of Simicroelectronics
(第二十二課 摩爾定律:硅微電子學(xué)的未來(lái))
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 23 Introduction to Bioinformatics
(第二十三課 生物信息學(xué)簡(jiǎn)介)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 24 An Introduction to MEMS(Micro-electromechanical Systems)
(第二十四課 微機(jī)電系統(tǒng)簡(jiǎn)介)
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
Lesson 25 About Nanotechnology)
(第二十五課 關(guān)于納米技術(shù))
Vocabulary(詞匯)
Important Sentences(重點(diǎn)句)
Questions and Answers(問(wèn)答)
Problems(問(wèn)題)
章節(jié)摘錄
In 1936, the notion of a computable function was clarified by Turing, and he showed the existence of universal computers that, with an appropriate prograrri, could compute any thing computed by any other computer, All our stored program computers, when provided with unlimited auxiliary storage, are universal in Turing's sense. In some subconscious sense even the sales departments of computer manufacturers are aware of this, and they do not advertise mag icinstructions that cannot be simulated on competitors machines, but only that their machines are faster, cheaper, have more memory, or are easier to program. The second major result was the existence of classes of unsolvable problems. This keeps all but the most ignorant of us out of certain Quixotic enterprises such as trying to invent a debuggingprocedure that can infallibly tell if a program being examined will get into a loop. Later in this paper we shall discuss the relevance of the results of mathematical logic on creative sets to the problem of whether it is possible for a machine to be as intelligent as a human. In my opinion it is very important to build a firmer bridge between logic and recursive function theory on the one side, and the practice of computation on the other. ……
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