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E-raamat: Get Set for Computer Science

  • Formaat: PDF+DRM
  • Sari: Get Set for University
  • Ilmumisaeg: 17-Feb-2006
  • Kirjastus: Edinburgh University Press
  • Keel: eng
  • ISBN-13: 9780748626458
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  • Formaat: PDF+DRM
  • Sari: Get Set for University
  • Ilmumisaeg: 17-Feb-2006
  • Kirjastus: Edinburgh University Press
  • Keel: eng
  • ISBN-13: 9780748626458

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This book is aimed at students who are thinking of studying Computer Science or a related topic at university. Part One is a brief introduction to the topics that make up Computer Science, some of which you would expect to find as course modules in a Computer Science programme. These descriptions should help you to tell the difference between Computer Science as taught in different departments and so help you to choose a course that best suits you. Part Two builds on what you have learned about the nature of Computer Science by giving you guidance in choosing universities and making your applications to them. Then Part Three gives you some advice on what to do once you get to university, how to get the most out of studying your Computer Science degree. The principal objective of the book is to produce happy students, students who know what they are letting themselves in for when they start a Computer Science course, and hence find themselves very well suited for the course they choose.

Arvustused

This book provides the student who is thinking of studying Computer Science with useful insights into the problems that Computer Scientists study, and the way in which they study them, coupled with explanations of the application, selection, admission and teaching processes. -- Professor Keith Mander, Chair, Council of Professors and Heads of Computing, University of Kent This book provides the student who is thinking of studying Computer Science with useful insights into the problems that Computer Scientists study, and the way in which they study them, coupled with explanations of the application, selection, admission and teaching processes.

Preface viii
Acknowledgements x
List of Figures and Tables xi
Part I: Computer Science
1 The Elements of Computer Science
3(4)
2 Software
7(29)
2.1 Programming
7(7)
2.2 Comparative Programming Languages
14(9)
2.3 Compilers and Syntax-Directed Tools
23(3)
2.4 Computer Vision and Image Processing
26(4)
2.5 Programming Fundamentals
30(2)
2.6 Software Engineering
32(4)
3 Hardware
36(9)
3.1 Computer Architecture
36(5)
3.2 Computer Hardware Engineering
41(4)
4 Communication and Interaction
45(32)
4.1 Computer Communications
45(1)
4.2 Computer Networks
46(3)
4.3 Concurrency and Parallelism
49(2)
4.4 Information Retrieval
51(2)
4.5 Distributed Computer Systems
53(4)
4.6 Document Processing
57(3)
4.7 Graphics and Sound
60(5)
4.8 Operating Systems
65(2)
4.9 Middleware
67(2)
4.10 Natural Language Computing
69(3)
4.11 Multimedia
72(1)
4.12 Human-Computer Interaction (HCI)
73(4)
5 Practice
77(18)
5.1 E-commerce
77(2)
5.2 Professionalism
79(3)
5.3 Simulation and Modelling
82(3)
5.4 Developing Technologies
85(5)
5.5 Web-based Computing
90(5)
6 Theory
95(15)
6.1 Artificial Intelligence
95(3)
6.2 Intelligent Information Systems Technologies
98(2)
6.3 Data Structures and Algorithms
100(2)
6.4 Theoretical Computing
102(8)
7 Systems
110(15)
7.1 Computer-Based Systems
110(2)
7.2 Databases
112(5)
7.3 Systems Analysis and Design
117(2)
7.4 Information Systems
119(1)
7.5 Security and Privacy
120(5)
Part II: Thinking of a Computer Science Degree
8 Preparation
125(18)
8.1 Computer Science, Studies, IT...?
125(6)
8.2 Employment Prospects
131(1)
8.3 Choosing your 'A' levels or Highers
132(1)
8.4 Choosing your University
133(4)
8.5 Choosing your Department
137(6)
9 Applying to University
143
9.1 The Admissions Process
145(4)
9.2 Gap Year
149(1)
9.3 The UCAS Personal Statement
150(3)
9.4 Reference
153(1)
9.5 Are Girls Allowed?
153(2)
9.6 I have a Disability
155(6)
Part III: Study Skills
10 Eat Well, Work Hard and Get to Bed Early
161(3)
11 Teaching and Learning Methods
164(10)
11.1 Lectures
164(1)
11.2 Labs
165(1)
11.3 Exercises
166(1)
11.4 Novel Teaching
166(1)
11.5 Revision
167(1)
11.6 Projects
167(6)
11.7 Group Work
173(1)
12 Assessment
174(10)
12.1 Marks and Standards
174(2)
12.2 Exams
176(4)
12.3 Viva voce Examinations
180(1)
12.4 Coursework
181(3)
Glossary 184(4)
References 188(4)
Index 192
Alistair Edwards is Senior Lecturer, Department of Computer Science, University of York