Reading the biography, is one of the therapeutic system of self-improvement. Within a few hours, you can learn the secrets of successful large figures, and examine their lives through in 60 years or even more, as long as they live. You will also read about the successes and achievements. And understand how many times the characters must be defeated and the ups and downs in the journey to victory.
While reading a biography, you may get a surprising conclusion about how much excess you have. You may conclude, "Hey, I can do this." You can make your life more meaningful. Biography help you find your way.
With a philosophy that says "get to know the characters of computer science" it worked. This paper displays historical and biographical figures who had been instrumental in developing the business in various fields of Computer Science arable, both in theory and implementation.
List of figures we sort alphabetically (first name), to facilitate the search. This article is under development, and will continue to grow in line with the new material that has been resolved.
We will strive mengudapte and add one character every week.
Writings "Characters in Computer Science" will be published in book form (printed) in Rapid Serial Advanced IlmuKomputer.Com.
A
Adam Osborne
There Augusta Lovelace
Alan Turing
Alan C. Kay
Al Khwarizmi
Andy Bechtolsheim
Arthur C. Clarke
B
Bill Atkinson
Bill Gates
Bjarne Stroustrup
Bob Metcalfe
Bob Taylor
Brian Kernighan
Bruce Schneier
C
C. A. R. Hoare
Carly Fiorina
Charles Babbage
Claude Shannon
Christopher Alexander
D
Daniel Bricklin
David Packard
David Boggs
Dennis Ritchie
Donald Knuth
Douglas Englebart
E
Edsgar W. Dijkstra
Erich Gamma
F
Frederick Emmons Terman
G
Gary Kildall
Gene Amdahl
Gordon Bell
Grace Murray Hopper
Grady Booch
H
Henry Ross Perot
Howard Aiken
I
Ivan Sutherland
Ivar Jacobson
A
J. Presper Eckert
Jack Kilby
James Clark
James Gosling
Jay W. Forrester
Jerry Yang
John Backus
John Hennessy
John Kemeny
John V. Atanasoff
John Vlissides
John V. Mauchly
John Warnock
John von Neumann
K
Ken Arnold
Kenneth Thompson
Konrad Zuse
L
Larry Wall
Leland Stanford
Leonard Kleinrock
Leonardo Chiariglione
Leslie Lamport
Linus Torvalds
M
Marc Andreessen
Marcian E. (Ted) Hoff
Martin Hellman
Marvin Minsky
N
Nicholas Negroponte
Nolan Bushnell
Norm Abramson
P
Paul Baran
Phil Zimmermann
R
Ralph Johnson
Richard Feynman
Richard Helm
Richard Stallman
Robert Noyce
S
Samuel Morse
Severo Ornstein
Seymour Cray
Seymour Papert
Stanley Kubrick
Steven Jobs
T
Thomas J. Watson, Sr.
Thomas Kurtz
Tim Berners-Lee
V
Vannevar Bush
Vint Cerf
W
Whitfield Diffie
William Hewlett
William (Bill) Joy
William Millard
William Norris
William Shockley
Showing posts with label Computer. Show all posts
Showing posts with label Computer. Show all posts
Sunday, June 22, 2014
Basic Classification Computer science
Basic Classification
Computer science is a discipline that encompasses a fairly broad branch of science, from basic theories problems to technological applications. The classification of Computer Science Dennings usually refer to the matrix, which is one of the classification matrix of Computer Science created by Peter J. Dennings [1] [2].
This classification is undergoing some refurbishment, where the latest version is the 1999 version [2] [3]. In the final version of the computer science is divided into 12 subfields (the previous version is 9 subfields). 12 subfields of Computer Science are:
Dennings give special note to the new field of bioinformatics as a field that is a combination of Computer Science and Biology, and is currently experiencing significant growth.
Then along with the increase of science and technology, there is a possibility of this matrix will have improved again in days to come. Rows in the matrix Denning describes the fields in computer science. While the columns of the matrix illustrates the paradigm of these areas, which is reflected in three ways: Theory (Theory), Abstract (Abstraction), and Design (Design).
• Theory: is based on a mathematical approach, whereby to obtain a valid theory, must go through the following processes:
1. Definition (definition)
2. Manufacture theorem (theorem)
3. Evidence (proof)
4. Penginterpretasian results (interpret result)
• Abstract or modeling (modeling), is based on scientific experimental method, in which the conduct invesitigasi against a phenomenon, must go through the following processes:
1. The hypothesis form (form a hypothesis)
2. Making a model and make predictions (a construct models and make a predition)
3. Designing experiments and collecting data (design an experiment and collect data)
4. Analyze the results (analyze results)
• Design: is based on pendekatann engineering (engineering), which at the time of designing a system or device to solve the problem, must go through the following processes:
1. Stated requirements (state requirements),
2. Stated specification (state specifications)
3. Undertake the design and implementation of the system (design and implement the system)
4. Conduct testing of the system (the system test)
From the above, we can understand that it is engaged in computer science research problems will be a lot to do with the first two columns of the matrix (Theory and Abstraction). While engaged in the more technical issues using engineering approach, will be more involved in the scope of the last two columns matrix (Abstraction and Design).
Classification of Computer Science
Summarize the complete classification of computer science by Matrix Denning 1999 version is as below. The author deliberately make improvements, translation, and the cutting, to further facilitate the understanding of the classification of the computer science.
ACM Computing Classification System (CCS)
Association for Computing Machinary (ACM) as a scientific association in the world's oldest computer field also devised a classification system for the field of computing (computing), which is known as the ACM Computing Classification System (CSS). ACM Computing Classification System is divided into three levels, which is similar to the preparation system to the Dewey Decimal Classification System (DCC) which is currently used as a standard preparation of the catalog of books in libraries. This classification system is divided into three, based on years of issuance. Detailed classification is as below.
1. Classification System 1998
2. Classification System 1991
3. Classification System 1964
Computer science is a discipline that encompasses a fairly broad branch of science, from basic theories problems to technological applications. The classification of Computer Science Dennings usually refer to the matrix, which is one of the classification matrix of Computer Science created by Peter J. Dennings [1] [2].
This classification is undergoing some refurbishment, where the latest version is the 1999 version [2] [3]. In the final version of the computer science is divided into 12 subfields (the previous version is 9 subfields). 12 subfields of Computer Science are:
Algoritma dan Struktur Data
(Algorithms and Data Structures) |
Bahasa Pemrograman
(Programming Languages) |
Arsitektur
(Architecture) |
Sistem Operasi dan Jaringan
(Operating Systems and Networks) |
Software Engineering
|
Database dan Sistim Retrieval Informasi
(Database and Information Retrieval Systems) |
Artificial Intelligence dan Robotik
(Artificial Intelligence and Robotics) |
Grafik
(Graphics) |
Human Computer Interaction
|
Ilmu Komputasi
(Computational Sciences) |
Organizational Informatics
|
BioInformatik
(BioInformatics) |
Dennings give special note to the new field of bioinformatics as a field that is a combination of Computer Science and Biology, and is currently experiencing significant growth.
Then along with the increase of science and technology, there is a possibility of this matrix will have improved again in days to come. Rows in the matrix Denning describes the fields in computer science. While the columns of the matrix illustrates the paradigm of these areas, which is reflected in three ways: Theory (Theory), Abstract (Abstraction), and Design (Design).
• Theory: is based on a mathematical approach, whereby to obtain a valid theory, must go through the following processes:
1. Definition (definition)
2. Manufacture theorem (theorem)
3. Evidence (proof)
4. Penginterpretasian results (interpret result)
• Abstract or modeling (modeling), is based on scientific experimental method, in which the conduct invesitigasi against a phenomenon, must go through the following processes:
1. The hypothesis form (form a hypothesis)
2. Making a model and make predictions (a construct models and make a predition)
3. Designing experiments and collecting data (design an experiment and collect data)
4. Analyze the results (analyze results)
• Design: is based on pendekatann engineering (engineering), which at the time of designing a system or device to solve the problem, must go through the following processes:
1. Stated requirements (state requirements),
2. Stated specification (state specifications)
3. Undertake the design and implementation of the system (design and implement the system)
4. Conduct testing of the system (the system test)
From the above, we can understand that it is engaged in computer science research problems will be a lot to do with the first two columns of the matrix (Theory and Abstraction). While engaged in the more technical issues using engineering approach, will be more involved in the scope of the last two columns matrix (Abstraction and Design).
Classification of Computer Science
Summarize the complete classification of computer science by Matrix Denning 1999 version is as below. The author deliberately make improvements, translation, and the cutting, to further facilitate the understanding of the classification of the computer science.
|
1. Classification System 1998
2. Classification System 1991
3. Classification System 1964
Referensi
- Peter Denning, et al., "Computing as a Discipline," Communications of ACM, 32, 1 (January), 9-23, 1989.
- Peter Denning, "Computer Science: the Discipline," In Encyclopedia of Computer Science (A. Ralston and D. Hemmendinger, Eds), 1999.
- A. Tucker, Jr. and P. Wegner, "Computer Science and Engineering: the Discipline and Its Impact," In Handbook of Computer Science and Engineering, CRC Press, Chapter 1, 1996.
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