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2nd PUC Computer Science Chapter Wise Notes - One of the main subjects for science students in their class 12 is Computer Science. Preparing well not only ensures that you score good marks, but also that you are prepared for the entrance test you will need to appear for to obtain admission to an account college of your choice and it is important that you are able to answer most questions in your paper. However, to do so, you will need proper 2nd PUC Computer Science Notes with which you can revise. The Computer Science examination contains questions taken from the chapters in the Karnataka Board approved textbook. Our 2nd PUC Computer Science notes cover each chapter in detail. The 2nd PUC Computer Science class 12 chapter wise revision notes are sure to help you ease any stress before your examinations. The notes also contain all the tips and tricks to help you answer faster and understand concepts better. The notes are made with the best interests of students in mind so you can answer to the point and move from a question to another faster. We provide the Karnataka Board class 12 Computer Science revision notes free PDF download with each chapter properly laid out for students.
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Here is a detailed Notes, Syllabus, Explanation, Summary, Difficult words, Question Answers provided for 2nd PUC Computer Science Class 12. Every plus two Computer Science chapter wise notes here have been provided with complete explanations from beginning to the end of Chapters. It is ready to hsslive study material for class 12 students of the Karnataka KSEEB Board. In this article, you will get the complete syllabus for 2nd PUC Computer Science Exam. This is a comprehensive study package for plus two Computer Science notes, Chapter wise explanation Summary, question papers, and answer sheets. These 2nd PUC Computer Science Chapter Wise notes also include Important Questions from Previous years to help you complete your studies before exams.
Computer science is the study of computation, automation, and information.[1][2][3] Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines (including the design and implementation of hardware and software).[4][5][6] Computer science is generally considered an academic discipline and distinct from computer programming.[7]
The fundamental concern of computer science is determining what can and cannot be automated.[2][9][3][10][11] The Turing Award is generally recognized as the highest distinction in computer science.[12][13]
The earliest foundations of what would become computer science predate the invention of the modern digital computer. Machines for calculating fixed numerical tasks such as the abacus have existed since antiquity, aiding in computations such as multiplication and division. Algorithms for performing computations have existed since antiquity, even before the development of sophisticated computing equipment.[17]
Wilhelm Schickard designed and constructed the first working mechanical calculator in 1623.[18] In 1673, Gottfried Leibniz demonstrated a digital mechanical calculator, called the Stepped Reckoner.[19] Leibniz may be considered the first computer scientist and information theorist, because of various reasons, including the fact that he documented the binary number system. In 1820, Thomas de Colmar launched the mechanical calculator industry[note 1] when he invented his simplified arithmometer, the first calculating machine strong enough and reliable enough to be used daily in an office environment. Charles Babbage started the design of the first automatic mechanical calculator, his Difference Engine, in 1822, which eventually gave him the idea of the first programmable mechanical calculator, his Analytical Engine.[20] He started developing this machine in 1834, and "in less than two years, he had sketched out many of the salient features of the modern computer".[21] "A crucial step was the adoption of a punched card system derived from the Jacquard loom"[21] making it infinitely programmable.[note 2] In 1843, during the translation of a French article on the Analytical Engine, Ada Lovelace wrote, in one of the many notes she included, an algorithm to compute the Bernoulli numbers, which is considered to be the first published algorithm ever specifically tailored for implementation on a computer.[22] Around 1885, Herman Hollerith invented the tabulator, which used punched cards to process statistical information; eventually his company became part of IBM. Following Babbage, although unaware of his earlier work, Percy Ludgate in 1909 published[23] the 2nd of the only two designs for mechanical analytical engines in history. In 1937, one hundred years after Babbage's impossible dream, Howard Aiken convinced IBM, which was making all kinds of punched card equipment and was also in the calculator business[24] to develop his giant programmable calculator, the ASCC/Harvard Mark I, based on Babbage's Analytical Engine, which itself used cards and a central computing unit. When the machine was finished, some hailed it as "Babbage's dream come true".[25]
Although first proposed in 1956,[32] the term "computer science" appears in a 1959 article in Communications of the ACM,[33]in which Louis Fein argues for the creation of a Graduate School in Computer Sciences analogous to the creation of Harvard Business School in 1921.[34] Louis justifies the name by arguing that, like management science, the subject is applied and interdisciplinary in nature, while having the characteristics typical of an academic discipline.[33]His efforts, and those of others such as numerical analyst George Forsythe, were rewarded: universities went on to create such departments, starting with Purdue in 1962.[35] Despite its name, a significant amount of computer science does not involve the study of computers themselves. Because of this, several alternative names have been proposed.[36] Certain departments of major universities prefer the term computing science, to emphasize precisely that difference. Danish scientist Peter Naur suggested the term datalogy,[37] to reflect the fact that the scientific discipline revolves around data and data treatment, while not necessarily involving computers. The first scientific institution to use the term was the Department of Datalogy at the University of Copenhagen, founded in 1969, with Peter Naur being the first professor in datalogy. The term is used mainly in the Scandinavian countries. An alternative term, also proposed by Naur, is data science; this is now used for a multi-disciplinary field of data analysis, including statistics and databases.
Computer science is considered by some to have a much closer relationship with mathematics than many scientific disciplines, with some observers saying that computing is a mathematical science.[29] Early computer science was strongly influenced by the work of mathematicians such as Kurt Gödel, Alan Turing, John von Neumann, Rózsa Péter and Alonzo Church and there continues to be a useful interchange of ideas between the two fields in areas such as mathematical logic, category theory, domain theory, and algebra.[32]
The relationship between Computer Science and Software Engineering is a contentious issue, which is further muddied by disputes over what the term "Software Engineering" means, and how computer science is defined.[43] David Parnas, taking a cue from the relationship between other engineering and science disciplines, has claimed that the principal focus of computer science is studying the properties of computation in general, while the principal focus of software engineering is the design of specific computations to achieve practical goals, making the two separate but complementary disciplines.[44] 2ff7e9595c
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