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Topic: Polymorphism (computer science)

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	Polymorphism (computer science) - Wikipedia, the free encyclopedia
		In computer science, polymorphism means allowing a single definition to be used with different types of data (specifically, different classes of objects).
		Polymorphism in the language ML and its close relatives is predicative.
		In these languages, subtyping polymorphism (sometimes referred to as dynamic polymorphism or dynamic typing) allows a function to be written to take an object of a certain type T, but also work correctly if passed an object that belongs to a type S that is a subtype of T (according to the Liskov substitution principle).
	en.wikipedia.org /wiki/Polymorphism_(computer_science) (2951 words)

	Reference.com/Encyclopedia/Polymorphism (computer science) (Site not responding. Last check: 2007-11-06)
		In computer science, polymorphism is the idea of allowing the same code to be used with different classes of data (which classes in typed languages correspond to types), resulting in more general and abstract implementations.
		This type of polymorphism is similar to the impredicative polymorphism but a little less powerful in the sense that the type applications can only take actual concrete types as arguments while in impredicative polymorphism, type application can be passed arbitrary type schemas as argument(s).
		This is sometimes used by computer viruses, computer worms and shellcodes to hide the presence of their decryption engines.
	www.reference.com /browse/wiki/Polymorphism_(computer_science) (2238 words)

	COMPUTER SCIENCE (Site not responding. Last check: 2007-11-06)
		Computer science is the systematic study of algorithmic methods for representing and transforming information, including their theory, design, implementation, application, and efficiency.
		Applicants to the computer science program should bring a copy of their current UB DARS report directly to the Department of Computer Science and Engineering by October 1 or February 1 of the semester after the four required courses are completed.
		Admission into the computer science minor is based on completion of any three of the courses that constitute a minor in computer science with a minimum GPA of 2.5 in those courses.
	undergrad-catalog.buffalo.edu /cat9900/computer.htm (3485 words)

	CS Catalog
		The computer science curriculum is designed to accommodate students who want professional preparation in computer science but do not necessarily have a strong interest in computer systems hardware.
		The curriculum consists of major components in computer science, a minor or technical support area, and a core of courses from the social sciences, life sciences, and humanities.
		Focus on brain theories that are important for modern computer science and, in particular, on models of sensory perception, sensory-motor coordination, and cerebellar and cerebral structure and function.
	www.cs.ucla.edu /csd/cs_catalog.html (6318 words)

	SMC Computer Science - Catalogue (Site not responding. Last check: 2007-11-06)
		in Computer Science is structured to provide the student with the core Computer Science courses needed for the bachelor of science (BS) degree and yet allow the advanced student to emphasize one of a number of Computer Science applications.
		The curriculum prepares the major to pursue a career in the computer industry or to continue studying computer science at the graduate level.
		For example, if you decide on a Computer Science major at the beginning of your second year, it is still possible to complete the degree requirements in the three years you have left by doubling up on CS courses during some of the semesters.
	academics.smcvt.edu /compsci/catalogue.htm (1602 words)

	Computer Science
		Introduction to programming principles and engineering problem solving via computational means using MATLAB (during the first half of the semester) and C (during the second half of the semester).
		No background in computer technology is required or assumed beyond the ability to use a computer to send e-mail, browse the web, and write papers.
		Scientific computation relevant to computer science and engineering; floating-point arithmetic, systems of linear equations (direct and iterative techniques), nonlinear equations (univariate and multivariate), interpolation and differentiation (divided differences), integration (mechanical and Gaussian quadratures, optimal quadratures), approximation by spline functions (natural splines and B- splines, optimality of splines).
	www.acs.utah.edu /gencatalog/crsdesc/cp_sc.html (4752 words)

	Computer Science
		This course puts the components of computer science in context, serving as an overview for students specializing in computational disciplines and alerting all students to important subtleties that may arise when applying computation in their studies, research, and work.
		This course introduces the formal foundations of computer science, the fundamental limits of computation, and the limits of efficient computation.
		The goal of the course is to bring students up to the frontiers of computer graphics research and prepare them for their own research.
	pr.caltech.edu /catalog/courses/listing/cs.html (3023 words)

	Computer Science Department
		Now, computer scientists working in research and development are striving to make robots practical aides which demonstrate some aspects of intelligence, are using databases to discover new knowledge, and are using computers to help map human DNA as well as the DNA of other animals.
		Computer Science 311, which meets the university requirements for an upper-division writing course, must be completed before the senior year.
		This shall include Computer Science 440, 461, 589, 597 or 598; one of 541, 542, 543, 544, 545, 546, 547 or 548; and 15 units of electives (9 units must be at the 500 level).
	www.fullerton.edu /catalog/academic_departments/cpsc.asp (4203 words)

	Computer Science: Publication: First-class polymorphism for ML
		Computer Science: Publication: First-class polymorphism for ML Skip to main section
		Polymorphism in ML is implicit: type variables are silently introduced and eliminated.
		Certain polymorphic functions cannot be expressed as functors, because implicit type parameters of polymorphic functions are in one respect more powerful than formal type parameters of functors.
	www.cs.kent.ac.uk /pubs/1994/568 (200 words)

	What is polymorphism? - A Word Definition From the Webopedia Computer Dictionary
		In object-oriented programming, polymorphism refers to a programming language's ability to process objects differently depending on their data type or class.
		For example, given a base class shape, polymorphism enables the programmer to define different area methods for any number of derived classes, such as circles, rectangles and triangles.
		Polymorphism is considered to be a requirement of any true object-oriented programming language (OOPL).
	www.webopedia.com /TERM/p/polymorphism.html (147 words)

	COMPUTER SCIENCE
		This course is recommended for people who are not majoring in computer science but would like an introductory course in writing programs.
		A specific computer language will be used for the implementation of the problem solving process, and programming assignments will be given so the student can demonstrate mastery of the language and the problem solving techniques used.
		Theory of Computing is a study of computation theory encompassing three broad categories: formal languages and automata theory, computability theory, and complexity theory.
	www.ucok.edu /registrar/cats/cCMSC.HTML (1951 words)

	Skyline College: Computer Science
		The Computer Science offerings at Skyline College are intended to give students a solid foundation in computer programming, as well as an opportunity to investigate personal computer use with a micro computer, and the societal implications of our growing use and dependence on computerized technology.
		The Survey of Personal Computer Applications (Comp 110) is intended to allow students to explore the use of the personal computer through an introduction to a variety of appliations.
		This course is recommended for students who plan to transfer and major in computer science and those interested in learning the C programming language.
	www.smccd.net /accounts/skyline/smt/compsci.html (1146 words)

	Allendale Columbia: Computer Science
		The goal of the Computer Science Department is to enable the students to use the computer as an efficient tool, whether it is to write an English paper, design an algorithm which calculates pi or develop problem-solving skills.
		This course is both a graduation requirement and a prerequisite for subsequent computer science courses.
		This course provides the student with a firm grounding in the study of computation and prepares the student for the Advanced Placement Computer Science course.
	www.allendalecolumbia.org /page.cfm?p=118 (457 words)

	Computer Science
		Instruction and hands-on experience are provided in the proper care, safety, maintenance, and use of computers, networking equipment and software tools, as well as local, state, and federal safety, building, and environmental codes and regulations.
		An overview in such areas as history of computing, evolution of programming languages, data representation, computer organization, computer architecture, algorithms and data structures, alternative paradigms, theory of computation, concurrence, artificial intelligence, and software engineering.
		Extensive computer programming is used to illustrate the algorithms and implementations of arrays, lists, stacks, queues, trees and heaps.
	www.sunyacc.edu /page70 (1738 words)

	Computer Science
		The curriculum in Liberal Arts and Sciences leading to a bachelor of science degree with a major in computer science is designed to prepare students for positions as computer scientists with business, industry, or government, or for graduate study in computer science.
		Thus, for computer science majors, this premajor serves as a necessary prerequisite to all the other courses offered by the Department.
		Design and development of advanced computer communication networks: distributed and failsafe routing in large and dynamic networks, gateways and interconnection of heterogeneous networks, flow control and congestion avoidance techniques, network architectures, communication protocol standards, formal specification and verification of protocols, implementation and conformance testing of protocol standards, network security and web computing.
	www.iastate.edu /~catalog/2001-03/courses/coms.html (3313 words)

	Department Of Computer Science (Site not responding. Last check: 2007-11-06)
		This course teaches basic computer literacy/programming skills: disk operating system (DOS) commands (to format disks and to create, manipulate, and remove directories and files), the authoring of ASCII text files, compiler usage in converting source programs into executable form, printer commands.
		CS 1337 Computer Science I (3 semester hours) Introduction to object-oriented software analysis, design, and development.
		CS 4340 Computer Architecture (3 semester hours) Boolean algebra and logic circuits; register transfer operations; design of a small computer; input, output, and interrupt organization; powerful addressing modes, instruction formats, and their hardware structures; microprogram control.
	www.cs.utdallas.edu /academics/ugcourses.html (1684 words)

	SOU Catalog
		Computer science is an exciting and growing field with career opportunities ranging from running a small business to working in big industry, government, or education.
		Because computer science options are similar, students do not need to choose one until their sophomore or junior year.
		In addition to the general requirements for entrance, the Computer Science Department requires a year of programming; an introduction course in databases, including normalization and SQL; and an introductory course in networks.
	www.sou.edu /catalog/03-04/html/CIS.html (2302 words)

	COMPUTER SCIENCE
		History of computers and computing, computer hardware, algorithm development, computer software, introduction to programming in BASIC, social and ethical issues in computing, computer applications involving word processing, spreadsheets, and data base management systems.
		History of computing, computer organization, computer applications, algorithm design, stepwise refinement of algorithms, structured programming using C++, array representation of data, processing of character data, text file processing, subprograms, and parameter passing.
		Computer graphics for computer science or mathematics students with emphasis on implementation details, algorithms, transformations, coordinates, color models, interactive graphics, and graphics standard languages.
	www.apsu.edu /records/Bulletin/9900/courses/computer_science.htm (1018 words)

	Computer Science (Site not responding. Last check: 2007-11-06)
		A hands-on introduction to computer usage with an emphasis on terminology and the underlying connections within the discipline.
		Credit for either COSC 320 or 493, but not both, may count toward computer science major requirements for graduation; the other course credits are free electives.
		Foundations in primitives, geometry, and algorithms of passive computer graphics are the principal focus.
	www.iup.edu /registrar/catalog/course/cosc.shtm (2135 words)

	Computer Science (COMP) (Site not responding. Last check: 2007-11-06)
		While a bachelor's degree in Computer Science is not required, admission without deficiency requires that an applicant has completed courses in analysis of algorithms, operating systems, database, and linear algebra.
		Students for whom English is not the native language are required to have a score of at least 550 on the paper-based TOEFL (Test of English as a Foreign Language) examination or at least 213 on the computer-based TOEFL.
		Students in the Computer Science graduate program at Penn State Harrisburg must take at least 21 or 24 (depending on the option) of the required 30 graduate credits at the 500 level.
	www.hbg.psu.edu /hbg/programs/gradprog/comp.html (2344 words)

	Computer Science
		This is an intensive course for graduate students with a limited background in computer architecture.
		Topics from the principles of computer organization and architecture include: number systems, digital logic, and assembly and machine language with a focus on concepts.
		Computer architecture, operating systems, and the integration of the two into usable computer systems.
	www.spsu.edu /catalog/00-02/grad/courses/cs.htm (1170 words)

	Computer> Database [encyclopedia] (Site not responding. Last check: 2007-11-06)
		However, polymorphism complicates OO DBs because clients in general only have access to an abstract pointer to an object to be accessed; in other words, unlike the well-defined relational model, in the object model the application program does not know the concrete type of the objects it is accessing).
		Note that writing "object-relational" mapping software is a non-trivial task due to the polymorphic nature of containers in the object paradigm; in other words, it is not as simple as "take all fields in a record, copy them into the object, and voila!
		So not only most, if not all, of the impedance mismatch problem goes away, but also much application logic and integrity constraints can also be implemented in the database, much simplifying both coding and operation.
	www.kosmoi.com /Computer/Database (1253 words)

	Andrew Pitts - On-line Publications
		Formal Aspects of Computing 13(2002)341-363, special issue in honour of Rod Burstall.
		A. Pitts, Tripos Theory in Retrospect, Mathematical Structures in Computer Science 12(2002) 265-279.
		Electronic Notes in Theoretical Computer Science 41(2000), p70-88.
	www.cl.cam.ac.uk /~amp12/papers (1141 words)

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