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| | Computer Science Department Course Descriptions |
 | | Data Structures and Algorithms II Prerequisites: Computer Science 40 and 130A; and, Computer Science 136 or 138. | | | Prerequisites: Computer Science 10 or 12; and Mathematics 3C. | | | Prerequisites: Mathematics 8 or Computer Science 40 for Computer Science 109A; Computer Science 109A for Computer Science 109B; Computer Science 109B for Computer Science 109C. |
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http://www.cs.ucsb.edu/courses/description.shtml
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| | Computer Science at UALR - Course Description |
| | Prerequisites: Computer Science 2380 and 3375, Mathematics 1305. | | | Prerequisites: Computer Science 2380 and 3383, Mathematics 2310. | | | Prerequisites: Computer Science 2380 and 3375, Mathematics 2310. |
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http://pandora.compsci.ualr.edu/courses.htm
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| | CS Catalog |
| | Artificial intelligence; computer science theory; computer system architecture; computer programming languages and systems: foundation of programming and database and knowledge-based systems; computer network modeling and analysis; scientific computing (two options): biological systems, physical systems. | | | The programs provide comprehensive and strongly related studies of subjects in computer system architecture, computer network modeling and analysis, distributed computer systems, programming languages and systems, artificial intelligence, computer science theory, and scientific computing such as Bioinformatics. |
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http://www.cs.ucla.edu/csd/cs_catalog.html
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| | Category:Computer science - Wikipedia, the free encyclopedia |
| | computation and information processing, both in hardware and in | | | In its most general sense, computer science ( CS or compsci) is the study of | | | computer engineering, although there are significant overlaps and no clear demarcation. |
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http://en.wikipedia.org/wiki/Category:Computer_science
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| | Tompkins Cortland Community College- Computer Science |
| | The Computer Science program focuses on how a computer processes information, as well as programming and software applications that concern computer information systems specialists. | | | Computing Fundamentals II This is a second course in computer science emphasizing algorithms, data structures, and object based design. | | | Therefore, the computer science curriculum has a strong base in math and science, and often leads to graduate study beyond the bachelor’s degree. |
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http://www.sunytccc.edu/academic/comp-sci/main.asp
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| | Colloquia: UNM Computer Science |
| | Born in Vienna, Austria, Maurer studied mathematics and computer science at the Universities of Vienna and Calgary, and was Assistant and later Associate Professor for Computer Science at the University of Calgary 1966-1971. | | | Computer vision: A visual computation is Euclidean invariant if every rotation and translation of its input produces an equal rotation and translation of its output. | | | Eugene H. Spafford is a professor of Computer Sciences at Purdue University, a professor of Philosophy (courtesy appointment), a professor of Communication (courtesy), a professor of Electrical and Computer Engineering (courtesy), and is Executive Director of the Center for Education and Research in Information Assurance and Security. |
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http://www.cs.unm.edu/news_events/colloquia
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| | CSC 412 - COMPUTER SCIENCE PRACTICUM |
| | Computer Crime and Computer Abuse: Type of computer crime and the profile of the computer criminal; hacking and computer security; viruses and computer sabotage; and software piracy and illegal software. | | | May not be used to satisfy requirements toward a minor in computer science or computer information systems. | | | Computers and Social Justice: Computers and equity (race, culture, and social class), gender, and education; computer use/abuse in politics and voting. |
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http://www.cob.sfasu.edu/csc/syllabi/csc412.html
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| | MS in Computer Science |
| | REQUIREMENTS FOR THE M.S. Theory of Computation (3) | | | The Computer Science research facilities are divided into the following laboratories: Programmable Automation, Robotics, Parallel Knowledge Processing, Computer Vision, Brain Simulation, Parallel Computing, Computer Architecture, Computer Networks and Distributed Systems, Computer Networks and Distributed Systems Performance, VLSI Design and Test, VLSI/CAD, Database, Software Engineering, and Computer Animation. | | | REQUIREMENTS FOR THE M.S. The Master of Science program in the Computer Science Department provides intensive preparation in the concepts and techniques related to the design, programming, and application of computing systems. |
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http://www.usc.edu/dept/cs/degree_programs/ms.html
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| | Computer Science |
| | 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). | | | Models of sequential computation, including finite-state automata, push-down automata, and Turing machines. | | | Computer hardware and software for the generation of virtual environments. |
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http://www.acs.utah.edu/GenCatalog/crsdesc/cp_sc.html
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| | Lee and Wybo: "Complementing Computer Science: an Organization-Science Approach to Research on Data-Base ... |
| | Whereas the discipline of computer science typically locates itself in engineering schools and conceptualizes a system primarily in terms of hardware, software, and data, the discipline of information systems typically locates itself in business schools and extends its conception of "system" to include people and their procedures. | | | The technological innovations that the discipline of computer science has contributed to the specific data-management task of safeguarding data integrity are invaluable and irreplaceable. | | | The discipline of computer science has contributed major, technologically based innovations in the management of data. |
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http://www.people.vcu.edu/~aslee/fr-leewy.htm
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| | Dependency - Art History Online Reference and Guide |
| | In computer science, dependency is a state in which one object uses a functionality of another object. | | | A dependent area is a classification of territory. | | | This may cause changes on implementation of one object that can affect implementation of another object. |
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http://www.arthistoryclub.com/art_history/Dependencies
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| | Department of Computer Science |
| | The Department of Computer Science at the University of Illinois at Springfield | | | In general, a rule action is only executed if at least one of the files in the dependency list is not "up to date" with respect to the target. | | | The dependency list mentions all other files that are needed to build the target. |
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http://csc.uis.edu/lager/makefiles.html
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| | [ Computer Science and Engineering ] |
| | This requires the development of the engineering approach through the understanding of engineering mathematics, digital and analog electronics and control, as well as computer languages, computing theory and computer architecture. | | | Introduction to Computing II (Data Structures and Algorithms) | | | The engineering approach and knowledge of computer structure are the attributes that make it unique. |
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http://www.bridgeport.edu/cse/bs_cpe.htm
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| | Courses Computer Science |
| | Computer science principles and algorithms in biological sequence analysis. | | | An introduction to the use of computers for symbolic mathematical computation, involving traditional mathematical computations such as solving linear equations (exactly), analytic differentiation and integration of functions, and analytic solution of differential equations. | | | A rigorous introduction to the field of computational mathematics. |
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http://www.adm.uwaterloo.ca/infoucal/COURSE/course-CS.html
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| | Computer Science Department Policies |
| | The Computer Science Department computing facilities are operated with minimal staff supervision and with as much access for faculty and students as possible. | | | Individuals using this computer system without authority, or in excess of their authority, are subject to having all of their activities on this system monitored and recorded by system personnel. | | | Abuse or misuse of the system, in the judgment of the Computer Science Department System Staff, is a violation of CS Department policy, and may be subject to the penalties outlined below. |
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http://www.cs.hmc.edu/policy.new.html
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| | Homepage of Mat Branyon, Computer Science Student at ULL |
| | Computer Science 250: Introduction to Computer Science and Data Structures and Software Design -- code | | | Computer Science 351: Computer Organization and Assembly Language Programming -- code | | | Homepage of Mat Branyon, Computer Science Student at ULL |
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http://www.ucs.louisiana.edu/~mwb7791
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| | Computer Science |
| | The goal of the computer science effort is to develop algorithms and tools to semi-automatically discover and extract enterprise knowledge in legacy sources in order to support the efficient generation of source wrappers. | | | Wrappers are essential in enabling the exchange of data between heterogeneous systems, which may employ different data models, representations, and query languages to manage their data. | | | Efforts are under way to develop languages and tools for describing resources in a way that can be processed by computers (e.g., Semantic Web). |
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http://www.dbcenter.cise.ufl.edu/seek/compsciresearch.htm
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| | UVA Computer Science: Makefiles Tutorial |
| | A given product file depends on one or more source files, and if any of the source files changes, the product file must be rebuilt. | | | The sources on which a target depends do not necessarily have to be actual files. | | | Make is a utility for handling dependencies within a project. |
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http://www.cs.virginia.edu/~webteam/readme/makefiles.html
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| | Empirical Methods for Computer Science |
| | The purpose of this course is to increase the number of people in computer science who can design and run informative experiments. | | | Some of the examples in my lectures are from Artificial Intelligence, but the course is more general in its scope, and I encourage students from other areas of computer science to take it. | | | Hypothesis testing with parametric and computer intensive methods. |
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http://eksl-www.cs.umass.edu/courses/cs691a.html
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| | category:computer_science |
| | Read about category computer science in the free online encyclopedia and dictionary. | | | Research category computer science in over 34 million articles | | | Easily expand your search for category computer science at HighBeam Research, a collection of thousands of magazines, journals, newspapers and more. |
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http://www.articlesgalore.com/documents/Category:Computer_science
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| | Computer Science 3999 |
| | (4.3) The notion of minimal cover and algorithm for computing a minimal cover. | | | (4.4) The notion of candidate keys and the algorythm for computing all candidate keys. | | | Copyright © 1997 Dept. of Computer Science, Lousiana State University |
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http://bit.csc.lsu.edu/~courses/csc4402.html
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| | Arizona Computer Science: 460 Course Description |
| | A Department of Computer Science computer account is required for this course, and must be applied for by Friday, August 29. | | | The topics covered include: data models, storage structures, database query languages, logical database design, dependency theory, and query optimization. | | | Groups of three or four students solve problems during class, thus enabling collaborative learning. |
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http://www.cs.arizona.edu/classes/cs460/fall05?M=A
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| | Computer Science: Prof. Yu |
| | Eric Yu received his Ph.D. degree in computer science from the University of Toronto in 1995. | | | He has a Bachelor's degree in electrical engineering from the University of Toronto, and a Master's degree in computer science from the University of Waterloo. | | | He joined the Faculty of Information Studies, University of Toronto, as an Assistant Professor in 1995, with a cross-appointment to the Department of Computer Science. |
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http://www.cs.toronto.edu/DCS/People/Faculty/eric.html
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| | Department of Computer Science |
| | Functional dependencies are the most important dependencies in database design. | | | The answer is that depends on the semantics of STC. | | | However there are forms of redundancy that cannot be detected from functional dependencies, but can be detected using other dependencies. |
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http://homepages.feis.herts.ac.uk/~msc_db/w6.html
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| | Computer Science 157 |
| | Nahourail and Petry, Object-oriented Database, IEEE Computer Society Press, 1991. | | | Concepts and structures for implementation of database management systems; file and data organization, descriptions, integrity of data models, Semantic Data model; Relational algebra: Union, Intersection, Cartesian product, Natural Join, Equi-join, Division; Pitfalls in Relational database design; distributed DB; Functional dependency; Armstrong’s Axioms of FD; Closure; Multi-valued dependencies; Normal Form: 1 | | | P.Hellman, The science of database management, Irwin, 1994. |
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http://www.mathcs.sjsu.edu/faculty/lee/cs157.html
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| | Computer Science Seminars |
| | QC > CS Dept > Computer Science Seminars | | | Exploiting Headword Dependency and Predictive Clustering for Language Modeling Abstract | | | E-community and Live-Data Education Materials to Enhance Interdisciplinary Science and Technology Training Abstract |
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http://www.cs.qc.edu/seminars
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