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Articles 1951 - 1980 of 13195
Full-Text Articles in Entire DC Network
The Opinion Volume 46 Issue 2 – October 1, 2008, The Opinion
The Opinion Volume 46 Issue 2 – October 1, 2008, The Opinion
The Opinion Newspaper (all issues)
The Opinion newspaper issue dated October 01, 2008
The University Of Texas At Tyler Magazine (Fall 2008), University Of Texas At Tyler
The University Of Texas At Tyler Magazine (Fall 2008), University Of Texas At Tyler
UT Tyler Magazine
This issue of UT Tyler Magazine includes: President's Letter; Around Campus: Chemistry Professor Receives Grant, Patterson Named VP of Student Affairs, FOS Appointed Provost/VP of Academic Affairs, Palestine Students Elected to TNSA Board, University Mission Statement Approved, Phi Kappa Phi Honor Society, Don King 'Only in America' Scholarship Recipients, Community Leaders to Oversee Minority Affairs Council, New Director of Student Life and Leadership; Outstanding Marketing Educator, UT Tyler Professor Honored for Innovative Teaching; Journey to Success, Leading financial Adviser Says UT Tyler Put Her on the Right Path; Quiet Dedication, Lasting Impact, Jack and Dorothy Fay White Strong Supporters of …
Adapting Ranking Functions To User Preference, Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, Gordon Sun
Adapting Ranking Functions To User Preference, Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, Gordon Sun
Kno.e.sis Publications
Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, which is expensive to get for training a satisfactory ranking function. The demands for generating specific web search ranking functions tailored for different domains, such as ranking functions for different regions, have aggravated this problem. Recently, a few methods have been proposed to extract training examples from user clickthrough log. Due to the low cost of getting user preference data, it is attractive to combine these examples in training ranking functions. However, because of the …
Description Logic Reasoning With Decision Diagrams: Compiling Shiq To Disjunctive Datalog, Sebastian Rudolph
Description Logic Reasoning With Decision Diagrams: Compiling Shiq To Disjunctive Datalog, Sebastian Rudolph
Kno.e.sis Publications
We propose a novel method for reasoning in the description logic SHIQ. After a satisfiability preserving transformation from SHIQ to the description logic ALCIb, the obtained ALCIb Tbox T is converted into an ordered binary decision diagram (OBDD) which represents a canonical model for T. This OBDD is turned into a disjunctive datalog program that can be used for Abox reasoning. The algorithm is worst-case optimal w.r.t. data complexity, and admits easy extensions with DL-safe rules and ground conjunctive queries.
A Matter Of “Ba”: Knowledge Creation And Dissemination By Library Faculty At Grand Valley State University, Debbie Morrow
A Matter Of “Ba”: Knowledge Creation And Dissemination By Library Faculty At Grand Valley State University, Debbie Morrow
Scholarly Papers and Articles
What is “ba”? I am not a Japanese-speaker; I’m not deeply acquainted with Japanese culture. But in reading about ba and “learning organizations” and knowledge creation, it’s been very easy for me to discern seeds of ba at Grand Valley. In the effort underway for several years now to allow each discipline to define its own benchmarks and best practices, to develop its own specific guidelines for progress toward tenure and promotion, I see elements of ba. In support systems such as the Pew Faculty Teaching & Learning Center and its programs, I perceive ba. And most significantly, in the …
Department Of Philosophy Alumni Newsletter, Vol. 11, Fall 2008, Illinois State University, Department Of Philosophy
Department Of Philosophy Alumni Newsletter, Vol. 11, Fall 2008, Illinois State University, Department Of Philosophy
Philosophy Alumni Newsletter
Newsletter of the Illinois State University Departmetn of Philosophy
Ceg 770: Computer Engineering Mathematics, Yong Pei
Ceg 770: Computer Engineering Mathematics, Yong Pei
Computer Science & Engineering Syllabi
Computer Engineering and Science students need proficiency in relevant applied mathematics to be able to discover and model difficult real-world computer engineering and science problems. The relationship of these problems to mathematical theory will be discussed. This course provides an introduction to linear and nonlinear programming, probability and stochastic process, and queueing theory. In addition to mathematical theory, appropriate applications will be presented.
Cs 705: Introduction To Data Mining, Guozhu Dong
Cs 705: Introduction To Data Mining, Guozhu Dong
Computer Science & Engineering Syllabi
Data mining is concerned with the extraction of novel and useful knowledge from large amounts of data. This course introduces and studies the fundamental concepts, issues, tasks and techniques of data mining. Topics include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, scalability, spatial and sequence mining, privacy, and data mining applications. 3 hours lecture, 2 hours lab.
Cs 766: Evolutionary Computation, Mateen M. Rizki
Cs 766: Evolutionary Computation, Mateen M. Rizki
Computer Science & Engineering Syllabi
This course explores evolutionary computation from a historical, theoretical, and application viewpoint. An overview of the most common evolutionary search techniques are presented including genetic algorithms, evolutionary programming, evolutionary strategies, and genetic programming. The fundamental issues driving the choice of problem representation and specific genetic operators are discussed. Various applications of evolutionary computation to problems in control, optimization, and pattern recognition are examined.
Cs 141: Computer Programming - I, Michael Ondrasek
Cs 141: Computer Programming - I, Michael Ondrasek
Computer Science & Engineering Syllabi
This course provides a general introduction to the fundamentals of computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. The concepts covered will be applied to the Java programming language. Students must register for both lecture and one laboratory section. 4 credit hours. Prerequisite: MTH 127 (College Algebra) or equivalent.
Ceg 320/520: Computer Organization And Assembly Language Programming, Travis E. Doom
Ceg 320/520: Computer Organization And Assembly Language Programming, Travis E. Doom
Computer Science & Engineering Syllabi
Terminology and understanding of functional organizations and sequential operation of a digital computer. Program structure, and machine and assembly language topics including addressing, stacks, argument pasing, arithmetic operations, traps, and input/output. Macros, modularization, linkers, and debuggers are used.
Cs 466/666: Introduction To Formal Languages, Guozhu Dong
Cs 466/666: Introduction To Formal Languages, Guozhu Dong
Computer Science & Engineering Syllabi
CS 466/666 is an introduction to formal language and automata theory. In this course we will examine methods for defining syntax of languages and recognizing patterns: the syntax of languages can be defined using grammars and patterns accepted by finite state machines. Along with presenting the fundamentals of these two topics, the course will develop and investigate the relationships between language definition and pattern recognition. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science, by Thomas Sudkamp.
Cs 409/609: Principles Of Artificial Intelligence, Shaojun Wang
Cs 409/609: Principles Of Artificial Intelligence, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 240: Introduction To Computer Science I, Mateen M. Rizki
Cs 240: Introduction To Computer Science I, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 415: Social Implications Of Computing, Leo Finkelstein
Cs 415: Social Implications Of Computing, Leo Finkelstein
Computer Science & Engineering Syllabi
CS 415 is a communication skills course using as its subject matter current salient issues associated with the social implications of computing. In addition to the course text, you will need to use certain reading materials in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.
Cs 241: Introduction To Computer Science Ii, Ronald F. Taylor
Cs 241: Introduction To Computer Science Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
A continuation of CS 240. Emphasis is on solving more complex problems using object oriented programming. Prerequisite: CS 240. 4 credit hours.
Cs 400/600: Data Structures And Software Design, Keke Chen
Cs 400/600: Data Structures And Software Design, Keke Chen
Computer Science & Engineering Syllabi
This course will cover the implementation of classical data structures and control structures, an introduction to the fundamentals of algorithm design and analysis, and the basic problem solving techniques.
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, John C. Gallagher
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, John C. Gallagher
Computer Science & Engineering Syllabi
Digital Computer Hardware. Topics include switching algebra and switching
functions, logic design of combinational and sequential circuits using TTL,
combinational logic design with MSI and LSI, busing, storage elements, and
instrumentation.
Cs 205-08: Introduction To Computers And Office Productivity Software, Kim Gros
Cs 205-08: Introduction To Computers And Office Productivity Software, Kim Gros
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including word processing (intermediate), spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.
Cs 410/610: Theoretical Foundations Of Computing, Thomas Sudkamp
Cs 410/610: Theoretical Foundations Of Computing, Thomas Sudkamp
Computer Science & Engineering Syllabi
This course is an introduction to one of the fundamental topics in the theory of computer science: computability theory. Computability theory is concerned with determining whether there is an algorithmic solution to a problem. The study of computability uses the Turing machine as the basic computational model. A Turing machine is a random access, read-write, finite state automaton. Although the Turing machine provides a simple computational framework, the Church-Turing thesis asserts that any problem that can be solved in any algorithmic manner can be solved by a Turing machine.
Cs 480/680: Comparative Programming Languages, Michael L. Raymer
Cs 480/680: Comparative Programming Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 221: Advanced C Programming For Engineers, Robert Helt
Ceg 221: Advanced C Programming For Engineers, Robert Helt
Computer Science & Engineering Syllabi
This course introduces advanced constructs, algorithms, and data structures in the C programming language. Emphasis is on problem solving and techniques useful to engineers. Topics include functions, array, pointers, structures as well as sorting algorithms, linked lists, complex numbers, stacks, queues, hash tables, and binary trees.
Ceg 724: Computer Vision I, Arthur A. Goshtasby
Ceg 724: Computer Vision I, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course covers basic techniques for low-level and some mid-level vision. The techniques include: camera calibration, image filtering and edge detection, image segmentation and feature selection, and stereo depth perception.
Ceg 355: Introduction To The Design Of Information Technology Systems, Thomas C. Hartrum
Ceg 355: Introduction To The Design Of Information Technology Systems, Thomas C. Hartrum
Computer Science & Engineering Syllabi
Introduction to the design of information systems comprising modern technologies such as SQL database programming, networks, and distributed computing with CORBA, electronic and hypertext (HTML) documents, and multimedia.
This course is concerned with the techniques of designing and implementing distributed business software. Emphasis is on developing graphical user interfaces (GUIs) using Java Swing classes, storing and accessing data in a relational database using SQL, and implementing a distributed system using CORBA technology. Especially in light of Java and CORBA, there is a focus on object-oriented programming. The overall objective is to make the student aware of the technology available to …
Ceg 720: Computer Architecture I, Soon M. Chung
Ceg 720: Computer Architecture I, Soon M. Chung
Computer Science & Engineering Syllabi
Review of sequential computer architecture and study of parallel computers. Topics include memory hierarchy, reduced instruction set computer, pipeline processing, multiprocessing, various parallel computers, interconnection networks, and fault-tolerant computing.
Cs 214: Visual Basic Programming, Vanessa Starkey
Cs 214: Visual Basic Programming, Vanessa Starkey
Computer Science & Engineering Syllabi
This course will cover the fundamentals of object-oriented computer programming including design, structure, debugging, and testing. Visual Basic 2008 will be used for developing programs.
Ceg 433/633: Operating Systems, Prabhaker Mateti
Ceg 433/633: Operating Systems, Prabhaker Mateti
Computer Science & Engineering Syllabi
Overview of operating systems internals. File-system usage and design, process usage and control, virtual memory, multi user systems, access control. Course projects use C++ language.
Ceg 399: Introduction To Software Testing, John A. Reisner
Ceg 399: Introduction To Software Testing, John A. Reisner
Computer Science & Engineering Syllabi
This course covers software testing strategies, along with established best practices, so students learn how to test their software in a complete and systematic (vice ad-hoc) manner. Particular attention is paid to planning, writing, and executing software testing documentation, i.e., software test plan, to include documented results. Various projects are assigned, designed to illustrate various challenges associated with software testing, and to reinforce the strategies and techniques used to overcome these challenges
Ceg 777: Computer Aided Geometric Design, Arthur A. Goshtasby
Ceg 777: Computer Aided Geometric Design, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course covers the fundamentals of geometric modeling, including design of curves and surfaces, composite curves and surfaces, and subdivision techniques for creating free-form shapes.
Ceg 210: Pc Networking I, Karen Meyer
Ceg 210: Pc Networking I, Karen Meyer
Computer Science & Engineering Syllabi
Introduction to networking technologies including infrastructure and architectures, standards, protocols and directory services, administration, security and management. Integrated lecture and lab.