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Articles 2611 - 2640 of 3840
Full-Text Articles in Physical Sciences and Mathematics
Ceg 476/676: Computer Graphics I, Thomas Wischgoll
Ceg 476/676: Computer Graphics I, Thomas Wischgoll
Computer Science & Engineering Syllabi
By the end of this quarter, you will have learnt techniques for constructing 2-D and 3-D obects as well as manipulating and rendering the objects using OpenGL.
The outline of the course is as follows:
• Introduction
• Geometric primitives
• Attributes of geometric primitives
• Antialiasing techniques
• Homogeneous coordinate system
• 2-D and 3-D viewing transformations
• Structures and hierarchical modeling
• 2-D and 3-D viewing transformations
• Input devices and interactive techniques •
Visible surface detection methods
Ceg 220: Introduction To C Programming For Engineers I, Robert Helt
Ceg 220: Introduction To C Programming For Engineers I, Robert Helt
Computer Science & Engineering Syllabi
This course provides a general introduction to computers as a problem-solving tool using the C programming language. Emphasis is on algorithms and techniques useful to engineers. Topics include data representation, debugging, and program verification. 4 credit hours. Prerequisite: MTH 229 (Calculus I) or EGR 101 (Engineering Mathematics).
Ceg 402/602: Introduction To Computer Communication, Bin Wang
Ceg 402/602: Introduction To Computer Communication, Bin Wang
Computer Science & Engineering Syllabi
This course provides an introduction to basic concepts of communication networks, different types of networks, protocols over different layers, and network applications through lectures, labs, homework, and reading on relevant materials. You will
• Understand networking principles, protocols, and technologies.
• Understand some design and performance issues involved in providing a network service.
• Acquire background for supporting e-commerce, e-government, and e-education.
• Gain hands-on experience with programming techniques for network protocols.
• Obtain background for original research in computer networks.
Ceg 420/620: Computer Architecture, Jack Jean
Ceg 420/620: Computer Architecture, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 460/660: Introduction To Software Computer Engineering, John A. Reisner
Ceg 460/660: Introduction To Software Computer Engineering, John A. Reisner
Computer Science & Engineering Syllabi
This course introduces established practices for engineering large-scale software systems. Emphasis is placed on both the technical and managerial aspects of software engineering, and the software development process. This includes techniques for requirements elicitation, analysis, design, testing, and project management. The course emphasizes object-oriented development with the Unified Modeling Language (UML). Hands-on experience is provided through individual homework problems and a partnered project.
Ceg 453/653: Design Of Computing Systems, Jack Jean
Ceg 453/653: Design Of Computing Systems, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 360/560 Ee 451/651: Digital System Design, Travis E. Doom
Ceg 360/560 Ee 451/651: Digital System Design, Travis E. Doom
Computer Science & Engineering Syllabi
Design of digital systems. Topics include flip-flops, registers, counters, programmable logic devices, memory devices, register-level design, and microcomputer system organization. Students must show competency in the design of digital systems. 3 hours lecture, 2 hours lab. Prerequisite: CEG 260.
Ceg 498: Design Experience, Thomas C. Hartrum
Ceg 498: Design Experience, Thomas C. Hartrum
Computer Science & Engineering Syllabi
CEG 498 (Design Experience) is a summative computer engineering design project course that builds upon previous engineering, science, mathematics and communications course work. CEG 498 projects are a minimum of two quarters in length and must be completed in groups of at least three students. Projects are selected under the guidance of the course instructor and are tailored to both student interest and formal classroom preparation. Students are evaluated both on their individual contributions as recorded in a graded engineering journals and on the quality of their collective efforts as reflected in group generated products.
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.
Ceg 790: Emerging Networks, Bin Wang
Ceg 790: Emerging Networks, Bin Wang
Computer Science & Engineering Syllabi
This is a graduate level course on emerging networking technologies. The course involves a reading/lecture/presentation/discussion component, paper review component, and a project component. It will provide an in-depth study on a number of focused areas: dense wavelength division multiplexing (DWDM) optical networks, optical burst switching networks, peer-to-peer networks, and wireless mobile networks (including Ad-hoc wireless networks, sensor networks). Various technical and research issues involved will be studied. These areas of emerging networking technologies will play central roles in future communication networks.
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.
Cs 208: Computer Programming For Business I, Dennis Kellermeier
Cs 208: Computer Programming For Business I, Dennis Kellermeier
Computer Science & Engineering Syllabi
No abstract provided.
Cs 214: Object-Based Programming, Eric Maston
Cs 214: Object-Based Programming, Eric Maston
Computer Science & Engineering Syllabi
This course is a basic introduction to object oriented programming utilizing the Visual Basic programming language.
Cs 209: Computer Programming For Business Ii, Dennis Kellermeier
Cs 209: Computer Programming For Business Ii, Dennis Kellermeier
Computer Science & Engineering Syllabi
No abstract provided.
Cs 241: Introduction To Computer Science Ii, Praveen Kakumanu
Cs 241: Introduction To Computer Science Ii, Praveen Kakumanu
Computer Science & Engineering Syllabi
This course is the second in the three course sequence "Introduction to Computer Science" offered by the Computer Science department, WSU. It focuses on tools for building abstract data types (using structure and class concepts in C++) and Object-Oriented Programming. We also begin the study of data structures in this course.
Cs 240: Introduction To Computer Science I, L. Jane Lin
Cs 240: Introduction To Computer Science I, L. Jane Lin
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement.
Cs 242: Introduction To Computer Science Iii, Praveen Kakumanu
Cs 242: Introduction To Computer Science Iii, Praveen Kakumanu
Computer Science & Engineering Syllabi
This is the final course in the three course sequence "Introduction to Computer Science" offered by the Computer Science department, WSU. It focuses on building a number of abstract data types such as stacks, queues, trees and tables. We continue to study the C++ object-oriented concepts such as Inheritance, polymorphism and template handling. We also
start learning to analyze the complexity of algorithms in this course.
Cs 400/600: Data Structures And Software Design, Natsuhiko Futamura
Cs 400/600: Data Structures And Software Design, Natsuhiko Futamura
Computer Science & Engineering Syllabi
In this course, students will learn basic data structures and how to design and analyze and implement software. Course covers introduction to the fundamentals of complexity and analysis and study of common problems and solutions using various data structures. After taking this course, students are expected to be able to design reasonable software for problems and estimate (evaluate) the performance of them even without writing the software.
Cs 340: Programming Language Workshop In C#, Krishnaprasad Thirunarayan
Cs 340: Programming Language Workshop In C#, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course is designed as a self-study in C#. You are expected to learn the language and solve a set of programming problems assigned to you using MS Visual Studio .NET. There are no exams. We officially meet only once in the quarter. However, I will be available in the posted office hours for clarifications and discussions about the programming problems.
Cs 340: Programming Language Workshop In Java, Ronald F. Taylor
Cs 340: Programming Language Workshop In Java, Ronald F. Taylor
Computer Science & Engineering Syllabi
This course is designed as a self-study in Java. You are expected to work independently to learn the Java language and solve a set of programming problems assigned to you using latest Java SDK available at http://java.sun.com or' other software as approved by the instructor. There are no exams. We officially meet only once in a quarter. However, I will be available in the posted office hours for clarifications and general discussion of the programming assignments. Do not expect support in debugging badly documented code.
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 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 466/666: Introduction To Formal Languages, Thomas Sudkamp
Cs 466/666: Introduction To Formal Languages, Thomas Sudkamp
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 can be recognized by the computations of 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.
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 knowledge from large amounts of data. This course introduces and studies the 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 480/680: Comparative Programming Languages, Michael L. Raymer
Cs 480/680: Comparative Programming Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 784: Programming Languages, Krishnaprasad Thirunarayan
Cs 784: Programming Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course introduces concepts related to the specification and design of high-level programming languages. It discusses different programming paradigms, algebraic specification and implementation of data types, and develops interpreters for specifying operationally the various programming language features/constructs. It also introduces attribute grammar formalism and axiomatic semantics briefly. The programming assignments will be coded in Scheme.
Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer
Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer
Computer Science & Engineering Syllabi
Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theory, complexity theory, dynamic programming and optimization techniques are introduced in the context of application toward solving specific computational problems in molecular genetics. 4 credit hours.
Wissensmanagement Profitiert Von Semantiktechnologien, Pascal Hitzler, Rudi Studer
Wissensmanagement Profitiert Von Semantiktechnologien, Pascal Hitzler, Rudi Studer
Computer Science and Engineering Faculty Publications
In der Forschung um das Semantic Web werden Technologien entwickelt, die auf breites Interesse in vielen Anwendungsgebieten stoßen. So z.B. im Wissensmanagement und im Ubiquitous Computing.
Allometric Extension For Multivariate Regression Models, Thaddeus Tarpey, Christopher T. Ivey
Allometric Extension For Multivariate Regression Models, Thaddeus Tarpey, Christopher T. Ivey
Mathematics and Statistics Faculty Publications
In multivariate regression, interest lies on how the response vector depends on a set of covariates. A multivariate regression model is proposed where the covariates explain variation in the response only in the direction of the first principal component axis. This model is not only parsimonious, but it provides an easy interpretation in allometric growth studies where the first principal component of the log-transformed data corresponds to constants of allometric growth. The proposed model naturally generalizes the two–group allometric extension model to the situation where groups differ according to a set of covariates. A bootstrap test for the model is …