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Articles 2311 - 2340 of 3840
Full-Text Articles in Physical Sciences and Mathematics
Ceg 360/560 Ee 451/651: Digital System Design, Meilin Liu
Ceg 360/560 Ee 451/651: Digital System Design, Meilin Liu
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.
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 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 journal and on the quality of their collective efforts as reflected in group generated products.
Student groups meet with the …
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.
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 geometry, image filtering and edge detection, color and texture analysis, image segmentation, and stereo depth perception.
Ceg 760: Advanced Software Computer Engineering, Thomas C. Hartrum
Ceg 760: Advanced Software Computer Engineering, Thomas C. Hartrum
Computer Science & Engineering Syllabi
This course covers advanced topics in software engineering. Aspects of problem specification, design, verification, and evaluation are discussed. We will focus on design methods, including software patterns and software architecture, plus some advanced topics involving formal methods of software specification or evaluation using software metrics. Students will participate in team projects to apply the methods discussed.
Ceg 730: Distributed Computing Principles, Prabhaker Mateti
Ceg 730: Distributed Computing Principles, Prabhaker Mateti
Computer Science & Engineering Syllabi
Communicating sequential processes, clients and servers, remote procedure calls, stub generation, weak and strong semaphores, split-binary-semaphores, and distributed termination. Example languages: SR, Linda.
Ceg 777: Computer Aided Geometric Design, Arthur A. Goshtasby
Ceg 777: Computer Aided Geometric Design, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
To cover the fundamentals of geometric modeling, including design of curves and surfaces, composite curves and surfaces, and subdivision techniques for creation of free-form shapes.
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 (D\VDM) 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. 4 credit hours. Prerequisite: MTH 127 (College Algebra) or equivalent.
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 206-02: Advanced Concepts/Techniques And Software Productivity Tools, John P. Herzog
Cs 206-02: Advanced Concepts/Techniques And Software Productivity Tools, John P. Herzog
Computer Science & Engineering Syllabi
By the end of this course, the students will have a greater depth of understanding in the areas of word processing, spreadsheets, databases, and presentation software and web design using Microsoft Word, Microsoft FrontPage, Microsoft Excel, Access, and PowerPoint.
Cs 208: Computer Programming For Business I, Dennis Kellermeier
Cs 208: Computer Programming For Business I, Dennis Kellermeier
Computer Science & Engineering Syllabi
CS 208 is the first of a two quarter sequence in programming for business students. It is required for Management Information Science majors. The courses are designed to help students achieve a high degree of facility in intermediate level programming. This course assumes students have never written a program before.
Cs 214: Visual Basic Programming, Michael Ondrasek
Cs 214: Visual Basic Programming, Michael Ondrasek
Computer Science & Engineering Syllabi
This course provides a general introduction to the fundamentals of object computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. However, students should have a familiarity with programming concepts. The concepts covered will be applied in the Visual Basic programming language. 4 credit hours.
Cs 240: Computer Programming I, Travis E. Doom
Cs 240: Computer Programming I, Travis E. Doom
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.
Cs 240: Computer Programming I, L. Jane Lin
Cs 240: Computer Programming 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 241: Introduction To Computer Science Ii, Haiyun Bian
Cs 241: Introduction To Computer Science Ii, Haiyun Bian
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. Concepts introduced in CS 240 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, basic sorting algorithms, recursion, graphics, development of user interfaces and exception handling. Student must register for one lecture section and one lab section.
Cs 399: Computational Science Programming And Algorithms, Ronald F. Taylor
Cs 399: Computational Science Programming And Algorithms, Ronald F. Taylor
Computer Science & Engineering Syllabi
Introductory course in programming and algorithms for students with an interest or degree option in Computational Science. Topics include the logic and design of procedural programs, floating point arithmetic, vectors, matrices, complex numbers, and elementary data structures. Applications to areas of science and mathematics. Students will learn the basics of C programming as well as the MATLAB computing environment. This distance learning section offered under "Selected Topics" in computer science. 4 quarter credit hours.
Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan
Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course is designed as a self-study in Python. You are expected to learn the language and solve a set of programming problems assigned to you from Dietel et al using Python 2.5 available from http://www.python.org. 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 409/609: Principles Of Artificial Intelligence, Shaojun Wang
Cs 409/609: Principles Of Artificial Intelligence, Shaojun Wang
Computer Science & Engineering Syllabi
This course is an introduction to artificial intelligence. We will cover the most fundamental yet important algorithms and methods in this field and illustrate application areas such as natural language processing, speech recognition, computer vision and robotics.
Cs 400/600: Computer Science, Eric Maston
Cs 400/600: Computer Science, Eric Maston
Computer Science & Engineering Syllabi
This is the initial course in the understanding of data structures. This course focuses on data structures with abstract data types, such as trees, stacks, queues and graphs. The course will use projects, developed on UNIX, to create a deeper understanding of data structure and their use.
Cs 405/605: Introduction To Database Management Systems, Soon M. Chung
Cs 405/605: Introduction To Database Management Systems, Soon M. Chung
Computer Science & Engineering Syllabi
Survey of logical and physical aspects of database management systems. Entity Relationship, relational, object-oriented models for databases are presented. Physical implementation methods are discussed.
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 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, 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 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 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 790: Information Theory, Machine Learning And Statistics, Shaojun Wang
Cs 790: Information Theory, Machine Learning And Statistics, Shaojun Wang
Computer Science & Engineering Syllabi
Information theory deals with encoding data in order to transmit it correctly and effectively. Statistics and machine learning deal with estimating models of data and predicting future observations. ls there any relationship between the two? It turns out, perhaps not surprisingly, that the most compact encoding of the data is by the probabilistic model that describes it best. In other words, there is a fundamental link between information and probability.
This course starts with the basic notions of information theory and explores its relationship to machine learning and statistics. The course will have a strong theoretical component, but will also …
Cs/Mth 316/516: Numerical Methods For Digital Computers - I, Ronald F. Taylor
Cs/Mth 316/516: Numerical Methods For Digital Computers - I, Ronald F. Taylor
Computer Science & Engineering Syllabi
Introduction to numerical methods used in the sciences. Methods of interpolation, data smoothing, functional approximation, numerical differentiation and integration. Solution techniques for linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications to engineering, science, and applied mathematics are an integral part of the course. Special topics presented as schedule permits. 4 credit hours.