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Articles 11521 - 11550 of 12809
Full-Text Articles in Physical Sciences and Mathematics
Ceg 499/699: Mobile Computing, Yong Pei
Ceg 499/699: Mobile Computing, Yong Pei
Computer Science & Engineering Syllabi
This senior/graduate course provides an in-depth study of networking protocol and system design in the area of wireless networking and mobile computing. It will help CEG students establish a solid foundation in wireless networking architecture, protocols, fundamental concepts and principles, network congestion control and flow control design. It will also introduce students to a few hot topics in wireless networking and mobile computing research.
The course will start with a review over fundamental design challenges, architectural principles and philosophy for the Internet and heterogeneous networks. The focus will then move on to an in-depth examination of wireless networking protocols, and …
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 operatio 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. Three hours lecture, two hours lab. Prerequisite: CS 242, CEO 260.
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 group project.
Ceg 210: Pc Networking I, Chris P. Fickert
Ceg 210: Pc Networking I, Chris P. Fickert
Computer Science & Engineering Syllabi
The objective of the course is to provide an introduction to PC networking hardware, concepts, and technologies with a focus on hardware configuration and LAN administration using in-class, hands-on exercises with Novell NetWare.
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 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 220: Introduction To C Programming For Engineers I, Ronald F. Taylor
Ceg 220: Introduction To C Programming For Engineers I, Ronald F. Taylor
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. Some programming assignments may involve complex arithmetic and trigonometric and exponential functions. 4 credit hours. Prerequisite: MTH 229 (Calculus I) or EGR 101 (Engineering Mathematics).
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 260: Digital Computer Hardware Switching Circuits, Eric Matson
Ceg 260: Digital Computer Hardware Switching Circuits, Eric Matson
Computer Science & Engineering Syllabi
We will discuss and cover basic digital, combinational and sequential logic systems. Labs will be used to gain valuable practical experience in implementing elementary circuits and logic designs.
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 333: Introduction To Unix, Travis E. Doom
Ceg 333: Introduction To Unix, Travis E. Doom
Computer Science & Engineering Syllabi
Introduction to the use of UNIX and UNIX tools as a problem-solving environment. Emphasis on the shell, files and directories, editing files, user process management, compiling, and debugging. Prerequisite: CS 241.
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, Jack Jean
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Cs 141: Computer Programming I, Eric Maston
Cs 141: Computer Programming I, Eric Maston
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 141: Computer Programming I, Ronald F. Taylor
Cs 141: Computer Programming I, Ronald F. Taylor
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: Computer Literacy And Office Automation, Ann Tirpack
Cs 205: Computer Literacy And Office Automation, Ann Tirpack
Computer Science & Engineering Syllabi
To understand basic computer operations and the principal components of a computer and connected peripheral devices. To understand and examine current operating systems, software utilities, device drivers and application software. To define and understand current storage technology and learn about logical file storage and
management.
To become proficient in using:
-Windows
-Word Processing Applications
-Spreadsheet Applications
-Database Applications
-Presentation Graphics Applications
To understand the basics of e-mail. To introduce networking concepts including the Internet and its components and web browser basics. To learn ways to protect your data and avoid computer disasters.
Cs 206: Advanced Concepts/Techniques And Software Productivity Tools, John P. Herzog
Cs 206: 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 spreadsheets, databases, and presentation software using Microsoft Excel Access and PowerPoint.
Cs 205-07: Computer Literacy And Office Automation, John P. Herzog
Cs 205-07: Computer Literacy And Office Automation, John P. Herzog
Computer Science & Engineering Syllabi
Basic computer terminology, word processing, spreadsheets, databases, and graphics.
Cs 209: Computer Programming For Business Ii, Dennis Kellermeier
Cs 209: Computer Programming For Business Ii, Dennis Kellermeier
Computer Science & Engineering Syllabi
CS 209 is the second 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.
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 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 240: Introduction To Computer Science I, L. Jane Lin
Cs 240: Introduction To Computer Science I, L. Jane Lin
Computer Science & Engineering Syllabi
This course is the first in the three course sequence "Introduction to Computer Science" offered by the
Computer Science department at WSU. This course presents a general introduction to C++ programming
language. It introduces the fundamental capabilities of C++ language as a problem solving tool. Topics include data representation, debugging and program verification.
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 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.
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 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 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. The Church-Turing thesis asserts that any problem that can be solved in any algorithmic manner can be solved by a Turing machine.
Cs 409/609: Principles Of Artificial Intelligence, John C. Gallagher
Cs 409/609: Principles Of Artificial Intelligence, John C. Gallagher
Computer Science & Engineering Syllabi
Problem solving methods in artificial intelligence (AI) with emphasis on heuristic approaches. Topics include methods of representation, search, intelligent agents, planning, learning, natural language processing, logic, inference, robotics, and case-based reasoning. Three hours lecture, two hours lab.
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. The goal of this course is to blend social implications issues with common technical communication formats you'll need to be familiar with out in the "real world." To do this, the course is built around a research project on a social implications topic …
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 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 the syntax of languages and recognizing patterns. The syntax of languages can be defined using grammars and patterns can be described by regular expressions and accepted by finite state machines. Along with presenting the fundamentals of these topics, the course will develop and investigate the relationships between language definition and pattern recognition.
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.