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Full-Text Articles in Physical Sciences and Mathematics
Cs 214-01: Visual Basic.Net, Roddy Keish
Cs 214-01: Visual Basic.Net, Roddy Keish
Computer Science & Engineering Syllabi
No abstract provided.
Cs 241-01: Introduction To Computer Science Ii, Praveen Kakumanu
Cs 241-01: 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 241-01: Computer Science Ii, Mateen M. Rizki
Cs 241-01: Computer Science Ii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 242-01: Introduction To Computer Science Iii, Eric Maston
Cs 242-01: Introduction To Computer Science Iii, Eric Maston
Computer Science & Engineering Syllabi
This is the third and final course in the Introduction to Computer Science series. This course focuses on data structures with abstract data types, such as trees, stacks, queues, and tables.
Cs 340-01: Programming Language Workshop In Java, Ronald F. Taylor
Cs 340-01: 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 302-01: Client Server Databases, Karen Meyer
Cs 302-01: Client Server Databases, Karen Meyer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 340-01: Programming Language Workshop In C#, Krishnaprasad Thirunarayan
Cs 340-01: 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 400/600-01: Data Structures And Software Design, Michael L. Raymer
Cs 400/600-01: Data Structures And Software Design, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 466/666-01: Introduction To Formal Languages, Thomas Sudkamp
Cs 466/666-01: 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 accepted by finite state machines. Along with presenting with 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 701-01: Database Systems And Design, Kenneth Melendez
Cs 701-01: Database Systems And Design, Kenneth Melendez
Computer Science & Engineering Syllabi
No abstract provided.
Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp
Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp
Computer Science & Engineering Syllabi
No abstract provided.
Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer
Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 790-01: Multimedia Coding And Communication (I), Yong Pei
Cs 790-01: Multimedia Coding And Communication (I), Yong Pei
Computer Science & Engineering Syllabi
No abstract provided.
Cs 765-01: Foundations Of Neurocomputation, Mateen M. Rizki
Cs 765-01: Foundations Of Neurocomputation, Mateen M. Rizki
Computer Science & Engineering Syllabi
This course is designed to help you develop a solid understanding of neural network algorithms and architectures. At the end of this course you should be able to read and critically evaluate most neural network papers published in major journals, (e.g. IEEE Transaction on Neural Networks, Neural Networks, and Neural Computation). In addition, you should be able to implement a broad range of network architectures and learning algorithms for a variety of applications.
Cs 884-01: Advanced Topics In Programming Languages, Krishnaprasad Thirunarayan
Cs 884-01: Advanced Topics In Programming Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
The primary focus of this course is the design and specification of the Object-Oriented language Java.
Cs 317-01: Numerical Methods For Digital Computers - Ii, Ronald F. Taylor
Cs 317-01: Numerical Methods For Digital Computers - Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
Introduction to numerical methods used in the sciences. Methods for solving matrix eigenvalue problems, initial value and boundary value problem for ordinary differential equations (ODEs). Study of standard types of partial differential equations (PDEs) with applications. Solution techniques for systems of nonlinear equations. Discussion of courses of errors in numerical methods. Special topics and applications presented as schedule permits. 4 credit hours. Prerequisites: CS 316, MTH 233, 253, or 355. Programming course prerequisites: EGR 153 or CEG 220 or CS 241.
Ceg 402/602-01: Introduction To Computer Communication, Bin Wang
Ceg 402/602-01: Introduction To Computer Communication, Bin Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 411/611: Microprocessor-Based System Design, Jack Jean
Ceg 411/611: Microprocessor-Based System Design, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 333: Introduction To Unix, Todd Rovito
Ceg 333: Introduction To Unix, Todd Rovito
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 434/634-01: Concurrent Software Design, Natsuhiko Futamura
Ceg 434/634-01: Concurrent Software Design, Natsuhiko Futamura
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 460/660-01: Introduction To Software Computer Engineering, Robert J. Weber
Ceg 460/660-01: Introduction To Software Computer Engineering, Robert J. Weber
Computer Science & Engineering Syllabi
This course is concerned with the techniques of designing and constructing large programs. Some of the required basic concepts necessarily have to be developed using small programs as examples. To this extent, we also study programming-in-the-small. The overall objectives are to present an overview of issues in the development of software, to discuss terminology, to illustrate via example case studies, and to give sufficiently detailed advice on how to develop quality software. Hands-on experience is emphasized through the use of homework and a class project.
Ceg 468/668: Managing The Software Development Process, John A. Reisner
Ceg 468/668: Managing The Software Development Process, John A. Reisner
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 498-01: Design Experience, Thomas C. Hartrum
Ceg 498-01: 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 c01mnunications 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 477/677-01: Computer Graphics Ii, Thomas Wischgoll
Ceg 477/677-01: Computer Graphics Ii, Thomas Wischgoll
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 725-01: Computer Vision Ii, Arthur A. Goshtasby
Ceg 725-01: Computer Vision Ii, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 730-01: Distributed Computing Principles, Prabhaker Mateti
Ceg 730-01: 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 260-01: Digital Computer Hardware/Switching Circuits, Eric Maston
Ceg 260-01: Digital Computer Hardware/Switching Circuits, Eric Maston
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 750-01: Microprocessor, Jack Jean
Ceg 750-01: Microprocessor, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 416-01: Matrix Computations, Bin Wang
Ceg 416-01: Matrix Computations, Bin Wang
Computer Science & Engineering Syllabi
This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modern software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to applications areas such as structural analysis, heat transfer, neural networks, mechanical vibrations, and image processing in biomedical engineering. A student should familiarize himself/herself with MATLAB. A basic knowledge of matrix algebra is required.
Ceg 490/690-01: Technology-Based Ventures, Forouzan Golshani, S. Narayanan
Ceg 490/690-01: Technology-Based Ventures, Forouzan Golshani, S. Narayanan
Computer Science & Engineering Syllabi
No abstract provided.