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Articles 3691 - 3720 of 5573
Full-Text Articles in Physical Sciences and Mathematics
Cs 241-02: Computer Science Ii, L. Jane Lin
Cs 241-02: Computer Science Ii, L. Jane Lin
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. For all CS 241 students, concurrent registration into CS 241 lab is a must.
Cs 241-03: Introduction To Computer Science Ii, Praveen Kakumanu
Cs 241-03: 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. Note: For all CS 241 students, concurrent registration into CS 241 lab is a must.
Cs 242-02: Introduction To Computer Science Iii, Eric Maston
Cs 242-02: 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 405/605-01: Introduction To Database Management Systems, Guozhu Dong
Cs 405/605-01: Introduction To Database Management Systems, Guozhu Dong
Computer Science & Engineering Syllabi
Survey of logical and physical aspects of data base managements systems. Data models including entity-relationship (ER) and relational are presented. Physical implementation (data organization and indexing) methods are discussed. Query languages including SQL, relational algebra, relational calculus, and QBE are introduced. Students will also gain experience in creating and manipulating a database. The course is mostly concerned with the design and querying of databases. A follow up course, CS701 is concerned with the design of system functions for managing databases.
Cs 400/600: Data Structures And Software Design, Michael L. Raymer
Cs 400/600: Data Structures And Software Design, Michael L. Raymer
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 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: Comparative Languages, Krishnaprasad Thirunarayan
Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will introduce fundamental concepts and paradigms underlying the design of modern programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java), and a functional language (e.g. Scheme). The overall goal is to enable comparison and evaluation of existing languages. The programming assignments will be coded in Java 5.0 and in Scheme.
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 790-03: Advanced Data Mining, Guozhu Dong
Cs 790-03: Advanced Data Mining, Guozhu Dong
Computer Science & Engineering Syllabi
In this course we will cover advanced topics in data mining. We will study some classic papers and some important recent paper, on different types of applications, in this fast evolving field.
Cs 790-02: Multimedia Coding And Communication (I), Yong Pei
Cs 790-02: Multimedia Coding And Communication (I), Yong Pei
Computer Science & Engineering Syllabi
No abstract provided.
Cs 209-01: Computer Programming For Business Ii, Dennis Kellermeier
Cs 209-01: 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.
Ceg 220-01: Introduction To C Programming For Engineers, Robert Helt
Ceg 220-01: Introduction To C Programming For Engineers, 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).
Ceg 210-01: Pc Networking I, Karen Meyer
Ceg 210-01: Pc Networking I, Karen Meyer
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 221-01: Advanced C Programming For Engineers, Robert Helt
Ceg 221-01: 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, hashtables, and binary trees. 4 credit hours.
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 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 number and logic systems. Labs will be used to gain valuable "hand's on" experience in implementing elementary circuits and logic designs.
Ceg 333: Introduction To Unix, Maite Trujillo
Ceg 333: Introduction To Unix, Maite Trujillo
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.
Ceg 411/611-01: Introduction To Software Computer Engineering, Jack Jean
Ceg 411/611-01: Introduction To Software Computer Engineering, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 433/633-01: Operating Systems, Prabhaker Mateti
Ceg 433/633-01: Operating Systems, Prabhaker Mateti
Computer Science & Engineering Syllabi
The management of resources in multi-user systems. Emphasis is on problems of file-system design, process scheduling, memory allocation, protection, and tools needed for solutions. Course projects use the C/C++ language and include the design of portions of an operating system. 4 credit hours.
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 498-01: Design Experience, John C. Gallagher
Ceg 498-01: Design Experience, John C. Gallagher
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 434/634-01: Concurrent Software Design, Thomas C. Hartrum
Ceg 434/634-01: Concurrent Software Design, Thomas C. Hartrum
Computer Science & Engineering Syllabi
This course provides an introduction to concurrent program design in the UNIX environment. Classical problems of synchronization, concurrency, and their solutions are examined through course projects and through readings on operating system design.
Ceg 498-02: Design Experience, Thomas C. Hartrum
Ceg 498-02: 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 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 750-01: Microprocessor, Jack Jean
Ceg 750-01: Microprocessor, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 777-01: Computer Aided Geometric Design, Arthur A. Goshtasby
Ceg 777-01: Computer Aided Geometric Design, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
To cover the fundamental of geometric modeling, including design of curves and surfaces, composite curves and surfaces, and subdivision techniques for creation of free-form shapes.
Ceg 790-01: Emerging Networks, Bin Wang
Ceg 790-01: Emerging Networks, Bin Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 820-01: Computer Architecture Ii, Soon M. Chung
Ceg 820-01: Computer Architecture Ii, Soon M. Chung
Computer Science & Engineering Syllabi
Continuation of CEG 720 with more details on multiprocessor systems, parallel processing, and performance analysis.
Ceg 220-01: Introduction To C Programming For Engineers, Robert Helt
Ceg 220-01: Introduction To C Programming For Engineers, 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).