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Full-Text Articles in Engineering
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.
Cs 214-01: Visual Basic Programming, Michael Ondrasek
Cs 214-01: 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 241-01: Computer Science Ii, Eric Maston
Cs 241-01: Computer Science Ii, Eric Maston
Computer Science & Engineering Syllabi
This course is the second in the Introduction to Computer Science (24X) series. It focuses on object oriented concepts and an introduction to data structures.
Cs 242-01: Computer Science Iii, Eric Maston
Cs 242-01: 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 240-01: Introduction To Computer Science I, Dale E. Nelson
Cs 240-01: Introduction To Computer Science I, Dale E. Nelson
Computer Science & Engineering Syllabi
No abstract provided.
Cs 241-02, 03: Introduction To Computer Science Ii, Haiyun Bian
Cs 241-02, 03: 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, graphics, development of user interfaces and exception handling. Student must register for one lecture section and one lab section.
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 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 415-01: Social Implications Of Computing, Leo Finkelstein
Cs 415-01: 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 701-01: Database Systems And Design, Soon M. Chung
Cs 701-01: Database Systems And Design, Soon M. Chung
Computer Science & Engineering Syllabi
Introduction of DB design concepts and operating principles of database systems.
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 790-02: Advanced Data Mining, Guozhu Dong
Cs 790-02: 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 as well as some important recent papers, on different types of applications, in this fast evolving field. Topics include: sequence mining, text mining, graph mining, data warehouse/cube mining, micro-array gene expression mining, privacy w.r.t. data mining, sensor network mining, data stream mining, time series mining, web mining, etc. The aim is to prepare you for advanced data mining research and application development.
Cs 781-01: Compiler Design And Construction Ii, Krishnaprasad Thirunarayan
Cs 781-01: Compiler Design And Construction Ii, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course is a continuation ofCS780 covering the theory and practice of compiler design. Topics emphasized are semantic analysis, code generation, and optimization.
Cs 302-01: Client Server Databases, Karen Meyer
Cs 302-01: Client Server Databases, Karen Meyer
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 317-01: Numerical Methods Ii, Ronald F. Taylor
Cs 317-01: Numerical Methods Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
Continuation of CS/MTH/316/516. 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 sources of error in numerical methods. Special topics and applications presented as schedule permits. Four credit hours.
Cs 891-01: Information Retrieval, Extraction, And Management, Krishnaprasad Thirunarayan
Cs 891-01: Information Retrieval, Extraction, And Management, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course expects an advanced Ph.D. student to (i) review background material in the area of Information Retrieval, Extraction, and Management, and (ii) develop/deliver a presentation on a mutually acceptable topic.
Cs 409/609-01: Principles Of Artificial Intelligence, Shaojun Wang
Cs 409/609-01: Principles Of Artificial Intelligence, Shaojun Wang
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 languages can be defined using a rule-based systems called 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 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 database management 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 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
The objective of this course is to use the formal algorithmic system provided by Turing machines as a tool to analyze the complexity of decision and optimization problems and the algorithms that solve them. The topics to be covered include
•the definition of the time and space complexity of a deterministic algorithm
•the classes of deterministic polynomial and non-polynomial time languages
•the complexity of nondeterministic algorithms
•the P=NP question (relationship between solvability by deterministic and
nondeterministic polynomial time algorithms)
•the implications oaf solution to the P=NP question
•NP completeness and examples of NP complete problems
•classes of NP complete problems …
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 cod~.
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
This course will cover some of the challenges and issues associated with managing software projects. Emphasis will occur on two fronts: (1) the software project manager's view (that is, what considerations and obstacles confront project managers during software development), and (2) the organizational view (that is, how organizations can foster a climate where software project management is performed smartly throughout an organization).
Ceg 435/635-01: Distributed Computing And Systems, Yong Pei
Ceg 435/635-01: Distributed Computing And Systems, Yong Pei
Computer Science & Engineering Syllabi
Study of process coordination, client-server computing, network and distributed operating systems, network and distributed file systems, concurrency control, recovery of distributed transactions, and fault-tolerant computing.
Ceg 725-01: Computer Vision Ii, Bin Wang
Ceg 725-01: Computer Vision Ii, Bin Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 499/699-01: Wireless Sensor Networks, Bin Wang
Ceg 499/699-01: Wireless Sensor Networks, Bin Wang
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 726-01: Pattern Recognition, Arthur A. Goshtasby
Ceg 726-01: Pattern Recognition, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 498-01: Team Projects I And Ii, John C. Gallagher
Ceg 498-01: Team Projects I And Ii, John C. Gallagher
Computer Science & Engineering Syllabi
CEG 498 (Team Projects I and II) 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 820-01: Computer Architecture Ii, Soon M. Chung
Ceg 820-01: Computer Architecture Ii, Soon M. Chung
Computer Science & Engineering Syllabi
Continuation of CEG720 with more details on multiprocessor systems, parallel processing, and performance analysis.