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Articles 61 - 90 of 438
Full-Text Articles in Entire DC Network
Cs 208: Computer Programming For Business I, Dennis Kellermeier
Cs 208: Computer Programming For Business I, Dennis Kellermeier
Computer Science & Engineering Syllabi
No abstract provided.
Cs 214: Object-Based Programming, Eric Maston
Cs 214: Object-Based Programming, Eric Maston
Computer Science & Engineering Syllabi
This course is a basic introduction to object oriented programming utilizing the Visual Basic programming language.
Cs 209: Computer Programming For Business Ii, Dennis Kellermeier
Cs 209: Computer Programming For Business Ii, Dennis Kellermeier
Computer Science & Engineering Syllabi
No abstract provided.
Cs 241: Introduction To Computer Science Ii, Praveen Kakumanu
Cs 241: 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 240: Introduction To Computer Science I, L. Jane Lin
Cs 240: Introduction To Computer Science 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 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 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 and implement 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 340: Programming Language Workshop In C#, Krishnaprasad Thirunarayan
Cs 340: 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 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.
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. 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 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 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, 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 syntax of languages and recognizing patterns: the syntax of languages can be defined using 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 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 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 480/680: Comparative Programming Languages, Michael L. Raymer
Cs 480/680: Comparative Programming Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
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 790-02: Statistical Natural Language Processing: Models And Methods, Shaojun Wang
Cs 790-02: Statistical Natural Language Processing: Models And Methods, Shaojun Wang
Computer Science & Engineering Syllabi
This course is designed to introduce students to the current statistical techniques for the automatic analysis of natural (human) language data. It develops an in-depth understanding of both the algorithms available for the processing of linguistic information and the underlying computational properties of natural languages. Potential topics include language modeling, finite state models, stochastic grammars, latent semantic analysis, log-linear models in natural language processing. We will explore how these core techniques can be applied to user applications such as information extraction, question answering, automatic speech recognition, statistical machine translation.
Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer
Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer
Computer Science & Engineering Syllabi
Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theory, complexity theory, dynamic programming and optimization techniques are introduced in the context of application toward solving specific computational problems in molecular genetics. 4 credit hours.
Right Flier: Newsletter Of The Aaup-Wsu Volume 7, Number 1, October 2006, American Association Of University Professors-Wright State University
Right Flier: Newsletter Of The Aaup-Wsu Volume 7, Number 1, October 2006, American Association Of University Professors-Wright State University
The Right Flier Newsletter
An eight page newsletter created by the Wright State University chapter of the American Association of University Professors. The newsletter discusses topics related to the faculty.
Wissensmanagement Profitiert Von Semantiktechnologien, Pascal Hitzler, Rudi Studer
Wissensmanagement Profitiert Von Semantiktechnologien, Pascal Hitzler, Rudi Studer
Computer Science and Engineering Faculty Publications
In der Forschung um das Semantic Web werden Technologien entwickelt, die auf breites Interesse in vielen Anwendungsgebieten stoßen. So z.B. im Wissensmanagement und im Ubiquitous Computing.
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.
Cs 790: Special Topics On Image Processing: Algorithms, Languages, And Architectures, Nikolaos Bourbakis
Cs 790: Special Topics On Image Processing: Algorithms, Languages, And Architectures, Nikolaos Bourbakis
Computer Science & Engineering Syllabi
Introduction; Image Processing Operators and Morphology; Image Transformations; Image Processing Languages; Image Coding and Compression;
Image Encryption and Hiding; Digital TV and Video
Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan
Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course deals with the theory and practice of compiler design. Topics emphasized are scanning and parsing. If time permits, semantic analysis will also be covered.
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 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
word processing, spreadsheets, databases, and presentation software and web design using
Microsoft Word, Microsoft FrontPage, Microsoft Excel, Access, and PowerPoint.
Cs 205: Introduction To Computers And Office Productivity Software, John P. Herzog
Cs 205: Introduction To Computers And Office Productivity Software, John P. Herzog
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.
Ceg 260: Digital Computer Hardware Switching Circuits, Meilin Liu
Ceg 260: Digital Computer Hardware Switching Circuits, Meilin Liu
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 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 operation 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, CEG 260.
Ceg 255: Introduction To The Design Of Information Technology Systems, Eric Matson
Ceg 255: Introduction To The Design Of Information Technology Systems, Eric Matson
Computer Science & Engineering Syllabi
Information systems consist of modern elements such as database systems, networks, multi-platform distributed computing, web infrastructure and multimedia computing. In this course we will address these areas individually and also where they intersect to gain a basic understanding of how information technology can be used to solve real problems.
We will develop techniques to design, develop and implement distributed business software. Emphasis will be on the following areas:
- Graphical User Interfaces (GUI) using Java Swing classes
- Management of data in Relational Database Management Systems (RDBMS) with SQL
- Integration of distributed systems using object brokering systems such as CORBA