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Wright State University

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Articles 1111 - 1140 of 2694

Full-Text Articles in Computer Sciences

Cs 142: Computer Programming - Ii, Michael Ondrasek Apr 2010

Cs 142: Computer Programming - Ii, Michael Ondrasek

Computer Science & Engineering Syllabi

The concepts introduced in CS 141 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, graphics, development, of user interfaces and handling runtime errors with an emphasis on program verification and testing. Students must register for both lecture and one laboratory section. 4 credit hours. Prerequisite: CS 141 (Computer Programming I) and MTH 127 (College Algebra) or equivalent.


Cs 141: Computer Programming - I, Michael Ondrasek Apr 2010

Cs 141: Computer Programming - I, Michael Ondrasek

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 209: Computer Programming For Business Ii, Dennis Kellermeier Apr 2010

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 242: Computer Programming Iii, Thomas Wischgoll Apr 2010

Cs 242: Computer Programming Iii, Thomas Wischgoll

Computer Science & Engineering Syllabi

No abstract provided.


Cs 466/666: Introduction To Formal Languages, Guozhu Dong Apr 2010

Cs 466/666: Introduction To Formal Languages, Guozhu Dong

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 the fundamentals of these tow 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 Sciences, by Thomas Sudkamp.


Cs 242: Computer Programming Iii, Mateen M. Rizki Apr 2010

Cs 242: Computer Programming Iii, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.


Cs 784: Programming Languages, Prabhaker Mateti Apr 2010

Cs 784: Programming Languages, Prabhaker Mateti

Computer Science & Engineering Syllabi

Programming paradigms and concepts for high level programming languages. Techniques for formal specification. 4.000 Credit hours. Prerequisites: CS 480/680.


Cs 801: Advanced Database Systems, Soon M. Chung Apr 2010

Cs 801: Advanced Database Systems, Soon M. Chung

Computer Science & Engineering Syllabi

Introduction of current trends and research issues in database systems.


Cs 241-01: Computer Programming Ii, Travis E. Doom Apr 2010

Cs 241-01: Computer Programming Ii, Travis E. Doom

Computer Science & Engineering Syllabi

A continuation of CS240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.


Cs 271/Bio 371: Introduction To Bioinformatics, Michael L. Raymer, Dan E. Krane Apr 2010

Cs 271/Bio 371: Introduction To Bioinformatics, Michael L. Raymer, Dan E. Krane

Computer Science & Engineering Syllabi

The course web page will be the primary method for distributing important announcements, course material, class notes, etc. Please check the page often. Login to the campus WebCT system using your cats username and password. The URL is: http://wisdom.wright.edu


Cs 774: Logic Programming, Krishnaprasad Thirunarayan Apr 2010

Cs 774: Logic Programming, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course deals with logic programming paradigm and Prolog. We discuss the syntax and the semantics of Prolog, the working of a Prolog interpreter and various applications of Prolog. In particular, we consider the use of Prolog of database querying, parsing, meta-programming, and problem solving in AI. The programming assignments can be coded in SWI_Prolog or XSB.


Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan Apr 2010

Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course is designed as a self-study in Python. You are expected to learn the language and solve a set of programming problems assigned to you from Budd's text using Python available from http://www.python.org. 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 208-01: Computer Programming For Business I, David M. Hutchison Apr 2010

Cs 208-01: Computer Programming For Business I, David M. Hutchison

Computer Science & Engineering Syllabi

CS 208 is the first in a sequence of two programming classes required for MIS majors. This course will introduce students to the basic concepts of programming. Examples are from business applications and display graphics and emphasis is on problem solving with the computer as a tool.


Cs 415: Social Implications Of Computing, Leo Finkelstein Apr 2010

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 material in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.


Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Ronald F. Taylor Apr 2010

Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Ronald F. Taylor

Computer Science & Engineering Syllabi

Introduction to numerical methods used in the sciences and engineering. Included will be methods for interpolation, data smoothing, integration, differentiation, and solution of systems of linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications to science, engineering and applied mathematics are an integral part of the course. Special topics presented as schedule permits. Four hours lecture.


Cs 205-04, 05, 06: Introduction To Computers And Office Productivity Software, Terri Bauer Apr 2010

Cs 205-04, 05, 06: Introduction To Computers And Office Productivity Software, Terri Bauer

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including intermediate word processing, 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.


Cs 214: Visual Basic Programming, Michael Ondrasek Apr 2010

Cs 214: 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 languages. 4 credit hours.


Cs 712: Advanced Topics In Artificial Intelligence: Inference Graphical Models, Shaojun Wang Apr 2010

Cs 712: Advanced Topics In Artificial Intelligence: Inference Graphical Models, Shaojun Wang

Computer Science & Engineering Syllabi

This course will cover the fundamentals of graphical probability models, focusing on the key representations, algorithms and theories that have facilitated much recent progress in artificial intelligence research.


Ceg 726-01: Pattern Recognition, Arthur A. Goshtasby Apr 2010

Ceg 726-01: Pattern Recognition, Arthur A. Goshtasby

Computer Science & Engineering Syllabi

This course will discuss fundamentals of Pattern Recognition, including supervised learning and clustering.


Ceg 403/603-01: Personal Area Networks, Yong Pei Apr 2010

Ceg 403/603-01: Personal Area Networks, Yong Pei

Computer Science & Engineering Syllabi

No abstract provided.


Ceg 220-01: Introduction To C Programming For Engineers, Jay Dejongh Apr 2010

Ceg 220-01: Introduction To C Programming For Engineers, Jay Dejongh

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). The course includes a scheduled laboratory section for which you must register.


Ceg 320/520-01: Computer Organization, Michael L. Raymer Apr 2010

Ceg 320/520-01: Computer Organization, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.


Ceg 402/602-01: Introduction To Computer Communication, Bin Wang Apr 2010

Ceg 402/602-01: Introduction To Computer Communication, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.


Ceg 433-01: Operating Systems, Sarah Gothard Apr 2010

Ceg 433-01: Operating Systems, Sarah Gothard

Computer Science & Engineering Syllabi

Overview of operating systems internals. File-system usage and design, process usage and control, virtual memory, multi user systems, access control. Course projects use C++ language.


Ceg 461/661-01: Object-Oriented Programming And Design, Thomas C. Hartrum Apr 2010

Ceg 461/661-01: Object-Oriented Programming And Design, Thomas C. Hartrum

Computer Science & Engineering Syllabi

Study of object-oriented design and programming. Programming topics emphasize the core concepts of encapsulation, inheritance, polymorphism, and dynamic binding. Additional topics include class organization, software maintenance, and design of reusable components. There is a project to be implemented in a modem object-oriented language such as Java or C++.


Ceg 260-01: Digital Computing Hardware/Switching Circuits, Meilin Liu Apr 2010

Ceg 260-01: Digital Computing 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 730-01: Distributed Computing Principles, Soon M. Chung Apr 2010

Ceg 730-01: Distributed Computing Principles, Soon M. Chung

Computer Science & Engineering Syllabi

No abstract provided.


Ceg 702-01: Advanced Communication Networks, Bin Wang Apr 2010

Ceg 702-01: Advanced Communication Networks, Bin Wang

Computer Science & Engineering Syllabi

Section 01 of CEG 702: Advanced Communication Networks.


Ceg 211-01: Pc Networking Ii, Karen Meyer Apr 2010

Ceg 211-01: Pc Networking Ii, Karen Meyer

Computer Science & Engineering Syllabi

Focuses on server installation, administration, multiple protocol integration, systems maintenance, and trouble-shooting. Includes hands-on class and laboratory assignments.


Ceg 434/634-01: Concurrent Software Design, Douglas J. Kelly Apr 2010

Ceg 434/634-01: Concurrent Software Design, Douglas J. Kelly

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.