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Computer Engineering Commons

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Wright State University

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Articles 451 - 480 of 1814

Full-Text Articles in Computer Engineering

Cs 206-01: Computer Software Productivity Tools, John P. Herzog Apr 2012

Cs 206-01: Computer Software Productivity Tools, John P. Herzog

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including advanced topics in 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 advanced 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 466/666: Introduction To Formal Languages, Guozhu Dong Apr 2012

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 in strings/sentences: the syntax of languages can be defined using grammars and the patterns can be accepted by finite state machines. Along with presenting the fundamentals of these two topics, the course will develop and investigate the relationships between language definition mechanisms and pattern recognition devices. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science, by Thomas Sudkamp.


Cs 209-01: Computer Programming For Business Ii, David M. Hutchison Jan 2012

Cs 209-01: Computer Programming For Business Ii, David M. Hutchison

Computer Science & Engineering Syllabi

CS 209 is the second in a sequence of two programming classes required for MIS majors. This course will continue teaching students to the basic concepts of programming. Examples are from business applications and emphasis is on problem solving with the computer as a tool.


Cs 400/600-01: Date Structures And Algorithms, Keke Chen Jan 2012

Cs 400/600-01: Date Structures And Algorithms, Keke Chen

Computer Science & Engineering Syllabi

This course will cover the fundamentals of algorithm design and analysis, the implementation of classical data structures and control structures, and the basic problem solving techniques.


Cs 707-01: Information Retrieval, Krishnaprasad Thirunarayan Jan 2012

Cs 707-01: Information Retrieval, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will cover models for information retrieval techniques for indexing and searching, and algorithms for classification and clustering. It will also cover SVM, latent semantic indexing, link analysis and ranking, Map-Reduce architecture and Hadoop, to different degrees of detail, time penning.


Ceg 411/611: Microprocessor-Based System Design, Jack Jean Jan 2012

Ceg 411/611: Microprocessor-Based System Design, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.


Ceg 498: Design Experience, Thomas C. Hartrum Jan 2012

Ceg 498: Design Experience, Thomas C. Hartrum

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.


Ceg 210: Pc Networking I, Jerry Hensley Jan 2012

Ceg 210: Pc Networking I, Jerry Hensley

Computer Science & Engineering Syllabi

Introduction to networking technologies including infrastructure and architectures, standards, protocols and directory services, administration, security and management. Integrated lecture and lab.


Ceg 220: Introduction To C Programming For Engineers, Jay Dejongh Jan 2012

Ceg 220: 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.


Cs 240-01: Computer Programming I, Vaibhav Tendulkar Jan 2012

Cs 240-01: Computer Programming I, Vaibhav Tendulkar

Computer Science & Engineering Syllabi

No abstract provided.


Cs 242-01: Computer Programming Iii, Mateen M. Rizki Jan 2012

Cs 242-01: Computer Programming Iii, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.


Cs 240-01: Computer Programming I, Vanessa Starkey Jan 2012

Cs 240-01: Computer Programming I, Vanessa Starkey

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on problem solving and object oriented programming. This course provides a general introduction to the fundamentals of computer science and 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.


Cs 399-01: Introduction To Scientific Visualization, Thomas Wischgoll Jan 2012

Cs 399-01: Introduction To Scientific Visualization, Thomas Wischgoll

Computer Science & Engineering Syllabi

By the end of this quarter, you will be familiar with techniques used for visualizing various types of data sets, such as medical, vector or general data sets. This includes appropriate visualization methods for geometric, volumetric, and higher dimensional data sets (e.g. vector or tensor data). In addition, you will learn about user modalities, including different input devices and display types for more advanced visualizations.


Cs 141-01: Computer Programming I, Vanessa Starkey Jan 2012

Cs 141-01: Computer Programming I, Vanessa Starkey

Computer Science & Engineering Syllabi

Introduction to use of computers as a problem-solving tool. Examples from and applications to a broad range of problems. Methodology for algorithm design and for structured modular implementation is stressed. Three hours lecture, two hours lab.


Cs 205-07: Introduction To Computers And Office Productivity Software, John P. Herzog Jan 2012

Cs 205-07: Introduction To Computers And Office Productivity Software, John P. Herzog

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 205-01: Introduction To Computers And Office Productivity Software 2010, Amanda Hood Jan 2012

Cs 205-01: Introduction To Computers And Office Productivity Software 2010, Amanda Hood

Computer Science & Engineering Syllabi

Focus on learning MS Office 2010 software applications including word processing (intermediate), spreadsheets, databases, 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 240-01: Computer Programming - I, Michael Ondrasek Jan 2012

Cs 240-01: Computer Programming - I, Michael Ondrasek

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on problem solving and object oriented programming. This course provides a general introduction to the fundamentals of computer science and 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.


Cs 241-04: Computer Programming - Ii, Jay Dejongh Jan 2012

Cs 241-04: Computer Programming - Ii, Jay Dejongh

Computer Science & Engineering Syllabi

The CS 241 course is a continuation of CS 240. The emphasis in CS 241 is on solving more complex problems using object oriented programming. Prerequisite: CS240. Students must register for both lecture and one laboratory section. 4 credit hours.


Cs 400/600-01: Data Structures And Software Design, Meilin Liu Jan 2012

Cs 400/600-01: Data Structures And Software Design, Meilin Liu

Computer Science & Engineering Syllabi

This is a fundamental course for students majoring in Computer Science. Students will learn: basic algorithm analysis techniques; asymptotic complexity; big-0 and big-Omega notations; efficient algorithms for discrete structures including lists, trees, stacks, and graphs; fundamental computing algorithms including sorting, searching, and hashing techniques.


Cs 399-01: Ios Programming I, Erik Marlow Buck Jan 2012

Cs 399-01: Ios Programming I, Erik Marlow Buck

Computer Science & Engineering Syllabi

The iOS programming I class focuses on projects to progressively demonstrate concepts and practical approaches for embedded application development. Projects use Mac OS X computers and iOS simulators. University owned iPads are available for project demonstrations. Students are encouraged to join Apple's iOS developer program, deploy project applications to their personal devices, and sell applications through Apple's App Store.


Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer Jan 2012

Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.


Cs 205-01: Introduction To Computers And Office Productivity Software, Terri Bauer Jan 2012

Cs 205-01: 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 415-01: Social Implications Of Computing, Leo Finkelstein Jan 2012

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 yon will be responsible for using concepts and theories provided in class lectures and discussions.


Cs 701-01: Database Systems And Design, Soon M. Chung Jan 2012

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 208-01: Computer Programming For Business I, Dennis Kellermeier Jan 2012

Cs 208-01: Computer Programming For Business I, Dennis Kellermeier

Computer Science & Engineering Syllabi

CS 208 is the first 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. This course assumes students have never written a program before.


Cs 241-01: Computer Programming - Ii, Michael Ondrasek Jan 2012

Cs 241-01: Computer Programming - Ii, Michael Ondrasek

Computer Science & Engineering Syllabi

The CS 241 course is a continuation of CS 240. The emphasis in CS 241 is on solving more complex problems using object oriented programming. Prerequisite: CS240. Students must register for both lecture and one laboratory section. 4 credit hours.


Cs 790-02: Advanced Data Mining, Guozhu Dong Jan 2012

Cs 790-02: Advanced Data Mining, Guozhu Dong

Computer Science & Engineering Syllabi

This advanced data mining course covers concepts and techniques in data mining.


Cs 340-01: Programming Language Workshop In C#, Krishnaprasad Thirunarayan Jan 2012

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 405/605-01: Introduction To Database Management Systems, Guozhu Dong Jan 2012

Cs 405/605-01: Introduction To Database Management Systems, Guozhu Dong

Computer Science & Engineering Syllabi

Logical and physical aspects of database management systems are surveyed. Data models including entity-relationship (ER) and relational models are presented. Physical implementation (data organization and indexing) methods are discussed. Query languages including SQL, relational algebra, relational calculus, and QBE are studied. Students will gain experience in creating and manipulating a database, and gain knowledge on professional and ethical responsibility and on the importance of privacy/security of data.


Cs 790-01: Privacy-Aware Computing, Keke Chen Jan 2012

Cs 790-01: Privacy-Aware Computing, Keke Chen

Computer Science & Engineering Syllabi

In this course, we will discuss a set of research papers on various topics of privacy-aware computing: data perturbation, data anonymization, randomized responses, privacy preserving data mining, privacy preserving multivariate statistical analysis, private information retrieval, and secure data outsourcing, etc. Students are expected to read some papers and submit paper summaries. Participation in the class discussion is encouraged. Students will need to finish a course project and give a project presentation. Each project team can have 1~2 people. (4 Hours Lecture).