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Articles 9721 - 9750 of 13043
Full-Text Articles in Computer Sciences
Studying Network Optimization In The Context Of Self-Stabilization, Abusayeed Saifullah
Studying Network Optimization In The Context Of Self-Stabilization, Abusayeed Saifullah
All Computer Science and Engineering Research
Self-stabilization is a theoretical framework of non-masking fault-tolerance for distributed networks. A self-stabilizing system is capable of tolerating any unexpected transient fault without outside intervention and, regardless of the initial state, it can converge to a legitimate global state, a predefined vector of local states, in finite time. Self-stabilization has rendered a good problem solving paradigm of networks over the last decade. In this paper, we survey the self-stabilizing solutions for various network optimization problems such as network flow, load balancing, load and resource distribution, routing, file distribution, shortest paths etc. The paper also summarizes some recent works presenting how …
Cs 209-01: Computer Programming For Business Ii, David M. Hutchison
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
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
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
Ceg 411/611: Microprocessor-Based System Design, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 498: Design Experience, Thomas C. Hartrum
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.
Measurement And Modeling Of Passive Surface Mount Devices On Fr4 Substrates, Rahulkumar Sadanand Koche
Measurement And Modeling Of Passive Surface Mount Devices On Fr4 Substrates, Rahulkumar Sadanand Koche
Dissertations and Theses
Passive components like resistors, capacitors and inductors are used in every electronic system. These are the very basic components which affect the system performance at higher frequencies and it is necessary to understand and model the behavior of these components in a very accurate manner. This work focuses on utilizing Printed Circuit Board (PCB) test boards, or fixtures, made of FR4 for characterizing Surface Mount Device (SMD) components. Agilent's Advanced Design System (ADS) microwave circuit simulation software was used for designing the microstrip transmission lines as well as for generating the layout for manufacturing of the PCB. SMD resistors, capacitors …
Ceg 210: Pc Networking I, Jerry Hensley
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
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
Cs 240-01: Computer Programming I, Vaibhav Tendulkar
Computer Science & Engineering Syllabi
No abstract provided.
Cs 242-01: Computer Programming Iii, Mateen M. Rizki
Cs 242-01: Computer Programming Iii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 240-01: Computer Programming I, Vanessa Starkey
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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).