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Articles 1711 - 1740 of 3840
Full-Text Articles in Physical Sciences and Mathematics
Cs 240: Computer Programming I, Vanessa Starkey
Cs 240: Computer Programming I, Vanessa Starkey
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement.
Cs 241-02: Computer Programming - Ii, Michael Ondrasek
Cs 241-02: 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 241-01: Computer Programming Ii, Travis E. Doom
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 400/600-01: Data Structures And Software Design, Guozhu Dong
Cs 400/600-01: Data Structures And Software Design, Guozhu Dong
Computer Science & Engineering Syllabi
No abstract provided.
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 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 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 714-01: Machine Learning, Shaojun Wang
Cs 714-01: Machine Learning, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Michael L. Raymer
Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 790-01: Knowledge Representation For The Semantic Web, Pascal Hitzler
Cs 790-01: Knowledge Representation For The Semantic Web, Pascal Hitzler
Computer Science & Engineering Syllabi
Semantic Web is a maturing field of technology that continues to be the emphasis of much focused research and industrial investigation. The central idea behind Semantic Web is to enhance data on the World Wide Web by so-called metadata, which describes the meaning (semantics) of the data and thus makes it available for processing in intelligent systems. In this course we cover in depth the standardized knowledge representation languages for expressing metadata, called ontology languages. We will in particular cover the Resource Description Framework RDF and the Web Ontology Language OWL, both of which are recommended standards by the World …
Cs 771-01: Natural Language Processing Techniques, Shaojun Wang
Cs 771-01: Natural Language Processing Techniques, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 320/520: Computer Organization, Nikolaos Bourbakis
Ceg 320/520: Computer Organization, Nikolaos Bourbakis
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 404/604-01: Wireless Sensor Networks, Bin Wang
Ceg 404/604-01: Wireless Sensor Networks, Bin Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 402/602-01: Introduction To Computer Communication, Bin Wang
Ceg 402/602-01: Introduction To Computer Communication, Bin Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 360/560-01: Digital System Design, Travis E. Doom
Ceg 360/560-01: Digital System Design, Travis E. Doom
Computer Science & Engineering Syllabi
Design of digital systems. Topics include flip-flops, registers, counters, programmable logic devices, memory devices, register-level design, and microcomputer system organization. Students must show competency in the design of digital systems. 3 hours lecture, 2 hours lab. Prerequisite: CEG 260.
Ceg 436/636-01: Mobile Computing, Yong Pei
Ceg 436/636-01: Mobile Computing, Yong Pei
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 433/633-01: Operating Systems, Thomas Wischgoll
Ceg 433/633-01: Operating Systems, Thomas Wischgoll
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 435/635-01: Distributed Computing And Systems, Keke Chen
Ceg 435/635-01: Distributed Computing And Systems, Keke Chen
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.
Ceg477/677: Computer Graphics Ii, Thomas Wischgoll
Ceg477/677: Computer Graphics Ii, Thomas Wischgoll
Computer Science & Engineering Syllabi
By the end of this quarter, you will be familiar with techniques for generation 3-D scenes and interacting with the generated scenes. You will be introduced to surface rendering techniques, visibility algorithms, illumination models, and geometric modelling.
Ceg 498: Design Experience, Thomas C. Hartrum
Ceg 498: Design Experience, Thomas C. Hartrum
Computer Science & Engineering Syllabi
CEG 498 (Design Experience) 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 journal and on the quality of their collective efforts as reflected in group generated products.
Ceg 720: Computer Architecture I, Soon M. Chung
Ceg 720: Computer Architecture I, Soon M. Chung
Computer Science & Engineering Syllabi
Review of sequential computer architecture and study of parallel computers. Topics include memory hierarchy, reduced instruction set computer, pipeline processing, multiprocessing, various parallel computers, interconnection networks, and fault-tolerant computing.
Ceg 725: Computer Vision Ii, Arthur A. Goshtasby
Ceg 725: Computer Vision Ii, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
In this course we will learn computer algorithms that interpret images. Some of the algorithms will be practiced through computer implementation.
Ceg 830: Distributed Computing Systems, Prabhaker Mateti
Ceg 830: Distributed Computing Systems, Prabhaker Mateti
Computer Science & Engineering Syllabi
Example languages and packages: SR and PYM, file servers, semantics of file sharing, caches and replication, log-structured file systems, remote evaluation, process migration, mobile projects, check pointing and rollback-recovery.
Ceg 860: Object-Oriented Programming, Krishnaprasad Thirunarayan
Ceg 860: Object-Oriented Programming, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course motivates the need for object-oriented programming, and studies, in detail, object-oriented programming techniques, languages, and technology. The lectures will focus on the foundations of OOP, while the student presentations will focus on the applications and extensions of Object Technology.
Ceg 320/520: Computer Organization, Nikolaos Bourbakis
Ceg 320/520: Computer Organization, Nikolaos Bourbakis
Computer Science & Engineering Syllabi
No abstract provided.
A New Perspective On Visual Word Processing Efficiency, Joseph W. Houpt, James T. Townsend
A New Perspective On Visual Word Processing Efficiency, Joseph W. Houpt, James T. Townsend
Psychology Faculty Publications
As a fundamental part of our daily lives, visual word processing has received much attention in the psychological literature. Despite the well established perceptual advantages of word and pseudoword context using accuracy, a comparable effect using response times has been elusive. Some researchers continue to question whether the advantage due to word context is perceptual. We use the capacity coefficient, a well established, response time based measure of efficiency to provide evidence of word processing as a particularly efficient perceptual process to complement those results from the accuracy domain.
Twitris 2.0 : Semantically Empowered System For Understanding Perceptions From Social Data, Ashutosh Sopan Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Anantharam, Ajith H. Ranabahu, Vinh Nguyen, Pablo N. Mendes, Alan Gary Smith, Michael Cooney, Amit P. Sheth
Twitris 2.0 : Semantically Empowered System For Understanding Perceptions From Social Data, Ashutosh Sopan Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Anantharam, Ajith H. Ranabahu, Vinh Nguyen, Pablo N. Mendes, Alan Gary Smith, Michael Cooney, Amit P. Sheth
Kno.e.sis Publications
We present Twitris 2.0, a Semantic Web application that facilitates understanding of social perceptions by Semantics-based processing of massive amounts of event-centric data. Twitris 2.0 addresses challenges in large scale processing of social data, preserving spatio-temporal-thematic properties. Twitris 2.0 also covers context based semantic integration of multiple Web resources and expose semantically enriched social data to the public domain. Semantic Web technologies enable the systematic integration and analysis abilities.
Computing For The Human Experience: Semantics-Empowered Sensors, Services, And Social Computing On The Ubiquitous Web, Amit P. Sheth
Computing For The Human Experience: Semantics-Empowered Sensors, Services, And Social Computing On The Ubiquitous Web, Amit P. Sheth
Kno.e.sis Publications
People are on the verge of an era in which the human experience can be enriched in ways they couldn't have imagined two decades ago. Rather than depending on a single technology, people progressed with several whose semantics-empowered convergence and integration will enable us to capture, understand, and reapply human knowledge and intellect. Such capabilities will consequently elevate our technological ability to deal with the abstractions, concepts, and actions that characterize human experiences. This will herald computing for human experience (CHE). The CHE vision is built on a suite of technologies that serves, assists, and cooperates with humans to nondestructively …
A Qualitative Examination Of Topical Tweet And Retweet Practices, Meenakshi Nagarajan, Hemant Purohit, Amit P. Sheth
A Qualitative Examination Of Topical Tweet And Retweet Practices, Meenakshi Nagarajan, Hemant Purohit, Amit P. Sheth
Kno.e.sis Publications
This work contributes to the study of retweet behavior on Twitter surrounding real-world events. We analyze over a million tweets pertaining to three events, present general tweet properties in such topical datasets and qualitatively analyze the properties of the retweet behavior surrounding the most tweeted/viral content pieces. Findings include a clear relationship between sparse/dense retweet patterns and the content and type of a tweet itself; suggesting the need to study content properties in link-based diffusion models.
A Study In Hadoop Streaming With Matlab For Nmr Data Processing, Kalpa Gunaratna, Paul E. Anderson, Ajith Harshana Ranabahu, Amit P. Sheth
A Study In Hadoop Streaming With Matlab For Nmr Data Processing, Kalpa Gunaratna, Paul E. Anderson, Ajith Harshana Ranabahu, Amit P. Sheth
Kno.e.sis Publications
Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud computing for Nuclear Magnetic Resonance (NMR)data analysis which normally consists of large amounts of data. Biologists often use third party or commercial software for ease of use. Enabling the capability to use this kind of software in a Cloud will be highly advantageous in many ways. Scripting languages especially designed for clouds may not have the flexibility biologists need for their purposes. Although this is true, they are familiar with special software packages that allow …