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Articles 2761 - 2790 of 3840
Full-Text Articles in Physical Sciences and Mathematics
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 400/600-01: Data Structures And Software Design, Michael L. Raymer
Cs 400/600-01: Data Structures And Software Design, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 701-01: Database Systems And Design, Kenneth Melendez
Cs 701-01: Database Systems And Design, Kenneth Melendez
Computer Science & Engineering Syllabi
No abstract provided.
Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp
Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp
Computer Science & Engineering Syllabi
No abstract provided.
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 790-01: Multimedia Coding And Communication (I), Yong Pei
Cs 790-01: Multimedia Coding And Communication (I), Yong Pei
Computer Science & Engineering Syllabi
No abstract provided.
Cs 765-01: Foundations Of Neurocomputation, Mateen M. Rizki
Cs 765-01: Foundations Of Neurocomputation, Mateen M. Rizki
Computer Science & Engineering Syllabi
This course is designed to help you develop a solid understanding of neural network algorithms and architectures. At the end of this course you should be able to read and critically evaluate most neural network papers published in major journals, (e.g. IEEE Transaction on Neural Networks, Neural Networks, and Neural Computation). In addition, you should be able to implement a broad range of network architectures and learning algorithms for a variety of applications.
Cs 884-01: Advanced Topics In Programming Languages, Krishnaprasad Thirunarayan
Cs 884-01: Advanced Topics In Programming Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
The primary focus of this course is the design and specification of the Object-Oriented language Java.
Cs 317-01: Numerical Methods For Digital Computers - Ii, Ronald F. Taylor
Cs 317-01: Numerical Methods For Digital Computers - Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
Introduction to numerical methods used in the sciences. Methods for solving matrix eigenvalue problems, initial value and boundary value problem for ordinary differential equations (ODEs). Study of standard types of partial differential equations (PDEs) with applications. Solution techniques for systems of nonlinear equations. Discussion of courses of errors in numerical methods. Special topics and applications presented as schedule permits. 4 credit hours. Prerequisites: CS 316, MTH 233, 253, or 355. Programming course prerequisites: EGR 153 or CEG 220 or CS 241.
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 333: Introduction To Unix, Todd Rovito
Ceg 333: Introduction To Unix, Todd Rovito
Computer Science & Engineering Syllabi
Introduction to the use of UNIX and UNIX tools as a problem-solving environment. Emphasis on the shell, files and directories, editing files, user process management, compiling, and debugging. Prerequisite: CS 241.
Ceg 434/634-01: Concurrent Software Design, Natsuhiko Futamura
Ceg 434/634-01: Concurrent Software Design, Natsuhiko Futamura
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 460/660-01: Introduction To Software Computer Engineering, Robert J. Weber
Ceg 460/660-01: Introduction To Software Computer Engineering, Robert J. Weber
Computer Science & Engineering Syllabi
This course is concerned with the techniques of designing and constructing large programs. Some of the required basic concepts necessarily have to be developed using small programs as examples. To this extent, we also study programming-in-the-small. The overall objectives are to present an overview of issues in the development of software, to discuss terminology, to illustrate via example case studies, and to give sufficiently detailed advice on how to develop quality software. Hands-on experience is emphasized through the use of homework and a class project.
Ceg 468/668: Managing The Software Development Process, John A. Reisner
Ceg 468/668: Managing The Software Development Process, John A. Reisner
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 498-01: Design Experience, Thomas C. Hartrum
Ceg 498-01: 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 c01mnunications 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 journals and on the quality of their collective efforts as reflected in group generated products.
Ceg 477/677-01: Computer Graphics Ii, Thomas Wischgoll
Ceg 477/677-01: Computer Graphics Ii, Thomas Wischgoll
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 725-01: Computer Vision Ii, Arthur A. Goshtasby
Ceg 725-01: Computer Vision Ii, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 730-01: Distributed Computing Principles, Prabhaker Mateti
Ceg 730-01: Distributed Computing Principles, Prabhaker Mateti
Computer Science & Engineering Syllabi
Communicating sequential processes, clients and servers, remote procedure calls, stub generation, weak and strong semaphores, split-binary-semaphores, and distributed termination. Example languages: SR, Linda.
Ceg 260-01: Digital Computer Hardware/Switching Circuits, Eric Maston
Ceg 260-01: Digital Computer Hardware/Switching Circuits, Eric Maston
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 416-01: Matrix Computations, Bin Wang
Ceg 416-01: Matrix Computations, Bin Wang
Computer Science & Engineering Syllabi
This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modern software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to applications areas such as structural analysis, heat transfer, neural networks, mechanical vibrations, and image processing in biomedical engineering. A student should familiarize himself/herself with MATLAB. A basic knowledge of matrix algebra is required.
Ceg 490/690-01: Technology-Based Ventures, Forouzan Golshani, S. Narayanan
Ceg 490/690-01: Technology-Based Ventures, Forouzan Golshani, S. Narayanan
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 221-01: Advanced C Programming For Engineers, Robert Helt
Ceg 221-01: Advanced C Programming For Engineers, Robert Helt
Computer Science & Engineering Syllabi
This course introduces advanced constructs, algorithms, and data structures in the C programming language. Emphasis is on problem solving and techniques useful to engineers. Topics include functions, array, pointers, structures as well as sorting algorithms, linked lists, complex numbers, stacks, queues, hash tables, and binary trees. 4 credit hours. Prerequisite: CEG220 (Introduction to C Programming for Engineers).
Ceg 320/520-01: Computer Organization And Assembly Language Programming, Sridhar Ramachandran
Ceg 320/520-01: Computer Organization And Assembly Language Programming, Sridhar Ramachandran
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 passing, arithmetic operations, traps, and input/output. Macros, modularization, linkers, and debuggers are used. Three hours lecture, two hours lab. Prerequisite: CS 242, CEO 260.
Ceg 220-01: Introduction To C Programming For Engineers, Robert Helt
Ceg 220-01: Introduction To C Programming For Engineers, Robert Helt
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).
Ceg 333-01: Introduction To Unix, Thomas Wischgoll
Ceg 333-01: Introduction To Unix, Thomas Wischgoll
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 411/611-01: Microprocessor-Based System Design, Jack Jean
Ceg 411/611-01: Microprocessor-Based System Design, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 433/633-01: Operating Systems, Prabhaker Mateti
Ceg 433/633-01: Operating Systems, Prabhaker Mateti
Computer Science & Engineering Syllabi
The management of resources in multi-user computer systems. Emphasis is on problems of file-system design, process scheduling, memory allocation, protection, and tools needed for solutions. Course projects use the CIC++ language and include the design of portions of an operating system. 4 credit hours.
A Semantic Future For Ai, Rudi Studer, Anupriya Ankolekar, Pascal Hitzler
A Semantic Future For Ai, Rudi Studer, Anupriya Ankolekar, Pascal Hitzler
Computer Science and Engineering Faculty Publications
In our modern information society, people need to manage ever-increasing numbers of personal devices and conduct more of their work and activities online, often making use of heterogeneous services. The amount of information to be processed by each individual is constantly growing, making it increasingly difficult to control, channel, share and make constructive use of it. To mitigate this, computing needs to become much more human-centered, e.g. by presenting personalised information to users and by respecting personal preferences in controlling multiple devices or invoking various services. Appropriate representation of the semantics of the information and functionality of devices and services …
Show Me What You Mean! Exploiting Domain Semantics In Ontology Visualization, Ravi Pavagada, Christopher Thomas, Amit P. Sheth, William S. York
Show Me What You Mean! Exploiting Domain Semantics In Ontology Visualization, Ravi Pavagada, Christopher Thomas, Amit P. Sheth, William S. York
Kno.e.sis Publications
Ontologies build the backbone for many life-sciences applications. These ontologies, however, are represented in XML based languages that are meant for machine-consumption and hence are difficult for humans to comprehend. For a meaningful visualization of these ontologies, it is important that the display of entities and relationships captures the cognitive representation of the domain as perceived by the domain experts. In this paper we present OntoVista, an ontology visualization tool that is adaptable to the needs of different domains, especially in the life sciences. While keeping the graph structures as the predominant model, we provide a semantically enhanced graph display …
Taxaminer: Improving Taxonomy Label Quality Using Latent Semantic Indexing, Cartic Ramakrishnan, Christopher Thomas, Vipul Kashyap, Amit P. Sheth
Taxaminer: Improving Taxonomy Label Quality Using Latent Semantic Indexing, Cartic Ramakrishnan, Christopher Thomas, Vipul Kashyap, Amit P. Sheth
Kno.e.sis Publications
The development of taxonomies/ontologies is a human intensive process requiring prohibitively large resource commitments in terms of time and cost. In our previous work we have identified an experimentation framework for semi-automatic taxonomy/hierarchy generation from unstructured text. In the preliminary results presented, the taxonomy/hierarchy quality was lower than we had anticipated. In this paper, we present two variations of our experimentation framework, viz. Latent semantic Indexing (LSI) for document indexing and the use of term vectors to prune labels assigned to nodes in the final taxonomy/hierarchy. Using our previous results of taxonomy/hierarchy quality as the baseline we present results that …