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Articles 1051 - 1080 of 1335
Full-Text Articles in Computer Sciences
Generalized Hamilton-Jacobi-Bellman Formulation-Based Neural Network Control Of Affine Nonlinear Discrete-Time Systems, Zheng Chen, Jagannathan Sarangapani
Generalized Hamilton-Jacobi-Bellman Formulation-Based Neural Network Control Of Affine Nonlinear Discrete-Time Systems, Zheng Chen, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, we consider the use of nonlinear networks towards obtaining nearly optimal solutions to the control of nonlinear discrete-time (DT) systems. The method is based on least squares successive approximation solution of the generalized Hamilton-Jacobi-Bellman (GHJB) equation which appears in optimization problems. Successive approximation using the GHJB has not been applied for nonlinear DT systems. The proposed recursive method solves the GHJB equation in DT on a well-defined region of attraction. The definition of GHJB, pre-Hamiltonian function, HJB equation, and method of updating the control function for the affine nonlinear DT systems under small perturbation assumption are proposed. …
Patterns For Active E-Learning In Cms Environments, Atanas Radenski
Patterns For Active E-Learning In Cms Environments, Atanas Radenski
Mathematics, Physics, and Computer Science Faculty Articles and Research
The proliferation of course management systems (CMS) in the last decade stimulated educators in establishing novel active e-learning practices. Only a few of these practices, however, have been systematically described and published as pedagogic patterns. The lack of formal patterns is an obstacle to the systematic reuse of beneficial active e-learning experiences. This paper aims to partially fill the void by offering a collection of active e-learning patterns that are derived from our continuous course design experience in standard CMS environments, such as Moodle and Black-board. Our technical focus is on active e-learning patterns that can boost student interest in …
Cs 714-01: Machine Learning, Shaojun Wang
Cs 714-01: Machine Learning, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 765-01: Foundations Of Neurocomputation, John C. Gallagher
Cs 765-01: Foundations Of Neurocomputation, John C. Gallagher
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 205-08: Introduction To Computers And Office Productivity Software, Kim Gros
Cs 205-08: Introduction To Computers And Office Productivity Software, Kim Gros
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including word processing (intermediate), 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 790-03: Services Science, Yong Pei
Cs 790-03: Services Science, Yong Pei
Computer Science & Engineering Syllabi
Service Science, Management, and Engineering (SSME), often referred to
as Services Science, is emerging as a distinct field of study. It
encompasses numerous areas relating to the increasing role of services
in the world economy. In this course we will focus primarily on
services computing, or the technical aspects of services science, and
secondarily on the allied economic, business, and organizational aspects
Cs 142-01: Computer Programming - Ii, Michael Ondrasek
Cs 142-01: 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 317-01: Numerical Methods Ii, Ronald F. Taylor
Cs 317-01: Numerical Methods Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
Continuation of CS/MTH/3161516. 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 sources of error in numerical methods. Special topics and applications presented as schedule permits. Four credit hours.
Cs 208-01: Computer Programming For Business I, David M. Hutchison
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 214-01: Visual Basic Programming, Michael Ondrasek
Cs 214-01: 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 know ledge of programming is assumed. However, students should have a familiarity with programming concepts. The concepts covered will be applied in the Visual Basic programming language. 4 credit hours.
Cs 240-01: Introduction To Computer Science, Jay Dejongh
Cs 240-01: Introduction To Computer Science, Jay Dejongh
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.
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 205: Introduction To Computers And Office Productivity Software, Ann Tirpack
Cs 205: Introduction To Computers And Office Productivity Software, Ann Tirpack
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including word processing (intermediate), 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 771-01: Natural Language Processing Techniques, Shaojun Wang
Cs 771-01: Natural Language Processing Techniques, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 790-02: Advanced Data Mining, Guozhu Dong
Cs 790-02: Advanced Data Mining, Guozhu Dong
Computer Science & Engineering Syllabi
This course covers advanced topics in data mining. The topics can be roughly classified along the following dimensions: pattern/model types, mining/analysis techniques, and data types. The course will examine sequence mining, text mining, graph mining, data cube mining, microarray gene expression mining, stream mining, time series mining, web mining, bioinformatics, privacy issues, etc.
Ceg 820-01: Computer Architecture Ii, Soon M. Chung
Ceg 820-01: Computer Architecture Ii, Soon M. Chung
Computer Science & Engineering Syllabi
Continuation of CEG720 with more details on multiprocessor systems, parallel processing, and performance analysis.
Cs 209-01: Computer Programming For Business Ii, Dennis Kellermeier
Cs 209-01: 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.
Ceg 233-01: Linux And Windows, Prabhaker Mateti
Ceg 233-01: Linux And Windows, Prabhaker Mateti
Computer Science & Engineering Syllabi
Introduction to Linux and Windows systems. GUI and Windowing Systems. Files and Directories. Ownership and Sharing. Programs and Processes. System calls, Libraries. Loading. Dynamic linking. Command Line Shells. Scripting languages. Regular expressions. Clients and Servers. Web browser clients and servers. Secure shell, sftp. SSL/TSL. HTTPS. System Administration. 4 credit hours. 3 hours lectures, 2 hours labs.
Ceg 355-01: Introduction To The Design Of Information Technology Systems, Thomas C. Hartrum
Ceg 355-01: Introduction To The Design Of Information Technology Systems, Thomas C. Hartrum
Computer Science & Engineering Syllabi
Introduction to the design of information systems comprising modem technologies such as SQL database programming, networks, and distributed computing with CORBA, electronic and hypertext (HTML) documents, and multimedia.
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 220-01: Introduction To C Programming For Engineers, Jay Dejongh
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 10 l (Engineering Mathematics).
Ceg 435/635-01: Distributed Computing And Systems, Yong Pei
Ceg 435/635-01: Distributed Computing And Systems, Yong Pei
Computer Science & Engineering Syllabi
Study of process coordination, client-server computing, distributed objects, transactions, concurrency control, recovery of transactions, network and distributed file systems, distributed operating systems, and fault-tolerant computing.
Ceg 468/668-01: Managing The Software Development Process, John A. Reisner
Ceg 468/668-01: Managing The Software Development Process, John A. Reisner
Computer Science & Engineering Syllabi
This course will cover some of the challenges and issues associated with managing software projects. Emphasis will occur on two fronts: (I) the software project manager's view (that is, what considerations and obstacles confront project managers during software development), and (2) the organizational view (that is, how organizations can foster a climate where software project management is performed effectively throughout an organization).
Ceg 750-01: Microprocessor, Jack Jean
Ceg 750-01: Microprocessor, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 210-01: Pc Networking I, Karen Meyer
Ceg 210-01: Pc Networking I, Karen Meyer
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 220-01: 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 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 434/634-01: Concurrent Software Design, Paul Bender
Ceg 434/634-01: Concurrent Software Design, Paul Bender
Computer Science & Engineering Syllabi
This course is a continuation of CEG 433 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.
Ceg 355-01: Introduction To The Design Of Information Technology Systems, Thomas C. Hartrum
Ceg 355-01: Introduction To The Design Of Information Technology Systems, Thomas C. Hartrum
Computer Science & Engineering Syllabi
Introduction to the design of information systems comprising modem technologies such as SQL database programming, networks, and distributed computing with CORBA, electronic and hypertext (HTML) documents, and multimedia.
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.