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Articles 10021 - 10050 of 12811
Full-Text Articles in Physical Sciences and Mathematics
Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Ronald F. Taylor
Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Ronald F. Taylor
Computer Science & Engineering Syllabi
Introduction to numerical methods used in the sciences and engineering. Included will be methods for interpolation, data smoothing, integration, differentiation, and solution of systems of linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications to science, engineering and applied mathematics are an integral part of the course. Special topics presented as schedule permits. Four hours lecture.
Ceg 211-01: Pc Networking Ii, Karen Meyer
Ceg 211-01: Pc Networking Ii, Karen Meyer
Computer Science & Engineering Syllabi
The goal of this course is to prepare students for the real-world challenges of a networking professional. It is designed for students interested in network and server administration. The text includes extensive hands-on projects, exercises, and review questions in each chapter, which reinforce network administration skills as they are learned. Case projects at the end of each chapter allow students to take on the role of a network administrator, making decisions and troubleshooting real-life problems. Specific topic coverage includes: network administration and management, administering active directory, managing group policy, administering file resources, administering web resources in windows server 2003, administering …
Ceg 221-01: Introduction To C Programming For Engineers, Jay Dejongh
Ceg 221-01: Introduction To C Programming For Engineers, Jay Dejongh
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, and numerical methods applications. 4 credit hours. Prerequisite: CEG220 (Introduction to C Programming for Engineers).
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 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 429/629-01: Internet Security, Prabhaker Mateti
Ceg 429/629-01: Internet Security, Prabhaker Mateti
Computer Science & Engineering Syllabi
Introduction to security issues arising primarily from computer networks. Topics include node and service authentication, address spoofing, hijacking, SYN floods, smurfing, sniffing, routing tricks, and privacy of data en route. Buffer overruns and other exploitation of software development errors. Hardening of operating systems. Intrusion detection. Firewalls. Ethics. Prerequisites: CEG 433
Ceg 433-01: Operating Systems, Sarah Gothard
Ceg 433-01: Operating Systems, Sarah Gothard
Computer Science & Engineering Syllabi
Overview of operating systems internals. File-system usage and design, process usage and control, virtual memory, multi user systems, access control. Course projects use C++ language.
Ceg 461/661-01: Object-Oriented Programming And Design, Thomas C. Hartrum
Ceg 461/661-01: Object-Oriented Programming And Design, Thomas C. Hartrum
Computer Science & Engineering Syllabi
Study of object-oriented design and programming. Programming topics emphasize the core concepts of encapsulation, inheritance, polymorphism, and dynamic binding. Additional topics include class organization, software maintenance, and design of reusable components. There is a project to be implemented in a modem object-oriented language such as Java or C++.
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 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 726-01: Pattern Recognition, Arthur A. Goshtasby
Ceg 726-01: Pattern Recognition, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course will discuss fundamentals of Pattern Recognition, including supervised learning and clustering.
Ceg 702-01: Advanced Communication Networks, Bin Wang
Ceg 702-01: Advanced Communication Networks, Bin Wang
Computer Science & Engineering Syllabi
Section 01 of CEG 702: Advanced Communication Networks.
Ceg 770-01: Computer Engineering Mathematics, Jack Jean
Ceg 770-01: Computer Engineering Mathematics, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 260-01: Digital Computing Hardware/Switching Circuits, Meilin Liu
Ceg 260-01: Digital Computing Hardware/Switching Circuits, Meilin Liu
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, Ronald F. Taylor
Ceg 416-01: Matrix Computations, Ronald F. Taylor
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 familiarity with MATLAB is useful, and the ability to program in languages such as CIC++ or Fortran is very important. A basic knowledge of matrix algebra is …
Ceg 211-01: Pc Networking Ii, Karen Meyer
Ceg 211-01: Pc Networking Ii, Karen Meyer
Computer Science & Engineering Syllabi
Focuses on server installation, administration, multiple protocol integration, systems maintenance, and trouble-shooting. Includes hands-on class and laboratory assignments.
Non Bayesian Conditioning And Deconditioning, Jean Dezert, Florentin Smarandache
Non Bayesian Conditioning And Deconditioning, Jean Dezert, Florentin Smarandache
Branch Mathematics and Statistics Faculty and Staff Publications
In this paper, we present a Non-Bayesian conditioning rule for belief revision. This rule is truly Non-Bayesian in the sense that it doesn’t satisfy the common adopted principle that when a prior belief is Bayesian, after conditioning by X, Bel(X|X) must be equal to one. Our new conditioning rule for belief revision is based on the proportional conflict redistribution rule of combination developed in DSmT (Dezert-Smarandache Theory) which abandons Bayes’ conditioning principle. Such Non-Bayesian conditioning allows to take into account judiciously the level of conflict between the prior belief available and the conditional evidence. We also introduce the deconditioning problem …
Cs 470/670: Systems Simulation, Thomas C. Hartrum
Cs 470/670: Systems Simulation, Thomas C. Hartrum
Computer Science & Engineering Syllabi
Introduction to simulation and comparison with other techniques. Discrete simulation models. Introduction to queuing theory and stochastic processes. Comparison of simulation languages. Simulation methodology and selected applications.
Cs 242: Computer Programming Iii, Mateen M. Rizki
Cs 242: Computer Programming Iii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 790: Optimizing Compliers For Modern Architectures, Meilin Liu
Cs 790: Optimizing Compliers For Modern Architectures, Meilin Liu
Computer Science & Engineering Syllabi
This course studies compiler optimization for modern architectures. Between parsing the input program and generating the target machine code, optimizing compilers perform a wide range of program transformations on a program to improve its performance. In this course we focus on data dependence analysis, program transformations and loop transformations, loop scheduling, and a combination of these optimizing techniques.
Cs 740: Algorithms, Complexity And The Theory Of Computability, Pascal Hitzler
Cs 740: Algorithms, Complexity And The Theory Of Computability, Pascal Hitzler
Computer Science & Engineering Syllabi
What does it mean to say that some computational problem is intrinsically more difficult than some other problem? How can I claim that I have found a good algorithmic solution? The study of these questions gives rise to an area of Theoretical Computer Science called Complexity Theory, which is based on a systematic and thorough formal study of the complexity of problems with respect to their algorithmic solvability, using Turing machines as main conceptual tool. In this class, we will understand how problem and algorithmic complexity is measured, and discuss some of the main complexity classes arising from this study. …
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 214: Visual Basic Programming, Michael Ondrasek
Cs 214: 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 knowledge of programming is assumed. However, students should have a familiarity with programming concepts. The concepts covered will be applied in the Visual Basic programming languages. 4 credit hours.
Cs 209: Computer Programming For Business Ii, Dennis Kellermeier
Cs 209: 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.
Cs 205-04, 05, 06: Introduction To Computers And Office Productivity Software, Terri Bauer
Cs 205-04, 05, 06: 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 141: Computer Programming - I, Michael Ondrasek
Cs 141: Computer Programming - I, Michael Ondrasek
Computer Science & Engineering Syllabi
This course provides a general introduction to the fundamentals of computer 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. Prerequisite: MTH 127 (College Algebra) or equivalent.
Ceg 479/679-01: Computer Animation, Thomas Wischgoll
Ceg 479/679-01: Computer Animation, Thomas Wischgoll
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 463/663-01: The Personal Software Development Process, John A. Reisner
Ceg 463/663-01: The Personal Software Development Process, John A. Reisner
Computer Science & Engineering Syllabi
In this course, you will learn about more about one particular way to address some of the challenges and issues associated with successful software development. Specifically, you will learn and use the Personal Software Process (PSP), designed to help individual software practitioners become more adept at their craft through the use of project planning, project tracking, defect analysis, review and verification activities, software measurement, and process management. This course-and the PSP-are somewhat unique in that they aim to help software engineers become more successful, not by examining issues associated with large-scale development (as is the case with many software engineering …
Ceg 434/634-01: Concurrent Software Design, Douglas J. Kelly
Ceg 434/634-01: Concurrent Software Design, Douglas J. Kelly
Computer Science & Engineering Syllabi
This course 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 403/603-01: Personal Area Networks, Yong Pei
Ceg 403/603-01: Personal Area Networks, Yong Pei
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 320/520-01: Computer Organization, Michael L. Raymer
Ceg 320/520-01: Computer Organization, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.