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Articles 1801 - 1830 of 3445
Full-Text Articles in Engineering
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. Prerequisites: CS 240 or CS 220 or equivalent.
Ceg 210-01: Pc Networking I, Chris P. Fickert
Ceg 210-01: Pc Networking I, Chris P. Fickert
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.
Cs 205: Introduction To Computers And Office Productivity Software, John P. Herzog
Cs 205: 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.
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, arrays, pointers, and structures as well as sorting algorithms, linked lists, binary files, complex numbers, and numerical methods applications. 4 credit hours. Prerequisite: CEG220 (Introduction to C Programming for Engineers).
Cs 214: Visual Basic Programming, Vanessa Starkey
Cs 214: Visual Basic Programming, Vanessa Starkey
Computer Science & Engineering Syllabi
This course will cover the fundamentals of object-oriented computer
programming including design, structure, debugging, and testing. Visual Basic 2008 will be used for
developing programs.
Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer
Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer
Computer Science & Engineering Syllabi
Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theory, complexity theory, dynamic programming and optimization techniques are introduced in the context of application toward solving specific computational problems in molecular genetics. 4 credit hours.
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.
Cs 141: Computer Programming I, Vanessa Starkey
Cs 141: 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 415: Social Implications Of Computing, Leo Finkelstein
Cs 415: 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 you will be responsible for using concepts and theories provided in class lectures and discussions.
Cs 405/605: Introduction To Database Management Systems, Soon M. Chung
Cs 405/605: Introduction To Database Management Systems, Soon M. Chung
Computer Science & Engineering Syllabi
Survey of logical and physical aspects of database management systems. Entity Relationship, relational, object-oriented models for databases are presented. Physical implementation methods are discussed.
Cs 209: Computer Programming For Business Ii, David M. Hutchison
Cs 209: 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.
Ceg 260-01: Digital Computer Hardware/Switching Circuits, Meilin Liu
Ceg 260-01: Digital Computer 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.
Cs 784: Programming Languages, Prabhaker Mateti
Cs 784: Programming Languages, Prabhaker Mateti
Computer Science & Engineering Syllabi
Programming paradigms and concepts for high level programming languages. Techniques for formal specification. 4.000 Credit hours. Prerequisites: CS 480/680.
Cs 409/609: Principles Of Artificial Intelligence, Shaojun Wang
Cs 409/609: Principles Of Artificial Intelligence, Shaojun 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 101 (Engineering Mathematics). The course includes a scheduled laboratory section for which you must register.
Ceg 770-01: Computer Engineering Mathematics, Bin Wang
Ceg 770-01: Computer Engineering Mathematics, Bin Wang
Computer Science & Engineering Syllabi
Computer engineering and science students need proficiency in relevant applied mathematics to be able to discover and model difficult real-world computer engineering and science problems. The relationship of these problems to mathematical theory will be discussed. This course provides an introduction to linear and nonlinear programming, probability and stochastic process, and queueing theory. In addition to mathematical theory, appropriate applications will be presented.
Ceg 702-01: Advanced Computer Networks, Yong Pei
Ceg 702-01: Advanced Computer Networks, Yong Pei
Computer Science & Engineering Syllabi
This course provides an in-depth examination of the fundamental concepts and principles in communications and computer networks. Topics include: queuing analysis, ATM, frame relay, performance analysis of routings, and flow and congestion controls.
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 C/C++ or Fortran is very important. A basic knowledge of matrix algebra is …
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 modern 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
This course provides an introduction to basic concepts of communication networks, different types of networks, protocols over different layers, and network applications through lectures, labs, homework, and reading on relevant materials. You will
•Understand networking principles, protocols, and technologies.
•Understand some design and performance issues involved in providing a
network service.
•Acquire background for supporting e-commerce, e-government, and e-education.
•Gain hands-on experience with programming techniques for network
protocols.
•Obtain background for original research in computer networks.
Ceg 460/660-01: Introduction To Software Computer Engineering, Thomas C. Hartrum
Ceg 460/660-01: Introduction To Software Computer Engineering, Thomas C. Hartrum
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 453/653-01: Embedded Systems, Jack Jean
Ceg 453/653-01: Embedded Systems, Jack Jean
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: CEG260.
Ceg 420/620-01: Computer Architecture, Jack Jean
Ceg 420/620-01: Computer Architecture, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Cs 206: Computer Software Productivity Tools, John P. Herzog
Cs 206: Computer Software Productivity Tools, John P. Herzog
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including advanced topics in 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 advanced 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: Computer Programming - I, Dale E. Nelson
Cs 240: Computer Programming - I, Dale E. Nelson
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 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan
Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course is designed as a self-study in Python. You are expected to learn the language and solve a set of programming problems assigned to you from Budd's text using Python available from http://www.python.org. 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: Data Structures And Software Design, Meilin Liu
Cs 400/600: 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 410/610: Theoretical Foundations Of Computing, Pascal Hitzler
Cs 410/610: Theoretical Foundations Of Computing, Pascal Hitzler
Computer Science & Engineering Syllabi
No abstract provided.
Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan
Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will introduce fundamental concepts and paradigms underlying the design of modem programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java), and a functional language (e.g., Scheme). The overall goal is to enable comparison and evaluation of existing languages. The programming assignments will be coded in Java and in Scheme.