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Full-Text Articles in Engineering
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 435/635: Distributed Computing And Systems, Yong Pei
Ceg 435/635: 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,
Ceg 433/633: Operating Systems, Thomas Wischgoll
Ceg 433/633: Operating Systems, Thomas Wischgoll
Computer Science & Engineering Syllabi
The purpose of the class is for everyone to understand the issues involved with 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 C/C++ language and include the design of portions of an operating system.
Ceg 360/560 Ee 451/651: Digital System Design, Travis E. Doom
Ceg 360/560 Ee 451/651: 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.
Ceg 220: Introduction To C Programming For Engineers, Jay Dejongh
Ceg 220: 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.
Ceg 730: Distributed Computing Principles, Prabhaker Mateti
Ceg 730: Distributed Computing Principles, Prabhaker Mateti
Computer Science & Engineering Syllabi
This course is about the foundations and principles involved in distributed systems with an introduction to recent systems and languages. The next course (CEG 830) concentrates on systems related issues, and on the design of distributed systems and applications.
Ceg 477/677: Computer Graphics Ii, Thomas Wischgoll
Ceg 477/677: 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 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
This course will cover some of the challenges and issues associated with software project management. Emphasis will occur on two fronts: (1) 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 411/611: Microprocessor-Based System Design, Jack Jean
Ceg 411/611: Microprocessor-Based System Design, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 233: Linux And Windows, Prabhaker Mateti
Ceg 233: Linux And Windows, Prabhaker Mateti
Computer Science & Engineering Syllabi
This is a freshman-level 4 credit hour course conducted in a 10-week term. Its goal is to develop in the minds of students an effective operational model of computer systems running either Linux or Windows. This course is lab-oriented.
Ceg 750: Microprocessor, Jack Jean
Ceg 750: Microprocessor, Jack Jean
Computer Science & Engineering Syllabi
Design and implement an MC6812 computer system based on an Axiom CSM-12C32 board that allows the loading of a 6812 application program from a PC so as to reconfigure the system as both an analog waveform storage scope and a digital logic analyzer.
Cs 205-01: Introduction To Computers And Office Productivity Software, Terri Bauer
Cs 205-01: 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 142-01: Computer Programming Ii, Vanessa Starkey
Cs 142-01: Computer Programming Ii, Vanessa Starkey
Computer Science & Engineering Syllabi
Concepts introduced in CS 141 are developed in greater detail and depth.
Emphasis on verification and testing of programs. Three hours of lecture, two hours lab.
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 141-01: Computer Programming I, Vanessa Starkey
Cs 141-01: 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 242-01: Computer Programming Iii, Mateen M. Rizki
Cs 242-01: Computer Programming Iii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
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.
Cs 240-01: Computer Programming - I, Michael Ondrasek
Cs 240-01: Computer Programming - I, Michael Ondrasek
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 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 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 470/670-01: Systems Simulation, Thomas C. Hartrum
Cs 470/670-01: 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 302-01: Introduction To Oracle/Sql Databases, Karen Meyer
Cs 302-01: Introduction To Oracle/Sql Databases, Karen Meyer
Computer Science & Engineering Syllabi
Relational client server database design and access techniques. Includes building database tables, writing SQL and PL/SQL statements and programs and developing user interfaces using forms.
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.
Cs 480/680: Comparative Languages, Michael L. Raymer
Cs 480/680: Comparative Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 739: Medical Image Analysis, Arthur A. Goshtasby
Ceg 739: Medical Image Analysis, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course discusses applications of image analysis in medical imaging. Methods for analysis of both 2-D and 3-D (volumetric} images are covered.
Ceg 402/602: Introduction To Computer Communication, Bin Wang
Ceg 402/602: 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.
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 g10up generated products.
Cs 707-01: Information Retrieval, Krishnaprasad Thirunarayan
Cs 707-01: Information Retrieval, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will cover models for information retrieval, techniques for indexing and searching, and algorithms for classification and clustering. It will also cover SVM, latent semantic indexing, link analysis and ranking, Map-Reduce architecture and Hadoop, to different degrees of detail, time permitting.
Cs 499/699-01: Computer Programming For Scientific, Michael L. Raymer
Cs 499/699-01: Computer Programming For Scientific, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 499/699-01: Logic For Computer Scientists, Pascal Hitzler
Cs 499/699-01: Logic For Computer Scientists, Pascal Hitzler
Computer Science & Engineering Syllabi
Logic is often called the Calculus of Computer Science. Indeed, logic permeates most areas of Computer Science in one way or the other, sometimes more prominently, and sometimes as motivational or formal underpinning. Examples are database schema, program verification, semantics of programming languages, computer security, artificial intelligence, cognitive robotics, Web information systems, computer hardware circuitry, or modeling in software engineering.