Computer Engineering Commons^™

Ceg 210-01: Pc Networking I, Karen Meyer

Computer Science & Engineering Syllabi

Introduction to PC Networking hardware, concepts, and technologies. Focus is on LAN administration, and hardware and software configuration.

Ceg 320/520-01: Computer Organization And Assembly Language Programming, Travis E. Doom

Computer Science & Engineering Syllabi

Terminology and understanding of functional organizations and sequential operatio of a digital computer. Program structure, and machine and assembly language topics including addressing, stacks, argument pasing, arithmetic operations, traps, and input/output. Macros, modularization, linkers, and debuggers are used. Three hours lecture, two hours lab. Prerequisite: CS 242, CEG 260.

Ceg 210-01: Pc Networking I, Karen Meyer

Computer Science & Engineering Syllabi

No abstract provided.

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, hashtables, and binary trees. 4 credit hours.

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).

Ceg 320/520-01: Computer Organization And Assembly Language Programming, Michael L. Raymer

Computer Science & Engineering Syllabi

[4 credit hours] 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. Prerequisite: CEG 260, CS 242.

Ceg 333: Introduction To Unix, Maite Trujillo

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.

Ceg 402/602-01: Introduction To Computer Communication, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 416-01: Matrix Computations, Daniel C. Lee

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 application 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. All programming assignments will be done in Matlab. A basic knowledge of matrix algebra is required. Prerequisite: MTH 253 or …

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 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 modern object-oriented language such as Java or C++.

Ceg 498-01: Design Experience, John C. Gallagher

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 journals and on the quality of their collective efforts as reflected in group generated products.

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 750-01: Microprocessor, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 260-01: Digital Computer Hardware/Switching Circuits, Eric Maston

Computer Science & Engineering Syllabi

We will discuss and cover basic number and logic systems. Labs will be used to gain valuable "hand's on" experience in implementing elementary circuits and logic designs.

Ceg 790-01: Emerging Networks, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 820-01: Computer Architecture Ii, Soon M. Chung

Computer Science & Engineering Syllabi

Continuation of CEG 720 with more details on multiprocessor systems, parallel processing, and performance analysis.

Ceg 860-01: Object-Oriented Programming, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course motivates the need for object-oriented programming, and studies, in detail, object-oriented programming techniques, languages, and technology. The lectures will focus on the foundations of OOP, while the student presentations will focus on the applications and extensions of Object Technology.

Ceg 498-02: 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 journals and on the quality of their collective efforts as reflected in group generated products.

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: CEG 220 (Introduction to C Programming for Engineers).

Cs 466/666: Introduction To Formal Languages, Thomas Sudkamp

Computer Science & Engineering Syllabi

CS 466/666 is an introduction to formal language and automata theory. In this course we will examine two methods for defining and recognizing languages: generating languages using grammars and accepting languages using finite state machines. Along with presenting the fundamentals of these two topics, the course will develop and investigate the relationships between these approaches. The focus will be two important families of languages, the regular languages and the context-free languages. We will exhibit the importance of the formal techniques by considering their application to the definition of programming languages and pattern matching. The text will be the second edition …

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 434/634-01: Concurrent Software Design, Thomas C. Hartrum

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.

Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp

Computer Science & Engineering Syllabi

No abstract provided.

Cs 242-02: Introduction To Computer Science Iii, Eric Maston

Computer Science & Engineering Syllabi

This is the third and final course in the Introduction to Computer Science series. This course focuses on data structures with abstract data types, such as trees, stacks, queues and tables.

Cs 240-02: Introduction To Computer Science I, Dale E. Nelson

Computer Science & Engineering Syllabi

No abstract provided.

Pattern Recognition Via Machine Learning With Genetic Decision-Programming, Carl C. Hoff

Browse all Theses and Dissertations

In the intersection of pattern recognition, machine learning, and evolutionary computation is a new search technique by which computers might program themselves. That technique is called genetic decision-programming. A computer can gain the ability to distinguish among the things that it needs to recognize by using genetic decision-programming for pattern discovery and concept learning. Those patterns and concepts can be easily encoded in the spines of a decision program (tree or diagram). A spine consists of two parts: (1) the test-outcome pairs along a path from the program's root to any of its leaves and (2) the conclusion in that …

Design And Evaluation Of Processes For Fuel Fabrication, Georg F. Mauer

Fuels Campaign (TRP)

The goal of this research project was to provide technical support to process designers working on the development of the fuel cycles for transmutation applications. Detailed process models were developed to better define the impact of fuel choice on the transmuter fuel cycle, including relative process losses, waste generation, and plant capital cost. These process models provide insight regarding required plant size and number of plants needed to mesh with the fuel recycling line. They also determine requirements for automation.

Manufacturing models for large-scale production in a hot cell environment were also developed. Combined, these two models allow the assessment …

A Realization Of Sc-Cnn-Based Circuit Using Ftfn, Eni̇s Günay, Esma Uzunhi̇sarcikli, Recai̇ Kiliç, Mustafa Alçi

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a realization of the State Controlled Cellular Neural Network (SC-CNN)-based circuit using Four Terminal Floating Nullor (FTFN) as active element is presented. In this realization, a new version of autonomous Chua's circuit has been considered using FTFN realization of SC-CNN-based circuit. The performance of the proposed SC-CNN-based circuit is demonstrated by PSpice simulations.

Prior Knowledge Input Method In Device Modeling, Serdar Heki̇mhan, Serdar Menekay, N. Serap Şengör

Turkish Journal of Electrical Engineering and Computer Sciences

The artificial neural networks are being used in modelling electronic elements and devices especially at microwave frequencies where non-linearity and dependence on frequency cannot be neglected. In this paper, instead of using artificial neural networks as a unique modelling device prior knowledge input method based on feed-forward artificial neural network structures as multi-layer perceptrons and wavelet-based neural networks is investigated. The benefits of prior knowledge input method over plain usage of artificial neural networks in modelling BJT is explored by comparing models obtained with and without prior knowledge input. The novelty of the paper is utilizing wavelet-based neural networks as …