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Full-Text Articles in Engineering
Ceg 777: Computer Aided Geometric Design, Arthur A. Goshtasby
Ceg 777: Computer Aided Geometric Design, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course covers the fundamentals of geometric modeling, including design of curves and surfaces, composite curves and surfaces, and subdivision techniques for creating free-form shapes.
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
No abstract provided.
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 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan
Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course deals with the theory and practice of compiler design. Topics emphasized are scanning and parsing. If time permits, semantic analysis will also be covered.
Cs 241: Introduction To Computer Science Ii, Ronald F. Taylor
Cs 241: Introduction To Computer Science Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
A continuation of CS 240. Emphasis is on solving more complex problems using object oriented programming. Prerequisite: CS 240. 4 credit hours.
Ceg 260: Digital Computer Hardware Switching Circuits, Meilin Liu
Ceg 260: 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.
Ceg 420/620: Computer Architecture, Jack Jean
Ceg 420/620: Computer Architecture, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 434/634: Concurrent Software Design, Yong Pei
Ceg 434/634: Concurrent Software Design, Yong Pei
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 480/680: Comparative Programming Languages, Michael L. Raymer
Cs 480/680: Comparative Programming Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 760: Advanced Software Computer Engineering, Thomas C. Hartrum
Ceg 760: Advanced Software Computer Engineering, Thomas C. Hartrum
Computer Science & Engineering Syllabi
This course covers advanced topics in software engineering. Aspects of problem specification, design, verification, and evaluation are discussed. We will focus on design methods, including software patterns and software architecture, plus some advanced topics involving formal methods of software specification or evaluation using software metrics. Students will participate in team projects to apply the methods discussed.
Ceg 420/620: Computer Architecture, Jack Jean
Ceg 420/620: Computer Architecture, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Cs 712: Advanced Topics In Artificial Intelligence: Inference Graphical Models, Shaojun Wang
Cs 712: Advanced Topics In Artificial Intelligence: Inference Graphical Models, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 410/610: Theoretical Foundations Of Computing, Thomas Sudkamp
Cs 410/610: Theoretical Foundations Of Computing, Thomas Sudkamp
Computer Science & Engineering Syllabi
This course is an introduction to one of the fundamental topics in the theory of computer science: computability theory. Computability theory is concerned with determining whether there is an algorithmic solution to a problem. The study of computability uses the Turing machine as the basic computational model. A Turing machine is a random access, read-write, finite state automaton. Although the Turing machine provides a simple computational framework, the Church-Turing thesis asserts that any problem that can be solved in any algorithmic manner can be solved by a Turing machine.
Cs 400/600: Data Structures And Software Design, Keke Chen
Cs 400/600: Data Structures And Software Design, Keke Chen
Computer Science & Engineering Syllabi
This course will cover the implementation of classical data structures and control structures, an introduction to the fundamentals of algorithm design and analysis, and the basic problem solving techniques.
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.
Cs 784: Programming Languages, Krishnaprasad Thirunarayan
Cs 784: Programming Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
To provide a solid foundation for studying advanced topics in Programming Language Specification and Design.
Ceg 320/520: Computer Organization And Assembly Language Programming, Travis E. Doom
Ceg 320/520: Computer Organization And Assembly Language Programming, Travis E. Doom
Computer Science & Engineering Syllabi
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 pasing, arithmetic operations, traps, and input/output. Macros, modularization, linkers, and debuggers are used.
Ceg 399: Introduction To Software Testing, John A. Reisner
Ceg 399: Introduction To Software Testing, John A. Reisner
Computer Science & Engineering Syllabi
This course covers software testing strategies, along with established best practices, so students learn how to test their software in a complete and systematic (vice ad-hoc) manner. Particular attention is paid to planning, writing, and executing software testing documentation, i.e., software test plan, to include documented results. Various projects are assigned, designed to illustrate various challenges associated with software testing, and to reinforce the strategies and techniques used to overcome these challenges
Ceg 221: Advanced C Programming For Engineers, Robert Helt
Ceg 221: 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.
Ceg 724: Computer Vision I, Arthur A. Goshtasby
Ceg 724: Computer Vision I, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course covers basic techniques for low-level and some mid-level vision. The techniques include: camera calibration, image filtering and edge detection, image segmentation and feature selection, and stereo depth perception.
Ceg 220: Introduction To C Programming For Engineers I, Jay Dejongh
Ceg 220: Introduction To C Programming For Engineers I, 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).
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, John C. Gallagher
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, John C. Gallagher
Computer Science & Engineering Syllabi
Digital Computer Hardware. Topics include switching algebra and switching
functions, logic design of combinational and sequential circuits using TTL,
combinational logic design with MSI and LSI, busing, storage elements, and
instrumentation.
Ceg 460/660: Introduction To Software Computer Engineering, Jeffrey Mcdonald
Ceg 460/660: Introduction To Software Computer Engineering, Jeffrey Mcdonald
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 sot1ware, 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: Embedded Systems, Jack Jean
Ceg 453/653: Embedded Systems, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
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 group generated products.
Ceg 436/636: Mobile Computing, Yong Pei
Ceg 436/636: Mobile Computing, Yong Pei
Computer Science & Engineering Syllabi
Increasingly.. people, computers and microelectronic devices are being linked together to bring to life the communications mantra: anybody, anything, anytime, anywhere. This junior/senior/graduate course provides an in-depth study of networking protocol and system design in the area of wireless networking and mobile computing. It will help engineering and computer science students establish a solid foundation in concepts, architecture, design, and performance evaluation of mobile computing principle, protocols and applications. It will also introduce students to a few hot topics in wireless networking and mobile computing research such as mobile IP, wireless TCP, 802. l l, agent techniques, etc. The course …
Ceg 210: Pc Networking I, Karen Meyer
Ceg 210: 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 433/633: Operating Systems, Prabhaker Mateti
Ceg 433/633: Operating Systems, Prabhaker Mateti
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.
Cs 766: Evolutionary Computation, Mateen M. Rizki
Cs 766: Evolutionary Computation, Mateen M. Rizki
Computer Science & Engineering Syllabi
This course explores evolutionary computation from a historical, theoretical, and application viewpoint. An overview of the most common evolutionary search techniques are presented including genetic algorithms, evolutionary programming, evolutionary strategies, and genetic programming. The fundamental issues driving the choice of problem representation and specific genetic operators are discussed. Various applications of evolutionary computation to problems in control, optimization, and pattern recognition are examined.
Cs 790: Information Security, Meilin Liu
Cs 790: Information Security, Meilin Liu
Computer Science & Engineering Syllabi
This course gives a comprehensive study of security vulnerabilities in information systems and the basic techniques for developing secure applications and practicing safe computing. Topics include: Conventional encryption; Hashing functions and data integrity; Public-key encryption (RSA, Elliptic-Curve); Digital signature; Block cipher; Watermarking for multimedia; Security standards and applications; Building secure software and systems; Management and analysis of security; Legal and ethical issues in computer security.