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Computer Science & Engineering Syllabi

2010

Articles 31 - 60 of 139

Full-Text Articles in Engineering

Ceg 724-01: Computer Vision I, Arthur A. Goshtasby Oct 2010

Ceg 724-01: Computer Vision I, Arthur A. Goshtasby

Computer Science & Engineering Syllabi

This course covers basic algorithms for low-level and mid-level vision. The algorithms deal with edge detection and image segmentation, feature detection and matching, image registration, and image stitching. Also covered in the course are computer vision applications to computer graphics, such as computational photography and image-based rendering.


Ceg 420/620-01: Computer Architecture, Jack Jean Oct 2010

Ceg 420/620-01: Computer Architecture, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.


Ceg 402/602-01: Introduction To Computer Communication, Bin Wang Oct 2010

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 702-01: Advanced Computer Networks, Yong Pei Oct 2010

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 221-01: Introduction To C Programming For Engineers, Jay Dejongh Oct 2010

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 209: Computer Programming For Business Ii, David M. Hutchison Oct 2010

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.


Cs 205: Introduction To Computers And Office Productivity Software, John P. Herzog Oct 2010

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.


Cs 784: Programming Languages, Prabhaker Mateti Oct 2010

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 466/666: Introduction To Formal Languages, Guozhu Dong Oct 2010

Cs 466/666: Introduction To Formal Languages, Guozhu Dong

Computer Science & Engineering Syllabi

CS 466/666 is an introduction to formal language and automata theory. In this course we will examine methods for defining syntax of languages and recognizing patterns: the syntax of languages can be defined using grammars and the patterns accepted by finite state machines. Along with presenting the fundamentals of these two topics, the course will develop and investigate the relationships between language definition and pattern recognition. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science, by Thomas Sudkamp.


Ceg 416-01: Matrix Computations, Ronald F. Taylor Oct 2010

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 770-01: Computer Engineering Mathematics, Bin Wang Oct 2010

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 730-01: Distributed Computing Principles, Yong Pei Jul 2010

Ceg 730-01: Distributed Computing Principles, Yong Pei

Computer Science & Engineering Syllabi

No abstract provided.


Cs 205: Introduction To Computers And Office Productivity Software, Ann Tirpack Jul 2010

Cs 205: Introduction To Computers And Office Productivity Software, Ann Tirpack

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 added 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 415: Social Implications Of Computing, Leo Finkelstein Jul 2010

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.


Ceg 433/633-01: Operating Systems, Bin Wang Jul 2010

Ceg 433/633-01: Operating Systems, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.


Ceg 220-01: Introduction To C Programming For Engineers - I, Ronald F. Taylor Jul 2010

Ceg 220-01: Introduction To C Programming For Engineers - I, Ronald F. Taylor

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. Some programming assignments may involve complex arithmetic and trigonometric and exponential functions. 4 credit hours. The course includes a scheduled laboratory section for which you must register.


Ceg 210-01: Pc Networking I, Karen Meyer Jul 2010

Ceg 210-01: Pc Networking I, Karen Meyer

Computer Science & Engineering Syllabi

Introduction to networking technologies including infrastructure and architectures, standards, protocols and directory services, administrations, security and management. Integrated lecture and lab.


Cs 142: Computer Programming Ii, Vanessa Starkey Jul 2010

Cs 142: 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 480/680: Comparative Programming Languages, Michael L. Raymer Jul 2010

Cs 480/680: Comparative Programming Languages, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.


Cs 240: Computer Programming I, Travis E. Doom Jul 2010

Cs 240: Computer Programming I, Travis E. Doom

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.


Cs 241: Computer Programming Ii, Travis E. Doom Jul 2010

Cs 241: Computer Programming Ii, Travis E. Doom

Computer Science & Engineering Syllabi

A continuation of CS240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.


Cs 205: Introduction To Computers And Office Productivity Software, Terri Bauer Jul 2010

Cs 205: 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.


Ceg 402/602-01: Introduction To Computer Communication, Bin Wang Apr 2010

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

Computer Science & Engineering Syllabi

No abstract provided.


Cs 499/699: Logic For Computer Scientists, Pascal Hitzler Apr 2010

Cs 499/699: 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.


Ceg 320/520-01: Computer Organization, Michael L. Raymer Apr 2010

Ceg 320/520-01: Computer Organization, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.


Ceg 360/560-01: Digital System Design, Travis E. Doom Apr 2010

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.


Cs 208-01: Computer Programming For Business I, David M. Hutchison Apr 2010

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.


Ceg 498-01: Design Experience, Thomas C. Hartrum Apr 2010

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.


Cs 400/600: Data Structures And Software Design, Guozhu Dong Apr 2010

Cs 400/600: Data Structures And Software Design, Guozhu Dong

Computer Science & Engineering Syllabi

No abstract provided.


Cs 466/666: Introduction To Formal Languages, Guozhu Dong Apr 2010

Cs 466/666: Introduction To Formal Languages, Guozhu Dong

Computer Science & Engineering Syllabi

CS 466/666 is an introduction to formal language and automata theory. In this course we will examine methods for defining syntax of languages and recognizing patterns: the syntax of languages can be defined using grammars and patterns accepted by finite state machines. Along with presenting the fundamentals of these tow topics, the course will develop and investigate the relationships between language definition and pattern recognition. The text will be the third edition of languages and Machines: An Introduction to the Theory of Computer Sciences, by Thomas Sudkamp.