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Computer Science & Engineering Syllabi

2005

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Ceg 360/560-01: Digital System Design, Travis E. Doom Jul 2005

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 460/660-01: Introduction To Software Computer Engineering, John A. Reisner Jul 2005

Ceg 460/660-01: Introduction To Software Computer Engineering, John A. Reisner

Computer Science & Engineering Syllabi

This course introduces established practices for engineering large-scale software systems. Emphasis is placed on both the technical and managerial aspects of software engineering, and the software development process. This includes techniques for requirements elicitation, analysis, design, testing, and project management. The course emphasizes object-oriented development with the Unified Modeling Language (UML). Hands-on experience is provided through individual homework problems and a group project.


Cs 206-01: Advanced Concepts/Techniques And Software Productivity Tools, John P. Herzog Jul 2005

Cs 206-01: Advanced Concepts/Techniques And Software Productivity Tools, John P. Herzog

Computer Science & Engineering Syllabi

By the end of this course, the students will have a greater depth of understanding in the areas of spreadsheets, databases, and presentation software using Microsoft Excel, Access, and PowerPoint.


Cs 208: Computer Programming For Business I, Dennis Kellermeier Jul 2005

Cs 208: Computer Programming For Business I, Dennis Kellermeier

Computer Science & Engineering Syllabi

CS 208 is the first 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. This course assumes students have never written a program before.


Cs 141-01: Computer Programming - I, Ronald F. Taylor Jul 2005

Cs 141-01: Computer Programming - I, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course provides a general introduction to the fundamentals of computer 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. Prerequisite: MTH 127 (College Algebra) or equivalent.


Cs 415: Social Implications Of Computing, Leo Finkelstein Jul 2005

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 209: Computer Programming For Business Ii, Dennis Kellermeier Jul 2005

Cs 209: 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 242: Computer Science Iii, Mateen M. Rizki Jul 2005

Cs 242: Computer Science Iii, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.


Cs 241: Computer Science Ii, Eric Maston Jul 2005

Cs 241: Computer Science Ii, Eric Maston

Computer Science & Engineering Syllabi

This course is the second in the Introduction to Computer Science (24X) series. It focuses on object oriented concepts and an introduction to data structures.


Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan Jul 2005

Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will introduce fundamental concepts and paradigms underlying the design of modern 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 5 and in Scheme.


Cs 214: Object Oriented Programming, Roddy Keish Jul 2005

Cs 214: Object Oriented Programming, Roddy Keish

Computer Science & Engineering Syllabi

No abstract provided.


Cs 765: Foundations Of Neurocomputation, Mateen M. Rizki Jul 2005

Cs 765: Foundations Of Neurocomputation, Mateen M. Rizki

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/Mth 316/516: Numerical Methods For Digital Computers - I, Ronald F. Taylor Apr 2005

Cs/Mth 316/516: Numerical Methods For Digital Computers - I, Ronald F. Taylor

Computer Science & Engineering Syllabi

Introduction to numerical methods used in the sciences. Methods of interpolation, data smoothing, functional approximation, numerical differentiation and integration. Solution techniques for linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications of interest to engineering, science, and applied mathematics students are an integral part of the course. Special topics presented as schedule permits. 4 credit hours. Prerequisites: CS 142 or EGR 153 or CEG 220 or CS 241, MTH 231, MTH 253 or 255.


Cs 241-02: Introduction To Computer Science Ii, Praveen Kakumanu Apr 2005

Cs 241-02: Introduction To Computer Science Ii, Praveen Kakumanu

Computer Science & Engineering Syllabi

This course is the second in the three course sequence "Introduction to Computer Science" offered by the Computer Science department, WSU. It focuses on tools for building abstract data types {using structure and class concepts in C++) and Object-Oriented Programming. We also begin the study of data structures in this course. Note: For all CS 241 students, concurrent registration into CS 241 lab is a must


Ceg 724-01: Computer Vision I, Maite Trujillo Apr 2005

Ceg 724-01: Computer Vision I, Maite Trujillo

Computer Science & Engineering Syllabi

This course covers basic techniques for low-level and some mid-level vision processes. The techniques include: linear filtering, edge detection, image segmentation and classification, stereo vision, motion, texture analysis and image matching.


Ceg 702-01: Advanced Computer Communications, Bin Wang Apr 2005

Ceg 702-01: Advanced Computer Communications, Bin Wang

Computer Science & Engineering Syllabi

This is a graduate level course on advanced computer communication and networking technologies. The course involves both a reading/lecture/discussion component and a project component. We will read papers on various aspects of advanced computer networking: LAN/WAN technologies, congestion/flow control, self-similar traffic analysis, queuing theory, link scheduling, routing, internetworking, multicast, wireless technologies, quality of services, and peer-to-peer
networks. Various technical and research issues involved will be studied in depth.


Ceg 260-01: Digital Computing Hardware/Switching Circuits, Eric Maston Apr 2005

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

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 429/629-01: Internet Security, Prabhaker Mateti Apr 2005

Ceg 429/629-01: Internet Security, Prabhaker Mateti

Computer Science & Engineering Syllabi

Introduction to security issues arising primarily from computer networks. Topics include node and service authentication, address spoofing, hijacking, SYN floods, smurfing, sniffing, routing tricks, and privacy of data en route. Buffer overruns and other exploitation of software development errors. Hardening of operating systems. Intrusion detection. Firewalls. Ethics.


Cs 776: Functional Programming, Krishnaprasad Thirunarayan Apr 2005

Cs 776: Functional Programming, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will discuss important concepts of functional programming such as recursive definitions, higher-order functions, type inference, polymorphism, abstract data types, modules etc. The programming exercises will illustrate the utility of list-processing, pattern matching, abstraction of data/control, strong typing, and parameterized modules (functors). We also study the mathematical reasoning involved in the design of functional programs and techniques for proving properties about functions so defined.


Ceg 720-01: Computer Architecture I, Soon M. Chung Apr 2005

Ceg 720-01: 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. 3 hours lecture and 2 hours lab.


Ceg 476/676-01: Computer Graphics I, Arthur A. Goshtasby Apr 2005

Ceg 476/676-01: Computer Graphics I, Arthur A. Goshtasby

Computer Science & Engineering Syllabi

The objective of this course is to learn the fundamentals of model representation, algorithms that generate realistic 2-D and 3-D models, and practice some of the concepts through program implementation.


Ceg 210-02: Pc Networking I, Chris P. Fickert Apr 2005

Ceg 210-02: Pc Networking I, Chris P. Fickert

Computer Science & Engineering Syllabi

The objective of the course is to provide an introduction to PC networking hardware, concepts, and technologies with a focus on hardware configuration and LAN administration using in-class, hands-on exercises with Novell NetWare.


Ceg 499-01: Www Autonomous Robotics, John C. Gallagher, Richard Drushel Apr 2005

Ceg 499-01: Www Autonomous Robotics, John C. Gallagher, Richard Drushel

Computer Science & Engineering Syllabi

WWW Autonomous Robotics is a computer engineering practicum offered entirely via the Internet. The course adopts a low threshold, no ceiling philosophy. This means that the course is designed to be inclusive of students with limited formal training while still providing significant challenges for those with greater preparation and/or motivation. Students will be required to create control programs for a mobile autonomous robot. In each course unit, the problems posed will become increasingly more challenging. Coaching, advise, and instruction are done online via chat interfaces. Student code is tested first in a simulator that we provide and then on a …


Ceg 333-01: Introduction To Unix, Maite Trujillo Apr 2005

Ceg 333-01: Introduction To Unix, Maite Trujillo

Computer Science & Engineering Syllabi

CEG 333. 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 210-01: Pc Networking I, Karen Meyer Apr 2005

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.


Ceg 255-01: Introduction To The Design Of Information Technology Systems, Eric Maston Apr 2005

Ceg 255-01: Introduction To The Design Of Information Technology Systems, Eric Maston

Computer Science & Engineering Syllabi

Information systems consist of modern elements such as database systems, networks, multi-platform distributed computing, web infrastructure and multimedia computing. In this course we will address these areas individually and also where they intersect to gain a basic understanding of how information technology can be used to solve real problems.


Ceg 435/635-01: Distributed Computing And Systems, Thomas C. Hartrum Apr 2005

Ceg 435/635-01: Distributed Computing And Systems, Thomas C. Hartrum

Computer Science & Engineering Syllabi

Study of distributed computing principles and systems. Issues such as distributed architecture, process coordination, client-server computing, deadlock, network and distributed operating systems, network and distributed file systems, concurrency control and recovery of distributed transactions, and fault-tolerant computing, and real-time distributed systems are studied. Design and implementation projects related to some of these issues are also assigned.


Ceg 751-01: Microprocessors Ii, Jack Jean Apr 2005

Ceg 751-01: Microprocessors Ii, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.


Ceg 360/560-01: Digital System Design, Travis E. Doom Apr 2005

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 760-01: Advanced Software Computer Engineering, Thomas C. Hartrum Apr 2005

Ceg 760-01: 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.