Computer Engineering Commons^™

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 levelprogramming. This course assumes students have never written a program before.

Cs 241: 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.

Cs 242: Introduction To Computer Science Iii, Praveen Kakumanu

Computer Science & Engineering Syllabi

This is the final course in the three course sequence "Introduction to Computer Science" offered by the Computer Science department, WSU. It focuses on building a number of abstract data types such as stacks, queues, trees and tables. We continue to study the C++ object-oriented concepts such as Inheritance, polymorphism and template handling. We also start learning to analyze the complexity of algorithms in this course.

Cs 701: Database Systems And Design I, Guozhu Dong

Computer Science & Engineering Syllabi

An introduction to database design, database system implementation issues and techniques, and advanced data models.

Cs 499/699: Introduction To Data Mining, Guozhu Dong

Computer Science & Engineering Syllabi

Data mining is concerned with the extraction of novel knowledge from large amounts of data.
This course introduces and studies the concepts, issues, tasks and techniques of data mining. Topics
include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, scalability, spatial and sequence mining, and data mining applications. This course is designed for senior year undergraduate students and graduate students. 3 hours lecture, 2 hours lab.

Ceg 476/676-01: Computer Graphics I, Lyubomir Zagorchev

Computer Science & Engineering Syllabi

An introduction to 2-D and 3-D computer graphics and their OpenGL implementations.

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.

Ceg 320/520: Computer Organization And Assembly Language Programming, Jennifer White 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 passing, arithmetic operations, traps, and input/output. Macros, modularization, linkers, and debuggers are used.

Ceg 453/653: Design Of Computing Systems, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 333: Introduction To Unix, Bin Wang

Computer Science & Engineering Syllabi

This is a 2 credit hour course that has 10 50-minute lectures and I 0 50-minute Jab sessions. 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.

Cs 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.

Cs 400/600: Data Structures And Software Design, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

Cs/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer, Dan E. Krane

Computer Science & Engineering Syllabi

Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theory, complexity theory, dynamic programming and optimization techniques are introduced in the context of application toward solving specific computational problems in molecular genetics.

Cs 205: Computer Literacy And Office Automation, Terri Bauer

Computer Science & Engineering Syllabi

To understand basic computer operations and the principal components of a computer and connected peripheral devices

To understand and examine current operating systems, software utilities, device drivers and
application software

To define and understand current storage technology and learn about logical file storage and
management

To become proficient in using:
-Windows XP
-Spreadsheet Applications
-Database Applications
-Presentation Graphics Applications
-To understand the basics of email

Cs 480/680: Comparative Languages, Michael T. Cox

Computer Science & Engineering Syllabi

"Comparative Languages" is a graduate/undergraduate level introductory course in programming languages. We will cover several basic topics ranging from syntax (BNF) and semantics formalisms (attribute grammars), to data types, scope and extent, type checking, parameter passing methods, expression parsing and other fundamentals of programming languages and language development. The intent of the course is to provide a background in the concepts and constructs of languages, rather than simply providing just a survey of various computer languages. Nonetheless in this class, we will learn and program in three very different languages: Pascal (an imperative language), Java (an object-oriented language), and LISP …

Ceg 429/629: 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 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.

The goal of this course is to blend social implications issues with common technical communication formats you'll need to be familiar with out in the "real world." To do this, the course is built around a research project on a social implications topic …

Cs 340: Programming Language Workshop In Java, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course is designed as a self-study in Java. You are expected to work independently to learn the Java language and solve a set of programming problems assigned to you using latest Java SDK available at http://java.sun.com or other software as approved by the instructor. There are no exams. We officially meet only once in a quarter. However, I will be available in the posted office hours for clarifications and general discussion of the programming assignments. Do not expect support in debugging badly documented code.

Cs 214: Object Oriented Programming, Roddy Keish

Computer Science & Engineering Syllabi

No abstract provided.

Cs 302-01: Client Server Databases, Karen Meyer

Computer Science & Engineering Syllabi

No abstract provided.

Cs/Mth 317/517: Numerical Methods For Digital Computers - Ii, Ronald F. Taylor

Computer Science & Engineering Syllabi

Continuation of CS/MTH/316/516. Introduction to numerical methods used in the sciences. Methods for solving matrix eigenvalue problems, initial value and boundary value problem for ordinary differential equations (ODEs). Study of standard types of partial differential equations (PDEs) with applications. Solution techniques for systems of nonlinear equations. Discussion of sources of errors in numerical methods. Special topics and applications presented as schedule permits. 4 credit hours. Prerequisites: CS 316, MTH 233, 253, or 355. Programming course prerequisites: EGR 153 or CEG 220 or CS 241.

Cs 790-01: Introduction To Parallel Algorithms, Natsuhiko Futamura

Computer Science & Engineering Syllabi

Low-cost parallel computers such as PC clusters are becoming available, and many previously unsolvable problems can be solved using such computers. However, designing algorithms that perform well on parallel computers is often challenging. The focus of this course is on learning how to design algorithms for parallel computers and how to evaluate them.