Engineering Commons^™

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 …

Cs 240: Introduction To Computer Science, Eric Matson

Computer Science & Engineering Syllabi

We will develop basic techniques to design, develop and implement programs using the C++ language.

Cs 409/609: Principles Of Artificial Intelligence, Michael T. Cox

Computer Science & Engineering Syllabi

"Principles of Artificial Intelligence" is a graduate/undergraduate level introductory course in Artificial Intelligence (AI), designed for students interested in or specializing in AL We will cover several basic topics ranging from knowledge representation, inference, problem solving, search, the predicate calculus and other fundamentals of AI, to selected topics concerning intelligent agents, natural language processing, planning, learning, and case-based reasoning. The intent of the course is to provide a background in artificial intelligence, an exposure to the major issues and methods in the field, and experience in writing AI programs. The course will also examine real AI systems and allow the …

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. 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, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

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 240: Introduction To Computer Science I, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.

Cs 208: Computer Programming For Business With Java, I, Robert Rea

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 an intermediate-level of programming in Java. This course assumes students have never written a program before.

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.

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 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 206: Data Sheet, Terri Bauer

Computer Science & Engineering Syllabi

Data Sheet for section 02.

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 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 205: Computer Literacy And Office Automation, Kim Gros

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 application software categories that are covered in the seven modules

To understand the basics of e-mail

To introduce networking concepts including the Internet and its components and web browser basics

To learn ways to protect your data and avoid computer disasters

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.

Ceg 770: Computer Engineering Mathematics, Yong Pei

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, queueing theory, mathematics of signal processing, difference equations, and related differential and matrix equations. In addition to mathematical theory, appropriate applications will be presented.

Ceg/Ee 260: Digital Computer Hardware Switching Circuits, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 361/561-01: 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.

Cs 214: Object Oriented Programming, Roddy Keish

Computer Science & Engineering Syllabi

No abstract provided.

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 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.