Engineering Commons^™

Ceg 333: Introduction To Unix, Travis E. Doom

Computer Science & Engineering Syllabi

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. Prerequisite: CS 241.

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

Computer Science & Engineering Syllabi

No abstract provided.

Cs 141: Computer Programming I, Eric Maston

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.)

Cs 141: 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 205: Computer Literacy And Office Automation, Ann Tirpack

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
-Word Processing Applications
-Spreadsheet Applications
-Database Applications
-Presentation Graphics Applications

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.

Cs 205: Computer Literacy And Office Automation, Ann Tirpack

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 206: 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 205-07: Computer Literacy And Office Automation, John P. Herzog

Computer Science & Engineering Syllabi

Basic computer terminology, word processing, spreadsheets, databases, and graphics.

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

Computer Science & Engineering Syllabi

No abstract provided.

Cs 240: Introduction To Computer Science I, L. Jane Lin

Computer Science & Engineering Syllabi

This course is the first in the three course sequence "Introduction to Computer Science" offered by the
Computer Science department at WSU. This course presents a general introduction to C++ programming
language. It introduces the fundamental capabilities of C++ language as a problem solving tool. Topics include data representation, debugging and program verification.

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 340: Programming Language Workshop In C#, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course is designed as a self-study in C#. You are expected to learn the language and solve a set of programming problems assigned to you using MS Visual Studio .NET. There are no exams. We officially meet only once in the quarter. However, I will be available in the posted office hours for clarifications and discussions about the programming problems.

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.

Cs 400/600: Data Structures And Software Design, Natsuhiko Futamura

Computer Science & Engineering Syllabi

In this course, students will learn basic data structures and how to design and analyze software. Course covers introduction to the fundamentals of complexity and analysis and study of common problems and solutions using various data structures. After taking this course, students are expected to be able to design reasonable software for problems and estimate (evaluate) the performance of them even without writing the software.

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 409/609: Principles Of Artificial Intelligence, John C. Gallagher

Computer Science & Engineering Syllabi

Problem solving methods in artificial intelligence (AI) with emphasis on heuristic approaches. Topics include methods of representation, search, intelligent agents, planning, learning, natural language processing, logic, inference, robotics, and case-based reasoning. Three hours lecture, two hours lab.

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 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 466/666: Introduction To Formal Languages, Thomas Sudkamp

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 the syntax of languages and recognizing patterns. The syntax of languages can be defined using grammars and patterns can be described by regular expressions and accepted by finite state machines. Along with presenting the fundamentals of these topics, the course will develop and investigate the relationships between language definition and pattern recognition.

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

Computer Science & Engineering Syllabi

No abstract provided.

Cs 784: Programming Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course introduces concepts related to the specification and design of high-level programming languages. It discusses different programming paradigms, algebraic specification and implementation of data types, and develops interpreters for specifying operationally the various programming language features/constructs. It also introduces attribute grammar formalism and axiomatic semantics briefly. The programming assignments will be coded in Scheme.

Cs/Mth 316/516: Numerical Methods For Digital Computers, 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.

A Fast Three-Step Phase-Shifting Algorithm, Peisen S. Huang, Song Zhang

Song Zhang

We propose a new three-step phase-shifting algorithm, which is much faster than the traditional three-step algorithm. We achieve the speed advantage by using a simple intensity ratio function to replace the arctangent function in the traditional algorithm. The phase error caused by this new algorithm is compensated for by use of a look-up-table (LUT). Our experimental results show that both the new algorithm and the traditional algorithm generate similar results, but the new algorithm is 3.4 times faster. By implementing this new algorithm in a high-resolution, real-time 3D shape measurement system, we were able to achieve a measurement speed of …

3-D Optical Measurement Using Phase Shifting Based Methods, Peisen S. Huang, Song Zhang

Song Zhang

We review some of our most recent works on 3-D shape measurement using the digital fringe projection and phase-shifting method. First, we introduce the measurement principle and phase-shifting algorithms. Then we discuss an effective method for phase error compensation and a novel idea for system calibration. Finally, we describe a 3-D shape measurement system for high-resolution, real-time 3-D shape acquisition, reconstruction and display.

The Igipi Ontological Framework: Integrating Gene Interactions With Protein Interactions, Bill Andreopoulos, Aijun An, Xiangji Huang

Faculty Publications, Computer Science

No abstract provided.

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 205-08: 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.

Cs 214: Visual Basic.Net, Roddy Keish

Computer Science & Engineering Syllabi

No abstract provided.