Engineering Commons^™

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 c01mnunications 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 journals and on the quality of their collective efforts as reflected in group generated products.

Cs 340-01: 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.

Ceg 460/660-01: Introduction To Software Computer Engineering, Robert J. Weber

Computer Science & Engineering Syllabi

This course is concerned with the techniques of designing and constructing large programs. Some of the required basic concepts necessarily have to be developed using small programs as examples. To this extent, we also study programming-in-the-small. The overall objectives are to present an overview of issues in the development of software, to discuss terminology, to illustrate via example case studies, and to give sufficiently detailed advice on how to develop quality software. Hands-on experience is emphasized through the use of homework and a class project.

Ceg 468/668: Managing The Software Development Process, John A. Reisner

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 416-01: Matrix Computations, Bin Wang

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 student should familiarize himself/herself with MATLAB. A basic knowledge of matrix algebra is required.

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

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 320/520-01: Computer Organization And Assembly Language Programming, Sridhar Ramachandran

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. Three hours lecture, two hours lab. Prerequisite: CS 242, CEO 260.

Cs 214-01: Visual Basic.Net, Roddy Keish

Computer Science & Engineering Syllabi

No abstract provided.

Cs 790-01: Multimedia Coding And Communication (I), Yong Pei

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 220-01: Introduction To C Programming For Engineers, Robert Helt

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. 4 credit hours. Prerequisite: MTH 229 (Calculus I) or EGR 101 (Engineering Mathematics).

Cs 141-01: Computer Programming - I, Michael Ondrasek

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 415-01: 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 466/666-01: 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 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 with 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.

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.

Ceg 210: Pc Networking I, Karen Meyer

Computer Science & Engineering Syllabi

Introduction to PC networking hardware, concepts, and technologies. Focus is on LAN Administration.

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 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 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.

Ceg 260: Digital Computer Hardware Switching Circuits, Eric Matson

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.

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 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 214: Visual Basic.Net, Roddy Keish

Computer Science & Engineering Syllabi

No abstract provided.

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

Computer Science & Engineering Syllabi

No abstract provided.

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/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer

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/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.

Cs 207: Advanced Office Productivity Ii, Louis A. Benavides

Computer Science & Engineering Syllabi

This course covers post-advanced microcomputer applications including Microsoft Office Word 2003, Microsoft Office Excel 2003, Microsoft Office Access 2003, and Microsoft Office PowerPoint 2003. Topics include: creating an online form; working with macros and Visual Basic for Applications (VBA); working ·with a master document, an index and a table of contents; linking an Excel worksheet and charting its data in Word; formula auditing, data validation, and complex problem solving in Excel; importing data into Excel; working with PivotCharts, PivotTables, and trendlines in Excel; creating a PivotTable List; advanced Access report and form techniques, and creating multi-page forms; administering a database …

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 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