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Articles 31 - 60 of 238
Full-Text Articles in Engineering
Cs 205: Computer Literacy And Office Automation, Ann Tirpack
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Cs 480/680: Comparative Programming Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 784: Programming Languages, Krishnaprasad Thirunarayan
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
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.
The Igipi Ontological Framework: Integrating Gene Interactions With Protein Interactions, Bill Andreopoulos, Aijun An, Xiangji Huang
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
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
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
Cs 214: Visual Basic.Net, Roddy Keish
Computer Science & Engineering Syllabi
No abstract provided.
Cs 207: Advanced Office Productivity Ii, Louis A. Benavides
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 241: Computer Science Ii, L. Jane Lin
Cs 241: Computer Science Ii, L. Jane Lin
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 241: Introduction To Computer Science Ii, Praveen Kakumanu
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/Bio 471/671: Algorithms For Bioinformatics, Michael L. Raymer
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.
Ceg 790: Emerging Networks, Bin Wang
Ceg 790: Emerging Networks, Bin Wang
Computer Science & Engineering Syllabi
This is a graduate level course on emerging networking technologies. The course involves a reading/lecture/presentation/discussion component, paper review component, and a project component. It will provide an in-depth study on a number of focused areas: dense wavelength division multiplexing (DWDM) optical networks, optical burst switching networks, peer-to-peer networks, and wireless mobile networks (including Ad-hoc wireless networks, sensor networks). Various technical and research issues involved will be studied. These areas of emerging networking technologies will play central roles in future communication networks.
Ceg 476/676 Computer Graphics, Arthur A. Goshtasby
Ceg 476/676 Computer Graphics, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
The objective of this course are to learn the fundamentals of2-D and 3-D object construction, to learn algorithms that transform 2-D and 3-D objects, and practice some of the concepts through implementation.