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Articles 11281 - 11310 of 12809
Full-Text Articles in Physical Sciences and Mathematics
Cs 241-01: Computer Science Ii, L. Jane Lin
Cs 241-01: 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. For All CS 241 students, concurrent registration into CS 241 lab is a must.
Cs 340: Programming Language Workshop In Java, Krishnaprasad Thirunarayan
Cs 340: Programming Language Workshop In Java, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course is designed as a self-study in Java. You are expected to learn the Java language and solve a set of programming problems assigned to you using it. (You may develop your code using any IDE you like, but you must ensure that it eventually runs using JDK 5). 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 discussions about the programming problems.
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.
Cs 470/670: System Simulation, Mateen M. Rizki
Cs 470/670: System Simulation, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
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 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 the 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 776: Functional Programming, Krishnaprasad Thirunarayan
Cs 776: Functional Programming, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will discuss important concepts of functional programming such as recursive definitions, higher-order functions, type inference, polymorphism, abstract data types, modules etc. The programming exercises will illustrate the utility of list-processing, pattern matching, abstraction of data/control, strong typing, and parameterized modules (functors). We also study the mathematical reasoning involved in the design of functional programs and techniques for proving properties about functions so defined. The programming assignments will be coded in SML '97 (Standard ML of New Jersey). and Haskell.
Cs 840: Advanced Topics In The Theory Of Computation, Thomas Sudkamp
Cs 840: Advanced Topics In The Theory Of Computation, Thomas Sudkamp
Computer Science & Engineering Syllabi
No abstract provided.
Cs/Mth 316/516: Numerical Methods For Digital Computers - I, Ronald F. Taylor
Cs/Mth 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 to engineering, science, and applied mathematics are an integral part of the course. Special topics presented as schedule permits. 4 credit hours.
Cs 801: Advanced Database Systems, Soon M. Chung
Cs 801: Advanced Database Systems, Soon M. Chung
Computer Science & Engineering Syllabi
Introduction of current trends and research issues in database systems.
Cs/Bio 271: Introduction To Bioinformatics, Dan E. Krane, Michael L. Raymer
Cs/Bio 271: Introduction To Bioinformatics, Dan E. Krane, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 205-01, 02, 03: Computer Literacy And Office Automation, Ann Tirpack
Cs 205-01, 02, 03: 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
Ceg 211-01: Pc Networking Ii, Karen Meyer
Ceg 211-01: Pc Networking Ii, Karen Meyer
Computer Science & Engineering Syllabi
Focuses on server installation, administration, multiple protocol integration, systems maintenance, and troubleshooting. Includes hands-on class and laboratory assignments.
Ceg 402/602-01: Introduction To Computer Communication, Bin Wang
Ceg 402/602-01: Introduction To Computer Communication, Bin Wang
Computer Science & Engineering Syllabi
This course provides an introduction to basic concepts of communication
networks, different types of networks, protocols over different layers, and network
applications through lectures, labs, homework, and reading on relevant materials. You will
•Understand networking principles, protocols, and technologies.
•Understand some design and performance issues involved in providing a network service.
•Acquire background for supporting e-commerce, e-government, and e-education.
•Gain hands-on experience with programming techniques for network protocols.
•Obtain background for original research in computer networks.
Ceg 320/520-01: Computer Organization And Assembly Language Programming, Travis E. Doom
Ceg 320/520-01: Computer Organization And Assembly Language Programming, Travis E. Doom
Computer Science & Engineering Syllabi
Terminology and understanding of functional organizations and sequential operatio of a digital computer. Program structure, and machine and assembly language topics including addressing, stacks, argument pasing, arithmetic operations, traps, and input/output. Macros, modularization, linkers, and debuggers are used. Three hours lecture, two hours lab. Prerequisite: CS 242, CEG 260.
Ceg 433/633-01: Operating Systems, Prabhaker Mateti
Ceg 433/633-01: Operating Systems, Prabhaker Mateti
Computer Science & Engineering Syllabi
The management of resources in multi-user computer systems. Emphasis is on problems of file-system design, process scheduling, memory allocation, protection, and tools needed for solutions. Course projects use the CIC++ language and include the design of portions of an operating system. 4 credit hours.
Ceg 360/560-01: Digital System Design, Travis E. Doom
Ceg 360/560-01: Digital System Design, Travis E. Doom
Computer Science & Engineering Syllabi
Design of digital systems. Topics include flip-flops, registers, counters, programmable logic devices, memory devices, register-level design, and microcomputer system organization. Students must show competency in the design of digital systems. 3 hours lecture, 2 hours lab. Prerequisite: CEG260.
Ceg 460/660-01: Introduction To Software Computer Engineering, Thomas C. Hartrum
Ceg 460/660-01: Introduction To Software Computer Engineering, Thomas C. Hartrum
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 702-01: Advanced Communication Networks, Bin Wang
Ceg 702-01: Advanced Communication Networks, Bin Wang
Computer Science & Engineering Syllabi
This is a graduate level course on advanced computer communication and networking technologies. The course involves both a reading/lecture/discussion component and a project component. We will read papers on various aspects of advanced computer networking: LAN/WAN technologies, congestion/flow control, self-similar traffic analysis, queuing theory, link scheduling, routing, internetworking, multicast, wireless technologies, quality of services, and peer-to-peer networks. Various technical and research issues involved will be studied in depth.
Ceg 751-01: Microprocessors Ii, Jack Jean
Ceg 751-01: Microprocessors Ii, Jack Jean
Computer Science & Engineering Syllabi
The classes will meet at RC 339 for project discussion and implementations. Lectures are given only initially to clarify project requirements and to provide background information. There is no textbook and no test.
Ceg 760-01: Advanced Software Computer Engineering, Thomas C. Hartrum
Ceg 760-01: Advanced Software Computer Engineering, Thomas C. Hartrum
Computer Science & Engineering Syllabi
This course covers advanced topics in software engineering. Aspects of problem specification, design, verification, and evaluation are discussed. We will focus on design methods, including software patterns and software architecture, plus some advanced topics involving formal methods of software specification or evaluation using software metrics. Students will participate in team projects to apply the methods discussed.
Ceg 777-01: Computer Aided Geometric Design, Arthur A. Goshtasby
Ceg 777-01: Computer Aided Geometric Design, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
To cover the fundamentals of geometric modeling, including design of curves and surfaces, composite curves and surfaces, and subdivision techniques for creation of free-form shapes.
Ceg 720-01: Computer Architecture I, Soon M. Chung
Ceg 720-01: Computer Architecture I, Soon M. Chung
Computer Science & Engineering Syllabi
Review of sequential computer architecture and study of parallel computers. Topics include memory hierarchy, reduced instruction set computer, pipeline processing, multiprocessing, various parallel computers, interconnection networks, and fault-tolerant computing. 3 hours lecture and 2 hours lab.
Ceg 790-01: Introduction To Scientific Visualization, Thomas Wischgoll
Ceg 790-01: Introduction To Scientific Visualization, Thomas Wischgoll
Computer Science & Engineering Syllabi
By the end of this quarter, you will be familiar with fundamental techniques used for visualizing scientific data sets. You will be introduced to a visualization toolkit (vtk) and methods suitable for medical data sets, vector data sets, and more general data sets.
Cs 242-02: Computer Science Iii, Eric Maston
Cs 242-02: Computer Science Iii, Eric Maston
Computer Science & Engineering Syllabi
This is the third and final course in the Introduction to Computer Science series. This course focuses on data structures with abstract data types, such as trees, stacks, queues and tables.
Cs 242-01: Computer Science Iii, Mateen M. Rizki
Cs 242-01: Computer Science Iii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 241-02: Computer Science Ii, Eric Maston
Cs 241-02: Computer Science Ii, Eric Maston
Computer Science & Engineering Syllabi
This course is the second in the Introduction to Computer Science (24X) series. It focuses on object oriented concepts and an introduction to data structures.
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 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 141: Computer Programming - I, Michael Ondrasek
Cs 141: 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 790: Evolutionary Computation In Bioinformatics, Michael L. Raymer
Cs 790: Evolutionary Computation In Bioinformatics, Michael L. Raymer
Computer Science & Engineering Syllabi
This course will provide a guided investigation into advanced computational techniques in bioinformatics, especially techniques involving evolutionary computation. The first few weeks will consists of guided in-class discussions reviewing the basic principles of bioinformatics and evolutionary computation. During weeks 3 -6 students will present tutorials on advanced computational topics (see the list of suggested topic areas below). During weeks 7 -10, the students will present papers from the literature in which topics covered in the tutorials have been applied to specific problems in bioinformatics. The class will discuss the quality and findings of these papers.