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Articles 31 - 60 of 171
Full-Text Articles in Computer Engineering
Cs 400/600: Computer Science, Eric Maston
Cs 400/600: Computer Science, Eric Maston
Computer Science & Engineering Syllabi
This is the initial course in the understanding of data structures. This course focuses on data structures with abstract data types, such as trees, stacks, queues and graphs. The course will use projects, developed on UNIX, to create a deeper understanding of data structure and their use.
Cs 405/605: Introduction To Database Management Systems, Soon M. Chung
Cs 405/605: Introduction To Database Management Systems, Soon M. Chung
Computer Science & Engineering Syllabi
Survey of logical and physical aspects of database management systems. Entity Relationship, relational, object-oriented models for databases are presented. Physical implementation methods are discussed.
Cs 705: Introduction To Data Mining, Guozhu Dong
Cs 705: 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, privacy, and data mining applications. 3 hours lecture, 2 hours lab.
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. Although the Turing machine provides a simple computational framework, the Church-Turing thesis asserts that any problem that can be solved in any algorithmic manner can be solved by a Turing machine.
Cs 466/666: Introduction To Formal Languages, Guozhu Dong
Cs 466/666: Introduction To Formal Languages, Guozhu Dong
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, by Thomas Sudkamp.
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 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 790: Information Theory, Machine Learning And Statistics, Shaojun Wang
Cs 790: Information Theory, Machine Learning And Statistics, Shaojun Wang
Computer Science & Engineering Syllabi
Information theory deals with encoding data in order to transmit it correctly and effectively. Statistics and machine learning deal with estimating models of data and predicting future observations. ls there any relationship between the two? It turns out, perhaps not surprisingly, that the most compact encoding of the data is by the probabilistic model that describes it best. In other words, there is a fundamental link between information and probability.
This course starts with the basic notions of information theory and explores its relationship to machine learning and statistics. The course will have a strong theoretical component, but will also …
Cs 790-01: Semantic Web-Course, Amit P. Sheth
Cs 790-01: Semantic Web-Course, Amit P. Sheth
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/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. 4 credit hours.
Cs 240: Computer Programming I, Dale E. Nelson
Cs 240: Computer Programming I, Dale E. Nelson
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.
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 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan
Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course deals with the theory and practice of compiler design. Topics emphasized are scanning and parsing. If time permits, semantic analysis will also be covered.
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, Meilin Liu
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, Meilin Liu
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.
Ceg 476/676: Computer Graphics I, Thomas Wischgoll
Ceg 476/676: Computer Graphics I, Thomas Wischgoll
Computer Science & Engineering Syllabi
By the end of this quarter, you will have learned techniques for constructing 2-D and 3-D objects as well as manipulating and rendering the objects using OpenGL.
Ceg 460/660: Introduction To Software Computer Engineering, Robert J. Weber
Ceg 460/660: 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 453/653: Embedded Systems, Jack Jean
Ceg 453/653: Embedded Systems, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 436/636 Mobile Computing, Yong Pei
Ceg 436/636 Mobile Computing, Yong Pei
Computer Science & Engineering Syllabi
Increasingly, people, computers and microelectronic devices are being linked together to bring to life the communications mantra: anybody, anything, anytime, anywhere. This junior/senior/graduate course provides an in-depth study of networking protocol and system design in the area of wireless networking and mobile computing. It will help engineering and computer science students establish a solid foundation in concepts, architecture, design, and performance evaluation of mobile computing principle, protocols and applications. It will also introduce students to a few hot topics in wireless networking and mobile computing research such as mobile IP, wireless TCP, 802.11, agent techniques, etc. The course material also …
Cs 765: Foundations Of Neurocomputation, Mateen M. Rizki
Cs 765: Foundations Of Neurocomputation, Mateen M. Rizki
Computer Science & Engineering Syllabi
This course is designed to help you develop a solid understanding of neural network algorithms and architectures. At the end of this course you should be able to read and critically evaluate most neural network papers published in major journals, (e.g. IEEE Transaction on Neural Networks, Neural Networks, and Neural Computation). In addition, you should be able to implement a broad range of network architectures and learning algorithms for a variety of applications.
Cs 241: Introduction To Computer Science Ii, Haiyun Bian
Cs 241: Introduction To Computer Science Ii, Haiyun Bian
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. Concepts introduced in CS 240 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, basic sorting algorithms, recursion, graphics, development of user interfaces and exception handling. Student must register for one lecture section and one lab section.
Cs 141: Computer Programming I, Eric Maston
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.
Cs 240: Computer Science I, Travis E. Doom
Cs 240: Computer Science I, Travis E. Doom
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.
Cs 205-01: Introduction To Computers And Office Productivity Software, Kim Gros
Cs 205-01: Introduction To Computers And Office Productivity Software, Kim Gros
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including word processing (intermediate), spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.
Cs 205-07: Introduction To Computers And Office Productivity Software, John P. Herzog
Cs 205-07: Introduction To Computers And Office Productivity Software, John P. Herzog
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including word processing (intermediate), spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.
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 205-01, 02: Introduction To Computers And Office Productivity Software, Terri Bauer
Cs 205-01, 02: Introduction To Computers And Office Productivity Software, Terri Bauer
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including word processing (intermediate), spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required.
Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.
Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan
Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will introduce fundamental concepts and paradigms underlying the design of modern programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java), and a functional language (e.g., scheme). The overall goal is to enable comparison and evaluation of existing languages. The programming assignments wi11 be coded in Java 5 and in Scheme.
Ceg 404/604-01: Wireless Sensor Networks, Bin Wang
Ceg 404/604-01: Wireless Sensor Networks, Bin Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 220-01: Introduction To C Programming For Engineers - I, Ronald F. Taylor
Ceg 220-01: Introduction To C Programming For Engineers - I, Ronald F. Taylor
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. Some programming assignments may involve complex arithmetic and trigonometric and exponential functions. 4 credit hours.