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Full-Text Articles in Engineering
Cs 142-01: Computer Programming - Ii, Michael Ondrasek
Cs 142-01: Computer Programming - Ii, Michael Ondrasek
Computer Science & Engineering Syllabi
The concepts introduced in CS 141 are developed in greater detail and depth with the Java programming language. Topics include object oriented programming, graphics, development of user interfaces and handling runtime errors with an emphasis on program verification and testing. Students must register for both lecture and one laboratory section. 4 credit hours. Prerequisite: CS 141 (Computer Programming I) and MTH 127 (College Algebra) or equivalent.
Cs 209-01: Computer Programming For Business Ii, Dennis Kellermeier
Cs 209-01: 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 205-08: Introduction To Computers And Office Productivity Software, Kim Gros
Cs 205-08: 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 141-01: Computer Programming I, Michael Ondrasek
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 790-02: Advanced Data Mining, Guozhu Dong
Cs 790-02: Advanced Data Mining, Guozhu Dong
Computer Science & Engineering Syllabi
This course covers advanced topics in data mining. The topics can be roughly classified along the following dimensions: pattern/model types, mining/analysis techniques, and data types. The course will examine sequence mining, text mining, graph mining, data cube mining, microarray gene expression mining, stream mining, time series mining, web mining, bioinformatics, privacy issues, etc.
Cs 790-03: Services Science, Yong Pei
Cs 790-03: Services Science, Yong Pei
Computer Science & Engineering Syllabi
Service Science, Management, and Engineering (SSME), often referred to
as Services Science, is emerging as a distinct field of study. It
encompasses numerous areas relating to the increasing role of services
in the world economy. In this course we will focus primarily on
services computing, or the technical aspects of services science, and
secondarily on the allied economic, business, and organizational aspects
Cs 714-01: Machine Learning, Shaojun Wang
Cs 714-01: Machine Learning, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer
Cs 480/680-01: Comparative Programming Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 317-01: Numerical Methods Ii, Ronald F. Taylor
Cs 317-01: Numerical Methods Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
Continuation of CS/MTH/3161516. Introduction to numerical methods used in the sciences. Methods for solving matrix eigenvalue problems, initial value and boundary value problem for ordinary differential equations (ODEs). Study of standard types of partial differential equations (PDEs) with applications. Solution techniques for systems of nonlinear equations. Discussion of sources of error in numerical methods. Special topics and applications presented as schedule permits. Four credit hours.
Cs 701-01: Database Systems And Design, Soon M. Chung
Cs 701-01: Database Systems And Design, Soon M. Chung
Computer Science & Engineering Syllabi
Introduction of DB design concepts and operating principles of database systems.
Ceg 320/520-01: Computer Organization, Michael L. Raymer
Ceg 320/520-01: Computer Organization, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 765-01: Foundations Of Neurocomputation, John C. Gallagher
Cs 765-01: Foundations Of Neurocomputation, John C. Gallagher
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.