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Articles 31 - 60 of 167
Full-Text Articles in Computer Engineering
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 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 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 205: Computer Literacy And Office Automation, Ann Tirpack
Cs 205: Computer Literacy And Office Automation, Ann Tirpack
Computer Science & Engineering Syllabi
No abstract provided.
Cs 214: Visual Basic Programming, Vanessa Starkey
Cs 214: Visual Basic Programming, Vanessa Starkey
Computer Science & Engineering Syllabi
This course will cover the fundamentals of object-oriented computer programming including design, structure, debugging, and testing. Visual Basic 2008 will be used for developing programs.
Cs 241: Introduction To Computer Science Ii, Ronald F. Taylor
Cs 241: Introduction To Computer Science Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
A continuation of CS 240. Emphasis is on solving more complex problems using object oriented programming. Prerequisite: CS 240. 4 credit hours.
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 242: Computer Programming Iii, Tom S. Wailes
Cs 242: Computer Programming Iii, Tom S. Wailes
Computer Science & Engineering Syllabi
No abstract provided.
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 875: Semantic Web, Amit P. Sheth
Cs 875: Semantic Web, Amit P. Sheth
Computer Science & Engineering Syllabi
World Wide Web (Web 1.0, or "the Web," as we now know it) centers on documents and semistructured data in html, rss, and xml. The next generation Web, also called Web 2.0 and Web 3.0, has already started to emerge. Web 2.0 is about user-generated content, user participation such as through tagging, and social networking. Web 3.0, also called Semantic Web, is about labeling content such that machines can process it more intelligently and humans can exploit it more effectively. These labels or metadata add semantics (meaning) to data, and their formal representation enables powerful reasoning that leads not only …
Ceg 770: Computer Engineering Mathematics, Yong Pei
Ceg 770: Computer Engineering Mathematics, Yong Pei
Computer Science & Engineering Syllabi
Computer Engineering and Science students need proficiency in relevant applied mathematics to be able to discover and model difficult real-world computer engineering and science problems. The relationship of these problems to mathematical theory will be discussed. This course provides an introduction to linear and nonlinear programming, probability and stochastic process, and queueing theory. In addition to mathematical theory, appropriate applications will be presented.
Ceg 399: Introduction To Software Testing, John A. Reisner
Ceg 399: Introduction To Software Testing, John A. Reisner
Computer Science & Engineering Syllabi
This course covers software testing strategies, along with established best practices, so students learn how to test their software in a complete and systematic (vice ad-hoc) manner. Particular attention is paid to planning, writing, and executing software testing documentation, i.e., software test plan, to include documented results. Various projects are assigned, designed to illustrate various challenges associated with software testing, and to reinforce the strategies and techniques used to overcome these challenges
Cs 712: Advanced Topics In Artificial Intelligence: Inference Graphical Models, Shaojun Wang
Cs 712: Advanced Topics In Artificial Intelligence: Inference Graphical Models, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
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 and useful knowledge from large amounts of data. This course introduces and studies the fundamental 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 209: Computer Programming For Business Ii, David M. Hutchison
Cs 209: Computer Programming For Business Ii, David M. Hutchison
Computer Science & Engineering Syllabi
CS 209 is the second in a sequence of two programming classes required for
MIS majors. This course will continue teaching students to the basic concepts
of programming. Examples are from business applications and emphasis is on
problem solving with the computer as a tool.
Cs 409/609: Principles Of Artificial Intelligence, Shaojun Wang
Cs 409/609: Principles Of Artificial Intelligence, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 784: Programming Languages, Krishnaprasad Thirunarayan
Cs 784: Programming Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
To provide a solid foundation for studying advanced topics in Programming Language Specification and Design.
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 480/680: Comparative Programming Languages, Michael L. Raymer
Cs 480/680: Comparative Programming Languages, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
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.
Cs 241: Computer Programming Ii, Eric Maston
Cs 241: Computer Programming Ii, Eric Maston
Computer Science & Engineering Syllabi
This is the second course in the Introduction to Computer Programming series. A continuation of CS240. The emphasis is on data abstraction and software development. Prerequisite: CS240.
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 will be coded in Java 5 and in Scheme.
Cs 242: Computer Programming Iii, Guozhu Dong
Cs 242: Computer Programming Iii, Guozhu Dong
Computer Science & Engineering Syllabi
No abstract provided.
Cs 205-02: Introduction To Computers And Office Productivity Software, John P. Herzog
Cs 205-02: 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 240: Computer Programming I, Travis E. Doom
Cs 240: Computer Programming 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.
Ceg 720-01: Computer Architecture, Jack Jean
Ceg 720-01: Computer Architecture, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
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: CEG 260.
Ceg 433/633-01: Operating Systems, Yong Pei
Ceg 433/633-01: Operating Systems, Yong Pei
Computer Science & Engineering Syllabi
This course provides an introduction to operating system design. Topics to be covered include: Operating system structures, Operating system interfaces, Process management and scheduling, Inter-process communication, File systems and Memory management and Device access.
Ceg 233-01: Linux And Windows, Bin Wang
Ceg 233-01: Linux And Windows, Bin Wang
Computer Science & Engineering Syllabi
Introduction to Linux and Windows systems. GUI and Windowing Systems. Files and Directories. Ownership and Sharing. Programs and Processes. System calls, Libraries. Loading. Dynamic linking. Command Line Shells. Scripting languages. Regular expressions. Clients and Servers. Web browser clients and HTTPS. System Administration. 4 credit hours. 3 hours labs, 2 hours labs. Prerequisites: None.