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Articles 1561 - 1590 of 1947
Full-Text Articles in Computer Sciences
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.
Cs 208-01: Computer Programming For Business I, Dennis Kellermeier
Cs 208-01: 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 241-01: Computer Programming - Ii, Michael Ondrasek
Cs 241-01: Computer Programming - Ii, Michael Ondrasek
Computer Science & Engineering Syllabi
The CS 241 course is a continuation of CS 240. The emphasis in CS 241 is on solving more complex problems using object oriented programming. Prerequisite: CS240. Students must register for both lecture and one laboratory section. 4 credit hours.
Cs 790-02: Advanced Data Mining, Guozhu Dong
Cs 790-02: Advanced Data Mining, Guozhu Dong
Computer Science & Engineering Syllabi
This advanced data mining course covers concepts and techniques in data mining.
Cs 340-01: Programming Language Workshop In C#, Krishnaprasad Thirunarayan
Cs 340-01: 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 405/605-01: Introduction To Database Management Systems, Guozhu Dong
Cs 405/605-01: Introduction To Database Management Systems, Guozhu Dong
Computer Science & Engineering Syllabi
Logical and physical aspects of database management systems are surveyed. Data models including entity-relationship (ER) and relational models are presented. Physical implementation (data organization and indexing) methods are discussed. Query languages including SQL, relational algebra, relational calculus, and QBE are studied. Students will gain experience in creating and manipulating a database, and gain knowledge on professional and ethical responsibility and on the importance of privacy/security of data.
Cs 790-01: Privacy-Aware Computing, Keke Chen
Cs 790-01: Privacy-Aware Computing, Keke Chen
Computer Science & Engineering Syllabi
In this course, we will discuss a set of research papers on various topics of privacy-aware computing: data perturbation, data anonymization, randomized responses, privacy preserving data mining, privacy preserving multivariate statistical analysis, private information retrieval, and secure data outsourcing, etc. Students are expected to read some papers and submit paper summaries. Participation in the class discussion is encouraged. Students will need to finish a course project and give a project presentation. Each project team can have 1~2 people. (4 Hours Lecture).
Cs 317-01: Applications Of Numerical Methods, Ronald F. Taylor
Cs 317-01: Applications Of Numerical Methods, Ronald F. Taylor
Computer Science & Engineering Syllabi
Applications of computing for solving scientific and engineering problems. Numerical solution of initial value and boundary value problems for ordinary and partial differential equations are covered. Applications involving numerical optimization methods are included. Special topics presented as schedule permits. Four quarter credit hours: lecture.
Ceg 404/604: Wireless Sensor Networks, Bin Wang
Ceg 404/604: Wireless Sensor Networks, Bin Wang
Computer Science & Engineering Syllabi
In this course we will provide an introduction lo Wireless Sensor Networks (WSN) and cover latest topics in WSNs. The goal of this course is lo give an overview of fundamental problems in the area of WSNs.
Cs 790-01: Knowledge Representation For The Semantic Web, Pascal Hitzler
Cs 790-01: Knowledge Representation For The Semantic Web, Pascal Hitzler
Computer Science & Engineering Syllabi
Semantic Web is a maturing field of technology that continues to be the emphasis of much focused re-search and industrial investigation. The central idea behind Semantic Web is to enhance data on the World Wide Web by so-called metadata, which describes the meaning (semantics) of the data and thus makes it available for processing in intelligent systems. In this course we cover in depth the standardized knowledge representation languages for expressing metadata, called ontology languages. We will in particular cover the Resource Description Framework RDF and the Web Ontology Language OWL, both of which are recommended standards by the World …
Ceg 461/661: Object-Oriented Programming And Design, Thomas C. Hartrum
Ceg 461/661: Object-Oriented Programming And Design, Thomas C. Hartrum
Computer Science & Engineering Syllabi
Study of object-oriented design and programming. Programming topics emphasize the core concepts of encapsulation, inheritance, poly morphism, and dynamic binding. Additional topics include class organization, software maintenance, and design of reusable components. There is a project to be implemented in the object-oriented language Java.
Ceg 433/633: Operating Systems, Michael Linger
Ceg 433/633: Operating Systems, Michael Linger
Computer Science & Engineering Syllabi
Overview of operating systems internals. File system usage and design, process usage and control, virtual memory, multi user systems, access control. Course projects use C++ language. Three hours lecture, two hours lab.
Ceg 460/660: Introduction To Software Computer Engineering, Thomas C. Hartrum
Ceg 460/660: 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 468/668: Managing The Software Development Process, John A. Reisner
Ceg 468/668: Managing The Software Development Process, John A. Reisner
Computer Science & Engineering Syllabi
This course covers the challenges and issues associated with software project management. Emphasis will occur on two fronts: (1) the software project manager’s view (i.e., “What considerations and obstacles confront project managers during software development?”), and (2) the organizational view (i.e., “How can organizations can foster a climate where software project management is performed effectively throughout an organization?).
Ceg 730: Distributed Computing Principles, Prabhaker Mateti
Ceg 730: Distributed Computing Principles, Prabhaker Mateti
Computer Science & Engineering Syllabi
This course is about the foundations and principles involved in distributed systems with an introduction to recent systems and languages.
Ceg/Mth 416/616 Matrix Computations, Ronald F. Taylor
Ceg/Mth 416/616 Matrix Computations, Ronald F. Taylor
Computer Science & Engineering Syllabi
This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modem software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to applications areas such as structural analysis, heat transfer, neural networks, mechanical vibrations, and image processing in biomedical engineering.
Ceg 233: Linux And Windows, Prabhaker Mateti
Ceg 233: Linux And Windows, Prabhaker Mateti
Computer Science & Engineering Syllabi
This is a freshman-level 4 credit hour course conducted in a 10-week term. Its goal is to develop in the minds of students an effective operational model of computer systems running either Linux or Windows. This course is lab-oriented.
Ceg 402/602: Computer Networks, Bin Wang
Ceg 402/602: Computer Networks, 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.
Ceg477/677: Computer Graphics Ii, Thomas Wischgoll
Ceg477/677: Computer Graphics Ii, Thomas Wischgoll
Computer Science & Engineering Syllabi
By the end of this quarter, you will be familiar with techniques for generation 3-D scenes and interacting with the generated scenes. You will be introduced to surface rendering techniques, visibility algorithms, illumination models, and geometric modelling.
Cs 214-01: Visual Basic Programming, Eric Saunders
Cs 214-01: Visual Basic Programming, Eric Saunders
Computer Science & Engineering Syllabi
This course will cover the fundamentals of object-oriented computer programming; with an emphasis on design, structure, debugging, and testing. Visual Basic 2010 will be used for developing programs.
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.
Cs 790-01: Information Security, Meilin Liu
Cs 790-01: Information Security, Meilin Liu
Computer Science & Engineering Syllabi
This course gives a comprehensive study of security vulnerabilities in information systems and the basic techniques for developing secure applications and practicing safe computing. Topics include: Conventional encryption; Data Encryption Standard; Advanced Encryption Standard; Hashing functions and data integrity; Basic Number Theory; Public-key encryption (RSA); Digital signature; Security standards and applications; Access Control; Management and analysis of security. After taking this course, students will have the knowledge of several well-known security standards and their applications; and the students should be able to increase system security and develop secure applications.
Cs 142-01: Computer Programming Ii, John P. Herzog
Cs 142-01: Computer Programming Ii, John P. Herzog
Computer Science & Engineering Syllabi
Concepts introduced in CS 141 are developed in greater detail and depth. Emphasis on verification and testing of programs. Three hours of lecture, two hours lab.
Ceg 434/634: Concurrent Software Design, Soon M. Chung
Ceg 434/634: Concurrent Software Design, Soon M. Chung
Computer Science & Engineering Syllabi
Classical problems of synchronization and concurrency and their solutions are examined through course projects and through readings on operating system design.
Ceg 720: Computer Architecture I, Soon M. Chung
Ceg 720: 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, and interconnection networks.
Ceg 320/520: Computer Organization, Michael L. Raymer
Ceg 320/520: Computer Organization, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 206-01: Computer Software Productivity Tools, John P. Herzog
Cs 206-01: Computer Software Productivity Tools, John P. Herzog
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including advanced topics in 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 advanced 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 499/699-01: Logic For Computer Scientists, Pascal Hitzler
Cs 499/699-01: Logic For Computer Scientists, Pascal Hitzler
Computer Science & Engineering Syllabi
Logic is often called the Calculus of Computer Science. Indeed, logic permeates most areas of Computer Science in one way or the other, sometimes more prominently, and sometimes as motivational or formal underpinning. Examples are database schema, program verification, semantics of programming languages, computer security, artificial intelligence, cognitive robotics, Web information systems, computer hardware circuitry, or modeling in software engineering.
Enhance Rule Based Detection For Software Fault Prone Modules, H. Najadat, Izzat M. Alsmadi
Enhance Rule Based Detection For Software Fault Prone Modules, H. Najadat, Izzat M. Alsmadi
Computer Science Faculty Publications (Archived)
Software quality assurance is necessary to increase the level of confidence in the developed software and reduce the overall cost for developing software projects. The problem addressed in this research is the prediction of fault prone modules using data mining techniques. Predicting fault prone modules allows the software managers to allocate more testing and resources to such modules. This can also imply a good investment in better design in future systems to avoid building error prone modules. Software quality models that are based upon data mining from previous projects can identify fault-prone modules in the current similar development project, once …
Parsing Combinatory Categorial Grammar Via Planning In Answer Set Programming, Yuliya Lierler, Peter Schueller
Parsing Combinatory Categorial Grammar Via Planning In Answer Set Programming, Yuliya Lierler, Peter Schueller
Computer Science Faculty Books and Monographs
Essay, Parsing Combinatory Categorial Grammar via Planning in Answer Set Programming, from Correct reasoning: essays on logic-based AI in honour of Vladimir Lifschitz, co-authored by Yuliya Lierler, UNO faculty member. Combinatory categorial grammar (CCG) is a grammar formalism used for natural language parsing. CCG assigns structured lexical categories to words and uses a small set of combinatory rules to combine these categories to parse a sentence. In this work we propose and implement a new approach to CCG parsing that relies on a prominent knowledge representation formalism, answer set programming (ASP) - a declarative programming paradigm. We formulate the …