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Articles 19681 - 19710 of 25650
Full-Text Articles in Computer Engineering
Cs 740: Complexity Theory And Algorithm Analysis, Pascal Hitzler
Cs 740: Complexity Theory And Algorithm Analysis, Pascal Hitzler
Computer Science & Engineering Syllabi
What does it mean to say that some computational problem is intrinsically more difficult than some other problem? How can I claim that I have found a good algorithmic solution? The study of these questions gives rise to an area of area of Theoretical Computer Science called Complexity Theory, which is based on a systematic and thorough formal study of the complexity of problems with respect to their algorithmic solvability, using Turing machines as main conceptual tool. In this class, we will understand how problem and algorithm complexity is measured, and discuss some of the main complexity classes arising from …
Cs 142: Computer Programming Ii, Wenbo Wang
Cs 142: Computer Programming Ii, Wenbo Wang
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.
Cs 205-01,02,03: Introduction To Computers And Office Productivity Software, Ann Tirpack
Cs 205-01,02,03: Introduction To Computers And Office Productivity Software, Ann Tirpack
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including intermediate word processing, 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 social impact of technology.
Cs 241-01: Computer Programming Ii, Travis E. Doom
Cs 241-01: Computer Programming Ii, Travis E. Doom
Computer Science & Engineering Syllabi
A continuation of CS 240. The emphasis is on data abstraction and software engineering.
Cs/Mth 317/517: Applications Of Numerical Methods For Computational Science, Ronald F. Taylor
Cs/Mth 317/517: Applications Of Numerical Methods For Computational Science, 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 hour lecture.
Cs 350/550: Computational Tools And Techniques For Data Analysis, John C. Gallagher
Cs 350/550: Computational Tools And Techniques For Data Analysis, John C. Gallagher
Computer Science & Engineering Syllabi
CS 350/550 is an introduction to the representation, visualization, and modeling of large data sets using standard, high-level software tools. The course is designed to expose students to tools and methods useful to conduct analysis of large data sets often encountered in science and engineering pursuits. The goal of this course is to help students understand how they might summarize and how to make predictions based on that date. Topics include data filtering, clustering, classification, and data mining. A familiarity with spreadsheet software is assumed. Students should also be able to construct simple programs in a "C like" language (C, …
Cs 141: Computer Programming I, Vanessa Starkey
Cs 141: Computer Programming I, Vanessa Starkey
Computer Science & Engineering Syllabi
Introduction to use of computers as a problem-solving tool. Examples from and applications to a broad range of problems. Methodology for algorithm design and for structured modular implementation is stressed. Three hours lecture, two hours lab.
Cs 241: Computer Programming - Ii, Michael Ondrasek
Cs 241: 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 242: Computer Programming Iii, Mateen M. Rizki
Cs 242: Computer Programming Iii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 400/600-01,02: Date Structures And Algorithms, Sarah Gothard
Cs 400/600-01,02: Date Structures And Algorithms, Sarah Gothard
Computer Science & Engineering Syllabi
Study of the implementation of date structures and control structures in professional computer programs. Introduction to the fundamentals of complexity and analysis. Study of common standard problems (e.g., transitive closure and critical path). Emphasis on high-level language software design.
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 in strings/sentences: the syntax of languages can be defined using grammars and the patterns can be 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 mechanisms and pattern recognition devices. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science, by Thomas Sudkamp.
Cs 790: Optimizing Compliers For Modern Architectures, Meilin Liu
Cs 790: Optimizing Compliers For Modern Architectures, Meilin Liu
Computer Science & Engineering Syllabi
This course studies compiler optimization for modern architectures. Between parsing the input program and generating the target machine code, optimizing compilers perform a wide range of program transformations on a program to improve its performance. In this course we focus on data dependence analysis, program transformations and loop transformations, loop scheduling, and a combination of these optimizing techniques.
Cs 205: Introduction To Computers And Office Productivity Software, Amanda Hood
Cs 205: Introduction To Computers And Office Productivity Software, Amanda Hood
Computer Science & Engineering Syllabi
Focus on learning MS Office 2010 software applications including word processing (intermediate), spreadsheets, databases, 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 social impact of technology.
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 242: Computer Programming Iii, Thomas Wischgoll
Cs 242: Computer Programming Iii, Thomas Wischgoll
Computer Science & Engineering Syllabi
No abstract provided.
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 207: Advanced Office Productivity Ii, Amanda Hood
Cs 207: Advanced Office Productivity Ii, Amanda Hood
Computer Science & Engineering Syllabi
This course covers post-advanced microcomputer applications including Microsoft Office Word 2007, Excel 2007, Access 2007, and PowerPoint 2007. Topics include: creating an online form, working with macros and Visual Basic for Applications (VBA), working with a master document, and 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 a multi-page form, administering a database system, creating a self-running presentation …
Cs 240: Computer Programming - I, Keke Chen
Cs 240: Computer Programming - I, Keke Chen
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on problem solving and object oriented programming. This course provides a general introduction to the fundamentals of computer science and 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.
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 405/605-02: Introduction To Database Management Systems, Keke Chen
Cs 405/605-02: Introduction To Database Management Systems, Keke Chen
Computer Science & Engineering Syllabi
This course will cover the following topics: (1) Logical and physical aspects of database management systems (2) Data models including entity-relationship (ER) and relational models (#) Physical implementation (data organization and indexing) methods. (3) Query languages including SQL and relational algebra. (4) High level concepts: transactions, relation normalization, and security and privacy. 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.
Ceg 355-01: Introduction To The Design Of Information Technology Systems, Thomas C. Hartrum
Ceg 355-01: Introduction To The Design Of Information Technology Systems, Thomas C. Hartrum
Computer Science & Engineering Syllabi
Introduction to the design of information systems comprising modern technologies such as SQL database programming, networks, and distributed computing with CORBA, electronic and hypertext (HTML) documents, and multimedia.
Ceg 403/603-01: Personal Area Networks, Yong Pei
Ceg 403/603-01: Personal Area Networks, Yong Pei
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 777-01: Computer Aided Geometric Design, Arthur A. Goshtasby
Ceg 777-01: Computer Aided Geometric Design, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course covers the fundamentals of geometric modeling, including design of curves and surfaces, composite curves and surfaces, and subdivision techniques for creating of free-form shapes. Materials covered in the course will be useful in game design and also in visualization of exploratory data.
Ceg 211-90: Pc Networking Ii, Karen Meyer
Ceg 211-90: Pc Networking Ii, Karen Meyer
Computer Science & Engineering Syllabi
Focuses on server installation, administration, multiple protocol integration, systems maintenance, and trouble-shooting. Includes hands-on class and laboratory assignments
Ceg 260-01: Digital Circuits, Jack Jean
Ceg 260-01: Digital Circuits, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 360-01: Digital System Design, Travis E. Doom
Ceg 360-01: 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 416-01: Matrix Computations, Ronald F. Taylor
Ceg 416-01: 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 modern 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. A familiarity with MATLAB is useful, and the ability to program in languages such as C/C++ of Fortran is very important. A basic knowledge of matrix algebra is …
Ceg 433/633-01,02: Operating Systems, Sarah Gothard
Ceg 433/633-01,02: Operating Systems, Sarah Gothard
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.
Ceg 498-01: Design Experience, Thomas C. Hartrum
Ceg 498-01: Design Experience, Thomas C. Hartrum
Computer Science & Engineering Syllabi
CEG 498 (Team Projects I and II) is a summative computer engineering design project course that builds upon previous engineering, science, mathematics and communications course work. CEG 498 projects are a minimum of two quarters in length and must be completed in groups of at least three students. Projects are selected under the guidance of the course instructor and are tailored to both student interest and formal classroom preparation. Students are evaluated both on their individual contributions as recorded in graded engineering journals and on the quality of their collective efforts as reflected in group generated products.
Ceg 751-01: Microprocessors Ii, Jack Jean
Ceg 751-01: Microprocessors Ii, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.