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Articles 20461 - 20490 of 25647
Full-Text Articles in Computer Engineering
Cs 499/699: Logic For Computer Scientists, Pascal Hitzler
Cs 499/699: 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.
Cs 740: Algorithms, Complexity And The Theory Of Computability, Pascal Hitzler
Cs 740: Algorithms, Complexity And The Theory Of Computability, 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 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 algorithmic complexity is measured, and discuss some of the main complexity classes arising from this study. …
Cs 400/600: Data Structures And Software Design, Guozhu Dong
Cs 400/600: Data Structures And Software Design, Guozhu Dong
Computer Science & Engineering Syllabi
No abstract provided.
Cs 142: Computer Programming - Ii, Michael Ondrasek
Cs 142: 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 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 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 242: Computer Programming Iii, Thomas Wischgoll
Cs 242: Computer Programming Iii, Thomas Wischgoll
Computer Science & Engineering Syllabi
No abstract provided.
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 tow 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 Sciences, by Thomas Sudkamp.
Cs 242: Computer Programming Iii, Mateen M. Rizki
Cs 242: Computer Programming Iii, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
Cs 784: Programming Languages, Prabhaker Mateti
Cs 784: Programming Languages, Prabhaker Mateti
Computer Science & Engineering Syllabi
Programming paradigms and concepts for high level programming languages. Techniques for formal specification. 4.000 Credit hours. Prerequisites: CS 480/680.
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 241-01: Computer Programming Ii, Travis E. Doom
Cs 241-01: Computer Programming Ii, Travis E. Doom
Computer Science & Engineering Syllabi
A continuation of CS240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.
Cs 271/Bio 371: Introduction To Bioinformatics, Michael L. Raymer, Dan E. Krane
Cs 271/Bio 371: Introduction To Bioinformatics, Michael L. Raymer, Dan E. Krane
Computer Science & Engineering Syllabi
The course web page will be the primary method for distributing important announcements, course material, class notes, etc. Please check the page often. Login to the campus WebCT system using your cats username and password. The URL is: http://wisdom.wright.edu
Cs 774: Logic Programming, Krishnaprasad Thirunarayan
Cs 774: Logic Programming, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course deals with logic programming paradigm and Prolog. We discuss the syntax and the semantics of Prolog, the working of a Prolog interpreter and various applications of Prolog. In particular, we consider the use of Prolog of database querying, parsing, meta-programming, and problem solving in AI. The programming assignments can be coded in SWI_Prolog or XSB.
Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan
Cs 340: Programming Language Workshop In Python, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course is designed as a self-study in Python. You are expected to learn the language and solve a set of programming problems assigned to you from Budd's text using Python available from http://www.python.org. 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 208-01: Computer Programming For Business I, David M. Hutchison
Cs 208-01: Computer Programming For Business I, David M. Hutchison
Computer Science & Engineering Syllabi
CS 208 is the first in a sequence of two programming classes required for MIS majors. This course will introduce students to the basic concepts of programming. Examples are from business applications and display graphics and emphasis is on problem solving with the computer as a tool.
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 material in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.
Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Ronald F. Taylor
Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Ronald F. Taylor
Computer Science & Engineering Syllabi
Introduction to numerical methods used in the sciences and engineering. Included will be methods for interpolation, data smoothing, integration, differentiation, and solution of systems of linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications to science, engineering and applied mathematics are an integral part of the course. Special topics presented as schedule permits. Four hours lecture.
Cs 205-04, 05, 06: Introduction To Computers And Office Productivity Software, Terri Bauer
Cs 205-04, 05, 06: Introduction To Computers And Office Productivity Software, Terri Bauer
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 societal impact of technology.
Cs 214: Visual Basic Programming, Michael Ondrasek
Cs 214: Visual Basic Programming, Michael Ondrasek
Computer Science & Engineering Syllabi
This course provides a general introduction to the fundamentals of object computer programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. However, students should have a familiarity with programming concepts. The concepts covered will be applied in the Visual Basic programming languages. 4 credit hours.
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
This course will cover the fundamentals of graphical probability models, focusing on the key representations, algorithms and theories that have facilitated much recent progress in artificial intelligence research.
Ceg 726-01: Pattern Recognition, Arthur A. Goshtasby
Ceg 726-01: Pattern Recognition, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course will discuss fundamentals of Pattern Recognition, including supervised learning and clustering.
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 220-01: Introduction To C Programming For Engineers, Jay Dejongh
Ceg 220-01: Introduction To C Programming For Engineers, Jay Dejongh
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. 4 credit hours. Prerequisite: MTH 229 (Calculus I) or EGR 101 (Engineering Mathematics). The course includes a scheduled laboratory section for which you must register.
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.
Ceg 402/602-01: Introduction To Computer Communication, Bin Wang
Ceg 402/602-01: Introduction To Computer Communication, Bin Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 433-01: Operating Systems, Sarah Gothard
Ceg 433-01: 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 461/661-01: Object-Oriented Programming And Design, Thomas C. Hartrum
Ceg 461/661-01: 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, polymorphism, and dynamic binding. Additional topics include class organization, software maintenance, and design of reusable components. There is a project to be implemented in a modem object-oriented language such as Java or C++.
Ceg 260-01: Digital Computing Hardware/Switching Circuits, Meilin Liu
Ceg 260-01: Digital Computing 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 730-01: Distributed Computing Principles, Soon M. Chung
Ceg 730-01: Distributed Computing Principles, Soon M. Chung
Computer Science & Engineering Syllabi
No abstract provided.