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Full-Text Articles in 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.
Ceg 361/561-01: Introduction To Software Testing, John A. Reisner
Ceg 361/561-01: Introduction To Software Testing, John A. Reisner
Computer Science & Engineering Syllabi
This course covers software testing strategies, along with established best practices, so students team how to test their software in a complete and systematic (vice ad-hoc) manner. Particular attention is paid to planning, writing, and executing software tests, along with associated documentation, (i.e., a software test plan), which includes 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.
Ceg 702-01: Advanced Communication Networks, Bin Wang
Ceg 702-01: Advanced Communication Networks, Bin Wang
Computer Science & Engineering Syllabi
This is a graduate level course on advanced computer communication and networking technologies. The course involves both a reading/lecture/discussion component and a project component. We will read papers on various aspects of advanced computer networking: LAN/WAN technologies, congestion/flow control, self-similar traffic analysis, queuing theory, link scheduling, routing, internetworking, multicast, wireless technologies, quality of services, and peer-to-peer networks. Various technical and research issues involved will be studied in depth.
Ceg 724-01: Computer Vision I, Arthur A. Goshtasby
Ceg 724-01: Computer Vision I, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course covers basic algorithms for low-level and mid-level vision. The algorithm; deal with edge detection and image segmentation, feature detection and matching, and image alignment. Also covered in the course are structure from motion, dense motion estimation, and stereo depth percepti011
Ceg 2350: Os Concepts And Usage, Prabhaker Mateti
Ceg 2350: Os Concepts And Usage, Prabhaker Mateti
Computer Science & Engineering Syllabi
Introduction to Linux and Windows systems. GUT 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 servers. Secure shell, sftp. SSL/TSL. HTTPS. System Administration. 4 credit hours. 3 hours lectures, 2 hours labs. Prerequisites: CS 240 or CS 220 or equivalent.
Ceg 260-01: Digital Computer Hardware And Switching Circuits, John C. Gallagher
Ceg 260-01: Digital Computer Hardware And Switching Circuits, John C. Gallagher
Computer Science & Engineering Syllabi
This course covers the design and analysis of basic digital circuits for computation. Topics will Include number systems, basic Boolean algebra, combinational circuit design and analysis, basic Medium Scale Integration (MSI) components, basic memory devices, basic sequential circuits, and binary arithmetic. At the end of this course you should be able to design, optimize, and Implement combinational logic for a variety of applications. You should also be familiar with basic MSI components and sequential circuit concepts In preparation for more advanced study of computer architecture, sequential circuit analysis, design, and optimization.
Ceg 402/602-01: Introduction To Computer Communication, Bin Wang
Ceg 402/602-01: Introduction To Computer Communication, 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. You will
•Understand networking principles, protocols, and technologies.
•Understand some design and performance issues involved in providing a network service.
•Acquire background for supporting e-commerce, e-government, and e-education.
•Gain hands-on experience with programming techniques for network protocols.
•Obtain background for original research in computer networks.
Cs 208: Computer Programming For Business I, David M. Hutchison
Cs 208: 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/Mth 316/516: Survey Of Numerical Methods For Computational Science, Michael Linger
Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Michael Linger
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 400/600: Data Structures And Software Design, Meilin Liu
Cs 400/600: Data Structures And Software Design, Meilin Liu
Computer Science & Engineering Syllabi
This is a fundamental course for students majoring in Computer Science. Students will learn: basic algorithm analysis techniques; asymptotic complexity; big-0 and big-Omega notations; efficient algorithms for discrete structures including lists, trees, stacks, and graphs; fundamental computing algorithms including sorting, searching, and hashing techniques.
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/Mth 410/610-01: Theoretical Foundations Of Computing, Sarah Gothard
Cs/Mth 410/610-01: Theoretical Foundations Of Computing, Sarah Gothard
Computer Science & Engineering Syllabi
Turing machines; partial-recursive functions; equivalence of computing paradigms; Church-Turing thesis; undecidability; intractability. Four hours lecture.
Cs 214: Visual Basic Programming, Eric Saunders
Cs 214: 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 400/600: Date Structures And Algorithms, Keke Chen
Cs 400/600: Date Structures And Algorithms, Keke Chen
Computer Science & Engineering Syllabi
This course will cover the introduction to the fundamentals of algorithm design and analysis, the implementation of classical data structures and control structures, and the basic problem solving techniques.
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 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan
Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course deals with the theory and practice of compiler design. Topics emphasized are scanning and parsing. If time permits, semantic analysis will also be covered.
Cs 242: Computer Programming Iii, Mateen M. Rizki
Cs 242: Computer Programming Iii, Mateen M. Rizki
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 241: Computer Programming Ii, Jay Dejongh
Cs 241: Computer Programming Ii, Jay Dejongh
Computer Science & Engineering Syllabi
A continuation of CS 240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.