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Full-Text Articles in Engineering
Egr 335/535-01: Technical Communications For Engineers And Computer Scientists, Leo Finkelstein
Egr 335/535-01: Technical Communications For Engineers And Computer Scientists, Leo Finkelstein
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 730-01: Distributed Computing Principles, Soon M. Chung
Ceg 730-01: Distributed Computing Principles, Soon M. Chung
Computer Science & Engineering Syllabi
Communicating sequential processes, clients and servers, remote procedure calls, stub generation, weak and strong semaphores, split-binary semaphores, and distributed termination. 3 hours lecture and 2 hours lab.
Ceg 4120/6120: Managing The Software Process, John A. Reisner
Ceg 4120/6120: Managing The Software Process, John A. Reisner
Computer Science & Engineering Syllabi
This course will cover some of the challenges and issues associated with software project management. Emphasis will occur on two fronts: (1) the software manger's view (that is, what considerations and obstacles confront project managers during software development), and (2) the organizational view (that is, how organizations can foster a climate where software project management is performed effectively throughout an organization).
Ceg 751-01: Microprocessors Ii, Jack Jean
Ceg 751-01: Microprocessors Ii, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 463/663-01: The Personal Software Development Process, John A. Reisner
Ceg 463/663-01: The Personal Software Development Process, John A. Reisner
Computer Science & Engineering Syllabi
In this course, you will learn about more about one particular way to address some of the challenges and issues associated with successful software development. Specifically, you will learn about (and use) the Personal Software Process (PSP), designed to help individual software practitioners become more adept at their craft through the use of project planning, project tracking, defect analysis, review and verification activities, software measurement, and process management. This course--and the PSP-are somewhat unique in that they aim to help software engineers become more successful, not by examining issues associated with large-scale development (as is the case with many software …
Ceg 233-01: Linux And Windows, Prabhaker Mateti
Ceg 233-01: Linux And Windows, Prabhaker Mateti
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 servers. Secure shell, sftp. SSUTSL. HTTPS. System Administration. 4 credit hours. 3 hours lectures, 2 hours labs.
Ceg 260-01: Digital Computer Hardware/Switching Circuits, Meilin Liu
Ceg 260-01: Digital Computer 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.
Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Analee Marlenee Miranda
Cs/Mth 316/516: Survey Of Numerical Methods For Computational Science, Analee Marlenee Miranda
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 790-03: Knowledge Representation: Advanced Topics, Pascal Hitzler
Cs 790-03: Knowledge Representation: Advanced Topics, Pascal Hitzler
Computer Science & Engineering Syllabi
We cover advanced topics in knowledge representation and reasoning (KRR), with a focus on issues which are important for the Semantic Web. In particular, we cover a wide range of traditional KRR techniques and how they impact state-of-the-art research related to the Semantic Web. Guided by the instructor, each student will prepare and deliver a substantial presentation covering both the fundamentals of a KRR approach, and one or more recent and prominent research results related to it. Emphasis is put on controversial discussion in class of the value of state-of-the-art research for future developments of the field.
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 and lectures and discussions.
Cs 405/605: Introduction To Database Management Systems, Keke Chen
Cs 405/605: 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 (3) Physical implementation (data organization and indexing) methods. (4) 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.
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 399: Iphone Programming Ii, Erik Marlow Buck
Cs 399: Iphone Programming Ii, Erik Marlow Buck
Computer Science & Engineering Syllabi
Students will develop: additional competency developing software for iOS devices including any of iPhone, iPod Touch, or iPad, understanding of framework, language, and operating system support for multi-threaded programming, understanding of robust network communication approaches, understanding of sensors and location technologies with tradeoffs for accuracy, speed, and user privacy, competency integrating sensors, image processing, and networking to implement augmented reality applications.
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 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 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.
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.
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 205: Introduction To Computers And Office Productivity Software, Terri Bauer
Cs 205: 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 142: Computer Programming Ii, Vanessa Starkey
Cs 142: Computer Programming Ii, Vanessa Starkey
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 205-07: Introduction To Computers And Office Productivity Software, John P. Herzog
Cs 205-07: Introduction To Computers And Office Productivity Software, John P. Herzog
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 340: Programming Language Workshop In Scala, Krishnaprasad Thirunarayan
Cs 340: Programming Language Workshop In Scala, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course is designed as a self-study in Scala. You are expected to learn the language and solve a set of programming problems assigned to you using Scala available from http://www.scala-lang.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 214-01: Visual Basic Programming, Radar Pangaean
Cs 214-01: Visual Basic Programming, Radar Pangaean
Computer Science & Engineering Syllabi
This course will teach the fundamentals of object oriented programming using Visual BASIC to solve simple to medium complexity programming problems. The course will cover: algorithms, VB’s data types, coding standards, decision and looping constructs, arrays and structures, functions and procedures, file I/O, the standard GUI elements supported by Visual BASIC, and custom classes. Students will use texts and reference materials while coding. No previous programming experience is required. Basic algebra and computer skills are required.
Cs 242: Computer Programming Iii, Mateen M. Rizki
Cs 242: Computer Programming Iii, Mateen M. Rizki
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 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
No abstract provided.
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 interpret data, identify non-trivial facts and patterns in that data, and how to make predictions based on that data. Topics include summarizing data, making predictions from data, and finding hidden relationships in data. Familiarity with spreadsheet software is assumed …
Cs 399-01: Ios Programming, Erik Marlow Buck
Cs 399-01: Ios Programming, Erik Marlow Buck
Computer Science & Engineering Syllabi
No abstract provided.
Cs 400/600-02: Data Structures And Software Design, Guozhu Dong
Cs 400/600-02: Data Structures And Software Design, Guozhu Dong
Computer Science & Engineering Syllabi
No abstract provided.
Cs 470/670: System Simulation, Mateen M. Rizki
Cs 470/670: System Simulation, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.