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Full-Text Articles in Engineering
Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan
Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will introduce fundamental concepts and paradigms underlying the design of modern multi-paradigm programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java), and a functional language (e.g., scheme). The former is an exemplar of a language for programming-in-the-large, while the latter is an exemplar of programming-in-the-small. The overall goal is to enable comparison and evaluation of existing languages. 1he programming assignments will be coded in Java and in Scheme.
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 societal impact of technology.
Cs 242: Computer Programming Iii, Yong Pei
Cs 242: Computer Programming Iii, Yong Pei
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 766: Evolutionary Computation, John C. Gallagher
Cs 766: Evolutionary Computation, John C. Gallagher
Computer Science & Engineering Syllabi
This course explores evolutionary computation from a historical, theoretical, and application viewpoint. An overview of the most common evolutionary search techniques is presented. Specific topics include in the overview are: genetic algorithms, evolutionary programming, evolutionary strategies, and genetic programming. The fundamental issues driving the choice of problem representation and specific genetic operators are discussed. Various applications of evolutionary computation to problems in control, optimization, and pattern recognition are examined.
Ceg 220-01: Introduction To C Programming For Engineers, Dennis Kellermeier
Ceg 220-01: Introduction To C Programming For Engineers, Dennis Kellermeier
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 241-01: Computer Programming Ii, Bin Wang
Ceg 241-01: Computer Programming Ii, Bin Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 720-01: Computer Architecture, Jack Jean
Ceg 720-01: Computer Architecture, Jack Jean
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.
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.
Ceg 434/634-01: Concurrent Software Design, Soon M. Chung
Ceg 434/634-01: Concurrent Software Design, Soon M. Chung
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 more about one particular way to address some of the challenges and issues associated with successful software design. Specifically, you will learn 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.
Cs 205: Introduction To Computers And Office Productivity Software, John P. Herzog
Cs 205: 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 social impact of technology.
Cs 206: Computer Software Productivity Tools, John P. Herzog
Cs 206: Computer Software Productivity Tools, 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 advance and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.
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 240: Computer Programming - I, Michael Ondrasek
Cs 240: Computer Programming - I, Michael Ondrasek
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/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 209-01: Computer Programming For Business Ii, David M. Hutchison
Cs 209-01: Computer Programming For Business Ii, David M. Hutchison
Computer Science & Engineering Syllabi
CS 209 is the second in a sequence of two programming classes required for MIS majors. This course will continue teaching students to the basic concepts of programming. Examples are from business applications and emphasis is on problem solving with the computer as a stool.
Cs 470/670: System Simulation, Mateen M. Rizki
Cs 470/670: System Simulation, Mateen M. Rizki
Computer Science & Engineering Syllabi
No abstract provided.
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.