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Full-Text Articles in Engineering
Ceg 720-01: Computer Architecture I, Soon M. Chung
Ceg 720-01: 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, interconnection networks, and fault-tolerant computing.
Ceg 724-01: Computer Vision I, Arthur A. Goshtasby
Ceg 724-01: Computer Vision I, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course teaches basic techniques for low-level and mid-level vision. The techniques are to reduce image noise and segment images into objects or their parts. Other techniques covered in the course analyze and quantify texture, register images, and recover 3-D shapes from 2-D images.
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 760-01: Advanced Software Computer Engineering, Thomas C. Hartrum
Ceg 760-01: Advanced Software Computer Engineering, Thomas C. Hartrum
Computer Science & Engineering Syllabi
This course covers advanced topics in software engineering. Aspects of problem specification, design, verification, and evaluation are discussed. We will focus on design methods, including software patterns and software architecture, plus some advanced topics involving formal methods of software specification or evaluation using software metrics. Students will participate in team projects to apply the methods discussed.
Ceg 751-01: Microprocessors Ii, Jack Jean
Ceg 751-01: Microprocessors Ii, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 402/602-01: Computer Networks, Jack Jean
Ceg 402/602-01: Computer Networks, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
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.
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 Dietel et al 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 207-01: Microsoft Office 2007: Post-Advanced Concepts And Techniques, M. K. Reynolds
Cs 207-01: Microsoft Office 2007: Post-Advanced Concepts And Techniques, M. K. Reynolds
Computer Science & Engineering Syllabi
Microsoft Office 2007: Post-Advanced Concepts and Techniques is intended for a third course on Office 2007 applications. This book assumes that students are familiar with the fundamentals and some advanced features of Word 2007, Excel 2007, Access 2007, and PowerPoint 2007. The objectives of this book are:
To offer a comprehensive presentation of Word 2007, Excel 2007, Access 2007, and PowerPoint 2007
To expose students to practical examples of the computer as a useful tool
To acquaint students with the proper procedures to create and enhance documents, worksheets, databases, and presentations suitable for coursework, professional purposes, and personal use
To …
Cs 242-02: Computer Programming Iii, Sarah Gothard
Cs 242-02: Computer Programming Iii, Sarah Gothard
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 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 engineering …
Ceg 460/660-01: Introduction To Software Computer Engineering, John A. Reisner
Ceg 460/660-01: Introduction To Software Computer Engineering, John A. Reisner
Computer Science & Engineering Syllabi
This course introduces established practices for engineering large-scale software systems. Emphasis is placed on both the technical and managerial aspects of software engineering, and the software development process. This includes techniques for requirements elicitation, analysis, design, testing, and project management. The course emphasizes object-oriented development with the Unified Modeling Language (UML). Hands-on experience is provided through individual homework problems and a partnered project.
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 214: Visual Basic Programming, Vanessa Starkey
Cs 214: Visual Basic Programming, Vanessa Starkey
Computer Science & Engineering Syllabi
This course will cover the fundamentals of object-oriented computer programming including design, structure, debugging, and testing. Visual Basic 2008 will be used for developing programs.
Cs 350/550: Computational Tools And Techniques For Data Analysis, Ronald F. Taylor
Cs 350/550: Computational Tools And Techniques For Data Analysis, Ronald F. Taylor
Computer Science & Engineering Syllabi
Introduction to the representation, visualization, and modeling of large data sets. Data analysis using standard high level software tools. Topics include data filtering, clustering, classification, and data mining. A familiarity with Excel is assumed plus some exposure to programming in languages such as C/C++ or Java. Knowledge of basic statistics is useful but not required. Material covered will be relevant to applications areas in science and engineering. Four credit hours.
Ceg 460/660: Introduction To Software Computer Engineering, Jeffrey Mcdonald
Ceg 460/660: Introduction To Software Computer Engineering, Jeffrey Mcdonald
Computer Science & Engineering Syllabi
This course is concerned with the techniques of designing and constructing large programs. Some of the required basic concepts necessarily have to be developed using small programs as examples. To this extent we also study programming-in-the-small. The overall objectives are to present an overview of issues in the development of sot1ware, to discuss terminology, to illustrate via example case studies, and to give sufficiently detailed advice on how to develop quality software. Hands-on experience is emphasized through the use of homework and a class project.
Ceg 453/653: Embedded Systems, Jack Jean
Ceg 453/653: Embedded Systems, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 770: Computer Engineering Mathematics, Yong Pei
Ceg 770: Computer Engineering Mathematics, Yong Pei
Computer Science & Engineering Syllabi
Computer Engineering and Science students need proficiency in relevant applied mathematics to be able to discover and model difficult real-world computer engineering and science problems. The relationship of these problems to mathematical theory will be discussed. This course provides an introduction to linear and nonlinear programming, probability and stochastic process, and queueing theory. In addition to mathematical theory, appropriate applications will be presented.
Cs 705: Introduction To Data Mining, Guozhu Dong
Cs 705: Introduction To Data Mining, Guozhu Dong
Computer Science & Engineering Syllabi
Data mining is concerned with the extraction of novel and useful knowledge from large amounts of data. This course introduces and studies the fundamental concepts, issues, tasks and techniques of data mining. Topics include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, scalability, spatial and sequence mining, privacy, and data mining applications. 3 hours lecture, 2 hours lab.
Cs 766: Evolutionary Computation, Mateen M. Rizki
Cs 766: Evolutionary Computation, Mateen M. Rizki
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 are presented including 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.
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.
Ceg 320/520: Computer Organization And Assembly Language Programming, Travis E. Doom
Ceg 320/520: Computer Organization And Assembly Language Programming, Travis E. Doom
Computer Science & Engineering Syllabi
Terminology and understanding of functional organizations and sequential operation of a digital computer. Program structure, and machine and assembly language topics including addressing, stacks, argument pasing, arithmetic operations, traps, and input/output. Macros, modularization, linkers, and debuggers are used.
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 two 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 Science, by Thomas Sudkamp.
Cs 409/609: Principles Of Artificial Intelligence, Shaojun Wang
Cs 409/609: Principles Of Artificial Intelligence, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 240: Introduction To Computer Science I, Mateen M. Rizki
Cs 240: Introduction To Computer Science I, 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: Introduction To Computer Science Ii, Ronald F. Taylor
Cs 241: Introduction To Computer Science Ii, Ronald F. Taylor
Computer Science & Engineering Syllabi
A continuation of CS 240. Emphasis is on solving more complex problems using object oriented programming. Prerequisite: CS 240. 4 credit hours.
Cs 400/600: Data Structures And Software Design, Keke Chen
Cs 400/600: Data Structures And Software Design, Keke Chen
Computer Science & Engineering Syllabi
This course will cover the implementation of classical data structures and control structures, an introduction to the fundamentals of algorithm design and analysis, and the basic problem solving techniques.
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, John C. Gallagher
Ceg/Ee 260: Digital Computer Hardware Switching Circuits, John C. Gallagher
Computer Science & Engineering Syllabi
Digital Computer Hardware. Topics include switching algebra and switching
functions, logic design of combinational and sequential circuits using TTL,
combinational logic design with MSI and LSI, busing, storage elements, and
instrumentation.
Cs 205-08: Introduction To Computers And Office Productivity Software, Kim Gros
Cs 205-08: Introduction To Computers And Office Productivity Software, Kim Gros
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including word processing (intermediate), 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.