Computer Engineering Commons^™

Ceg 434-01: Concurrent Software Design, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.

Cs 1000: Technology And Society, John A. Reisner

Computer Science & Engineering Syllabi

What impact does technology have on society? As technology plays a greater role in our everyday lives, this becomes an increasingly important question. We have seen unprecedented advances over the past few decades, but sometimes benefits can be offset by unforeseen consequences and repercussions (such as privacy concerns, identity theft, or safety). The goal of this course is to evaluate the consequences of technological advances on individuals, organizations, and society, and identify potential benefits and limitations, by examining and discussing and how social, ethical, legal and philosophical repercussion impact society.

Ceg 221-01: Advanced C For Engineers, Jay Dejongh

Computer Science & Engineering Syllabi

This course introduces advanced constructs, algorithms, and data structures in the C programming language. Emphasis is on problem solving and techniques useful to engineers. Topics include functions, array, pointers, structures as well as sorting algorithms, linked lists, complex numbers, stacks, queues, hash tables, and binary trees. 4 credit hours. Prerequisite: CEG220 (Introduction to C Programming for Engineers).

Ceg 355-01: Introduction To The Design Of Information Technology Systems, Thomas C. Hartrum

Computer Science & Engineering Syllabi

Introduction to the design of information systems comprising modern technologies such as SQL database programming, networks, and distributed computing with CORBA, electronic and hypertext (HTML) documents, and multimedia.

Ceg 460/660-01: Introduction To Software Computer Engineering, Nikolaos Bourbakis

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 software, to discuss terminology, to illustrate via example case studies, and to give sufficiently detailed advice on how to develop quality software and present a way of communication via UML. Hands-on experience is emphasized through the use of homework and a class project.

Ceg 479/679-01: Computer Animation, Thomas Wischgoll

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 702-01: Advanced Communication Networks, Bin Wang

Computer Science & Engineering Syllabi

No abstract provided.

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.

Ceg 2350: Os Concepts And Usage, Richard Van Hook

Computer Science & Engineering Syllabi

Provides introduction to Linux and Windows operating systems and system administration. Covers files and directories, ownership and sharing, programs and processes, system calls, libraries, dynamic linking, command line shells, scripting, regular expressions and secure network protocols.

Ceg 360/560-01: Digital System Design, Travis E. Doom

Computer Science & Engineering Syllabi

Design of digital systems. Topics include flip-flops, registers, counters, programmable logic devices, memory devices, register-level design, and microcomputer system organization. Students must show competency in the design of digital systems. 3 hours lecture, 2 hours lab. Prerequisite: CEG 260.

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 …

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 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 this study. …

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

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 214-01: 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 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 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 701: Database Systems And Design I, Guozhu Dong

Computer Science & Engineering Syllabi

An introduction to database design, database system implementation issues and techniques, and advanced data models and concepts.

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 400/600-02: Data Structures And Software Design, Guozhu Dong

Computer Science & Engineering Syllabi

No abstract provided.

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 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 784: Programming Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course introduces concepts related to the specification and design of high-level programming languages. It discusses different programming paradigms, algebraic specification and implementation of data types, and develops interpreters for specifying operationally the various programming language features/constructs. It also introduces attribute grammar formalism and axiomatic semantics briefly. The programming assignments will be coded in Scheme using Racket IDE.

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, Mateen M. Rizki

Computer Science & Engineering Syllabi

No abstract provided.

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 712: Advanced Topics In Ai - Foundations And Algorithms, Shaojun Wang

Computer Science & Engineering Syllabi

This course will provide an in-depth examination of the boosting approach to machine learning, with emphasis on theoretical foundations. Likely topics include some or all of the following:

general foundations of machine learning

analysis of training error

direct analysis of generalization error

margins theory

connections to game theory and online learning

boosting as loss minimization

relation to information geometry

practical extensions

universal consistency

optimally efficient boosting

boosting in continuous time

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/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 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 …