Engineering Commons^™

Cs 1180-06: Computer Programming - I, Jay Dejongh

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 1181: Computer Science Ii, Mateen M. Rizki

Computer Science & Engineering Syllabi

This is the second course in a two-semester sequence introducing fundamental concepts and techniques for computer science and engineering. The course focuses on problem analysis, advanced programming concepts using JAVA and fundamental data structures. Students learn to analyze problems and evaluate potential solutions with respect to choice of data structures and computational efficiency. Student are exposed to the underlying implementation of basic data structures available in JAVA libraries and develop the skilled needs to extend existing data structures and design new data structures to solve increasingly complex problems.

Cs 1200: Introduction To Discrete Structures, Pascal Hitzler

Computer Science & Engineering Syllabi

No abstract provided.

Cs 2160: 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 2800: Web Design Fundamentals, Mohamed B. Ali

Computer Science & Engineering Syllabi

Introduction to basic web design, development, and information management. Topics include design principles, page layout, hierarchal organization, content management, use of color and graphics, privacy policies, accessibility and site organization. HTML, and modern web programming tools are included in the course.

Cs 3180/5180: Comparative Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will introduce fundamental concepts and paradigms underlying the design of modern programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java, C#, C++), a functional language (e.g., Scheme, and get introduced to multiparadigm languages (e.g., Python, Scala). The overall goal is to enable comparison and evaluation of existing languages. The programming assignments will largely be coded in Java and in Scheme, and optionally in Python or Scala.

Cs 3200/5200: Theoretical Foundations Of Computing, Guozhu Dong

Computer Science & Engineering Syllabi

CS 3200/5200 is an introduction to (a) formal language and automata theory and (b) computability. For (a), we will examine mechanisms for defining syntax of languages and devices for recognizing languages. Along with the fundamentals of these two topics, the course will investigate the relationships between language definition mechanisms and language recognition devices. For (b), we will study decision problems, the Church-Turing thesis, the undecidability of the Halting Problem, and problem reduction and undecidability. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science, by Thomas Sudkamp.

Cs 4700/6700: Introduction To Database Management Systems, Soon M. Chung

Computer Science & Engineering Syllabi

Survey of logical and physical aspects of database management systems. Entity Relationship and relational models for databases are presented. Physical database design methods, formal DB design concepts, and operating principles of database systems are discussed.

Cs 4900/6900-01: Ios Programming, Erik Marlow Buck

Computer Science & Engineering Syllabi

No abstract provided.

Cs 7800: Information Retrieval, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course will cover models for information retrieval, techniques for indexing and searching. and algorithms for classification and clustering. It will also cover SVM, latent semantic indexing. link analysis and ranking, Map-Reduce architecture and Hadoop, to different degrees of detail, time permitting.

Cs 7900: 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/Mth 3260/5260: Numerical Methods For Computational Science, Ronald F. Taylor

Computer Science & Engineering Syllabi

Numerical methods for the sciences using modern programming languages. Solution of linear and nonlinear equations, symmetric matrix eigenvalue problems, interpolation, and least squares. Initial value and boundary value problems for representative systems governed by ordinary and partial differential equations are also solved numerically. Three hours lecture.

Digital Imperatives In Marketing: The Integration Of Communications And Technology To Target Consumers While Protecting Privacy, Catherine Dwyer, Randi Priluck

Cornerstone 3 Reports : Interdisciplinary Informatics

No abstract provided.

Cs 4000: Social Implications Of Computing, Leo Finkelstein

Computer Science & Engineering Syllabi

CS 4000 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.

Ceg 2170-01: Introduction To C Programming For Engineers, Jay Dejongh

Computer Science & Engineering Syllabi

Basic engineering problem solving using the C programming language. Topics include loops, selection, input/output, files, functions, arrays, complex variables, pointers, structures, and dynamic memory. Students will learn how to approach solving problems in engineering and science; how to develop algorithms, using advanced techniques such as recursion, searching, sorting and linked lists, to solve those problems; and how to implement those algorithms in the C language.

Ceg 2400-01: Intro To Pc Networking, Chris P. Fickert

Computer Science & Engineering Syllabi

Introduction to networking technologies including infrastructure and architectures, standards, protocols and directory services, administration, security and management. Integrated lecture and lab.

Ceg 3110/5100-01: Introduction To Software Testing, John A. Reisner

Computer Science & Engineering Syllabi

This course covers software testing strategies, along with established best practices, so students learn 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 3310/5310-01: Computer Organization, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 4330/6330-01: Microprocessor-Based Embedded Systems, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 4350/6350-01: Operating System Internals And Design, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

Ceg 4420/6420-01: Host Computer Security, Prabhaker Mateti

Computer Science & Engineering Syllabi

Introduction to security issues arising primarily from computer networks. Topics include node and service authentication, address spoofing, hijacking, SYN floods, sniffing, routing tricks, and privacy of data en route. Buffer overruns and other exploitation of software development errors. Hardening of operating systems. Intrusion detection. Firewalls. Ethics. Prerequisites: CEG4350

Ceg 4520/6520-01: Scientific Visualization And Virtual Environments, Thomas Wischgoll

Computer Science & Engineering Syllabi

By the end of this quarter, you will be familiar with techniques used for visualizing various types of data sets, such as medical, vector or general data sets. This includes appropriate visualization methods for geometric, volumetric, and higher dimensional data sets (e.g. vector or tensor data). In addition, you will learn about user modalities, including different input devices and display types for more advanced visualizations.
The outline of the course is as follows:
•Introduction
•From Graphics to Visualization (chapter 2)
•Virtual Environments
•Data Representations (chapter 3)
•The Visualization Pipeline (chapter 4)
•Scalar Visualization (chapter 5)
•Vector Visualization (chapter 6)
•Tensor …

Ceg 7550-01: Computer Vision, Arthur A. Goshtasby

Computer Science & Engineering Syllabi

This course covers basic algorithms for low-level mid-level and high-level vision. The algorithms deal with edge detection and linage segmentation, feature detection and matching, and object recognition Specific topics covered in the course are:

Contents: The following topics will be covered.
1. Introduction
2. Image formation
3. Linear filtering
4. Feature detection and matching
5. Image segmentation
6. Feature--based alignment
7. Image stitching
8. Structure from Motion
9. Dense motion estimation
10. Stereo correspondence
11. 3-D reconstruction
12. Recognition

Ceg 7370-01: Distributed Computing, Yong Pei

Computer Science & Engineering Syllabi

Semaphores: weak and strong, split-binary, distributed. Distributed Algorithms. Communicating sequential processes. Distributed Tuple Space. Clients and servers, RPC, RMI, Hadoop*. 3 hours lecture.

Ceg 7350-01: Computer Architecture, 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 4980/498101: Team Projects I And Ii, John C. Gallagher

Computer Science & Engineering Syllabi

CEG 4980/4981 (Team Projects I and II) is a summative computer science and engineering design project course that builds upon previous computer science, computer engineering, science, mathematics and communications course work. CS 4980/4981 projects are a minimum of two semesters in length and must be completed in groups of at least three students. Projects are selected under the guidance of the course instructor and are tailored to student interest and specific degree program (BSCS or BSCE) of each student. Students are evaluated both on their individual contributions as recorded in a graded engineering journals and on the quality of their …

Ceg 7380-01: Cloud Computing, Keke Chen

Computer Science & Engineering Syllabi

This is an introductory course to cloud computing. In this course, we will explore a few aspects of cloud computing: distributed data crunching with MapReduce, cloud and datacenter file systems, virtualization, cloud security and privacy, Amazon Web Services, Google App Engine and interactive web applications. Students are expected to read extra materials including papers and online resources, finish a number of mini projects, and take the final exam. Participation in the class discussion is strongly encouraged. Guest speakers might be invited for some particular topics.

Ceg 7900-01: Emerging Networks, Bin Wang

Computer Science & Engineering Syllabi

This is a graduate level course on emerging networking technologies. The course involves various components, including reading/lecture/presentation/discussion, paper review, and a project. It will provide an in-depth study on a number of focused areas: dense wavelength division multiplexing (DWDM) optical networks, ELASTIC optical networks, optical burst/packet switching networks, peer-to-peer networks, Internet of Things, Cloud Networking, Enterprise Networking and wireless mobile networks (including Ad-hoc wireless networks, cognitive radio networks). Various technical and research issues involved will be studied. These areas of emerging networking technologies will play central roles in future communication networks.

Andrews Computing Program Is Abet Accredited, Keri Suarez

Lake Union Herald

No abstract provided.

[Accepted Article Manuscript Version (Postprint)] Track Me To Track Us: Leveraging Short Range Wireless Technologies For Enabling Energy Efficient Wi-Fi-Based Localization, Mohamed Abdellatif, Abderrahmen Mtibaa, Khaled Harras

Computer Science Faculty Works

Given the success of outdoor tracking via GPS and the rise of real-time context-aware services, users will soon rely on applications that require higher granularity indoor localization. This need is further manifested in countries like Qatar, where various social and business activities occur indoors. Wi-Fi-based indoor localization is one of the most researched techniques due to its ubiquitous deployment and acceptable accuracy for a wide range of applications. However, we do not witness such techniques widely deployed mainly due to their high demand on energy, which is a precious commodity in mobile devices. We propose an energy-efficient indoor localization system …