Computer Sciences Commons^™

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 7840: Soft Computing, John C. Gallagher

Computer Science & Engineering Syllabi

No abstract provided.

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 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 3320-01: Digital System Design, Travis E. Doom

Computer Science & Engineering Syllabi

Basics of Digital Computer Hardware and Design. Topics include switching algebra and switching functions, logic design of combinational and sequential circuits, storage elements, register-level design, and instrumentation. 3 hours lecture, 1 credit hour lab.

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 4110/6110-01: 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 4350/6350-01: Operating System Internals And Design, Jack Jean

Computer Science & Engineering Syllabi

No abstract provided.

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 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 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 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 4400/6400-01: Computer Network And Security, Bin Wang

Computer Science & Engineering Syllabi

This course provides an introduction to basic concepts of communication networks and network security, different types of networks, protocols over different layers, applications, and security issues, through lectures, labs, homework, and reading on relevant materials. You will
•Understand networking principles, protocols, and technologies.
•Understand design and performance issues involved in providing network services.
•Acquire background for supporting e-commerce, e-government, and e-education.
• Gain hands-on experiences through implementation of simple network protocols.
• Preparation for research or taking advanced courses in computer networks and security.

Ceg 3310-01: Computer Organization, Michael L. Raymer

Computer Science & Engineering Syllabi

Understanding how a computer works is essential to writing efficient, bug-free code. In this course you will learn about the basic organization of computing systems. From digital logic and devices to instruction set architecture, we will explore the organization and control of a CPU at multiple levels of detail. You will learn how high level languages are compiled into assembly language and converted to machine code, and how that machine code runs on a CPU. We will explore how understanding computer organization is essential for writing efficient code, writing error-free code, and protecting your code from malicious use and misuse.

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

Computer Science & Engineering Syllabi

No abstract provided.

Cs 7900-01: Multimedia Networking, Yong Pei

Computer Science & Engineering Syllabi

This course provides an in-depth examination of the fundamental concepts, principles, design guideline and protocols in multimedia coding and networking. Topics include: fundamentals of QoS networking techniques, lossless and lossy multimedia coding technical evolutions, the state-of-the-art data coding techniques and industry standards such as JPEG/JPEG2000, SPIHT, H.261/H.263/H.264, Motion JPEG2000, and MPEG2/MPEG4, MPEG21, and Multimedia over Internet applications and Mobile Multimedia services.

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 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.

Ceg 3310/5310-01: Computer Organization, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

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.

Cs 1010: 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 4810: Algorithms For Bioinformatics, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

The Factors Behind A Successful Implementation Of Electronic Health Records Systems, Anjee Gorkhali

Engineering Management & Systems Engineering Theses & Dissertations

This research explores the role that budget for Information System (IS) and technical expertise of healthcare service provider staff play on the successful leap from a partial to exhaustive implementation of Electronic Health Records (EHR) Systems. Technical expertise in Information Systems might not be easily measurable directly, but there are a number of indicators that could be used as a proxy, such as: Information System (IS) Department Budget, number of IS staff and the extent of technical trainings provided by the IS department to the clinical staff. This research study hypothesizes that quality technical trainings conducted by an IS department …

Semi-Automatic Simulation Initialization By Mining Structured And Unstructured Data Formats From Local And Web Data Sources, Olcay Sahin

Computational Modeling & Simulation Engineering Theses & Dissertations

Initialization is one of the most important processes for obtaining successful results from a simulation. However, initialization is a challenge when 1) a simulation requires hundreds or even thousands of input parameters or 2) re-initializing the simulation due to different initial conditions or runtime errors. These challenges lead to the modeler spending more time initializing a simulation and may lead to errors due to poor input data.

This thesis proposes two semi-automatic simulation initialization approaches that provide initialization using data mining from structured and unstructured data formats from local and web data sources. First, the System Initialization with Retrieval (SIR) …

A Flexible Mixed Integer Programming Framework For Nurse Scheduling, Murphy Choy, Michelle L. F. Cheong

Research Collection School Of Computing and Information Systems

In this paper, a nurse-scheduling model is developed using mixed integer programming model. It is deployed to a general care ward to replace and automate the current manual approach for scheduling. The developed model differs from other similar studies in that it optimizes both hospitals requirement as well as nurse preferences by allowing flexibility in the transfer of nurses from different duties. The model also incorporated additional policies which are part of the hospitals requirement but not part of the legislations. Hospitals key primary mission is to ensure continuous ward care service with appropriate number of nursing staffs and the …

A Probabilistic Graphical Model For Topic And Preference Discovery On Social Media, Lu Liu, Feida Zhu, Lei Zhang, Shiqiang Yang

Research Collection School Of Computing and Information Systems

Many web applications today thrive on offering services for large-scale multimedia data, e.g., Flickr for photos and YouTube for videos. However, these data, while rich in content, are usually sparse in textual descriptive information. For example, a video clip is often associated with only a few tags. Moreover, the textual descriptions are often overly specific to the video content. Such characteristics make it very challenging to discover topics at a satisfactory granularity on this kind of data. In this paper, we propose a generative probabilistic model named Preference-Topic Model (PTM) to introduce the dimension of user preferences to enhance the …

Area Query Processing Based On Gray Code In Wireless Sensor Networks, Chunyu Ai, Yueming Duan, Mingyuan Yan, Jing He

Faculty Articles

Area query processing is significant for various applications of wireless sensor networks since it can request information of particular areas in the monitored environment. Existing query processing techniques cannot solve area queries. Intuitively centralized processing on Base Station can accomplish area queries via collecting information from all sensor nodes. However, this method is not suitable for wireless sensor networks with limited energy since a large amount of energy is wasted for reporting useless data. This motivates us to propose an energy-efficient in-network area query processing scheme. In our scheme, the monitored area is partitioned into grids, and a unique gray …

Improving Performance Of Solid State Drives In Enterprise Environment, Jian Hu

School of Computing: Dissertations, Theses, and Student Research

Flash memory, in the form of Solid State Drive (SSD), is being increasingly employed in mobile and enterprise-level storage systems due to its superior features such as high energy efficiency, high random read performance and small form factor. However, SSD suffers from the erase-before-write and endurance problems, which limit the direct deployment of SSD in enterprise environment. Existing studies either develop SSD-friendly on-board buffer management algorithms, or design sophisticated Flash Translation Layers (FTL) to ease the erase-before-write problem. This dissertation addresses the two issues and consists of two parts.

The first part focuses on the white-box approaches that optimize the …

Sensor Openflow: Enabling Software-Defined Wireless Sensor Networks, Tie Luo, Hwee-Pink Tan, Tony Q. S. Quek

Research Collection School Of Computing and Information Systems

While it has been a belief for over a decade that wireless sensor networks (WSN) are application-specific, we argue that it can lead to resource underutilization and counter-productivity. We also identify two other main problems with WSN: rigidity to policy changes and difficulty to manage. In this paper, we take a radical, yet backward and peer compatible, approach to tackle these problems inherent to WSN. We propose a Software-Defined WSN architecture and address key technical challenges for its core component, Sensor OpenFlow. This work represents the first effort that synergizes software-defined networking and WSN.