Physical Sciences and Mathematics Commons^™

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.

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.

Cs 7720: Data Mining, Guozhu Dong

Computer Science & Engineering Syllabi

This course studies the fundamental concepts, issues, and techniques of data mining. Topics include basics of data, data preprocessing, feature selection/extraction, frequent pattern and association/correlation mining, classification, clustering, outlier analysis, OLAP/OLAM, contrast mining, applications, etc.

Cs 4850/6850: Principles Of Artificial Intelligence, Shaojun Wang

Computer Science & Engineering Syllabi

No abstract provided.

Cs 4810: Algorithms For Bioinformatics, Michael L. Raymer

Computer Science & Engineering Syllabi

No abstract provided.

Cs 4800/6800: Web Information Systems, Amit P. Sheth

Computer Science & Engineering Syllabi

No abstract provided.

Cs 3190: 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, l will be available in the posted office hours for clarifications and discussions about the programming problems.

Cs 3100/5100: Data Structures And Algorithms, Meilin Liu

Computer Science & Engineering Syllabi

This is a fundamental course for students majoring in Computer Science. Students will learn: basic algorithm analysis techniques; asymptotic complexity; big-0 and big-Omega notations; efficient algorithms for discrete structures including lists, trees, stacks, and graphs; fundamental computing algorithms including sorting, searching, and hashing techniques.

Cs 3100/5100: Data Structures And Algorithms, Keke Chen

Computer Science & Engineering Syllabi

This course will cover the fundamentals of algorithm design and analysis, the implementation of classical data structures and control structures, and the basic problem solving techniques.

Cs 1010-01: 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.

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 7900-01: Special Topics: Computer And Network Security, Junjie Zhang

Computer Science & Engineering Syllabi

This course will introduce active research topics in computer and network security, and will focus on discussing both sophisticated cyber-attacks and the defense mechanisms. The course will cover topics including intrusion detection, malware analysis, worm detection, botnet detection, spam, phishing, DNS security, web security, cellular network security, and privacy. This class is targeted at PhD and MS students who consider conducting research in computer and network security, and students who are interested in real-world security problems.

Ceg 4500/6500-01: Computer Graphics, Thomas Wischgoll

Computer Science & Engineering Syllabi

By the end of this quarter, you will have learnt techniques for constructing 2-D and 3·D objects as well as manipulating and rendering the objects using OpenGL.
The outline of the course is as follows:
•Introduction
•Geometric primitives
•Attributes of geometric primitives
•Antialiasing techniques
•Homogeneous coordinate system
•2-0 and 3-D viewing transformations
•Structures and hierarchical modeling
•Input devices and interactive techniques
•Visible surface detection methods
•Three-Dimensional Object Representations (chapter 8)
•Visible-Surface Detection (chapter 9)
•Illumination Models and Surface-Rendering Methods (chapter 10)
•Interactive Input Methods and Graphics User Interfaces (chapter 11)
•Color Models and Color Applications (chapter 12)
•Advanced Rendering and …

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 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 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.

Computing Perception From Sensor Data, Payam Barnaghi, Frieder Ganz, Cory Andrew Henson, Amit P. Sheth

Kno.e.sis Publications

This paper describes a framework for perception creation from sensor data. We propose using data abstraction techniques, in particular Symbolic Aggregate Approximation (SAX), to analyse and create patterns from sensor data. The created patterns are then linked to semantic descriptions that define thematic, spatial and temporal features, providing highly granular abstract representation of the raw sensor data. This helps to reduce the size of the data that needs to be communicated from the sensor nodes to the gateways or highlevel processing components. We then discuss a method that uses abstract patterns created by SAX method and occurrences of different observations …

A Descriptive Study Of Childhood Cancer Statistics: Montgomery County, Jamie L. Hartig

Master of Public Health Program Student Publications

Objective: This research describes childhood cancer and identifies variances in childhood cancer statistics in the United States, Ohio, and Montgomery County.

Methods: This is a descriptive analysis of childhood cancer statistics using the Ohio Cancer Incidence Surveillance System (OCISS) (Ohio Department of Health, 2010) and CDC Wonder database (United States Department of Health and Human Services [USDHHS], Centers for Disease Control and Prevention [CDC], & National Cancer Institute [NCI], 2008 & 2011.) Cancer incidences between white children and black children were compared for the years 1999-2009. The OCISS database was also used to compare vital status by race, cancer stage …

Recent Advances In Integrating Owl And Rules, Matthias Knorr, David Carral Martinez, Pascal Hitzler, Adila A. Krisnadhi, Frederick Maier, Cong Wang

Computer Science and Engineering Faculty Publications

As part of the quest for a unifying logic for the Semantic Web Technology Stack, a central issue is finding suitable ways of integrating description logics based on the Web Ontology Language (OWL) with rule-based approaches based on logic programming. Such integration is difficult since naive approaches typically result in the violation of one or more desirable design principles. For example, while both OWL 2 DL and RIF Core (a dialect of the Rule Interchange Format RIF) are decidable, their naive union is not, unless carefully chosen syntactic restrictions are applied.

We report on recent advances and ongoing work by …

A Tableau Algorithm For Description Logics With Nominal Schema, Adila Krisnadhi, Pascal Hitzler

Computer Science and Engineering Faculty Publications

We present a tableau algorithm for the description logic ALCOV. This description logic is obtained by extending the description logic ALCO with the expressive nominal schema construct that enables DL-safe datalog with predicates of arbitrary arity to be covered within the description logic framework. The tableau algorithm provides a basis to implement a delayed grounding strategy which was not facilitated by earlier versions of decision procedures for satisfiability in expressive description logics with nominal schemas.

Reconciling Owl And Non-Monotonic Rules For The Semantic Web, Matthias Knorr, Pascal Hitzler, Frederick Maier

Computer Science and Engineering Faculty Publications

We propose a description logic extending SROIQ (the description logic underlying OWL 2 DL) and at the same time encompassing some of the most prominent monotonic and nonmonotonic rule languages, in particular Datalog extended with the answer set semantics. Our proposal could be considered a substantial contribution towards fulfilling the quest for a unifying logic for the Semantic Web. As a case in point, two non-monotonic extensions of description logics considered to be of distinct expressiveness until now are covered in our proposal. In contrast to earlier such proposals, our language has the 'look and feel' of a description logic …

Using Attribute Behavior Diversity To Build Accurate Decision Tree Committees For Microarray Data, Qian Han, Guozhu Dong

Kno.e.sis Publications

DNA microarrays (gene chips), frequently used in biological and medical studies, measure the expressions of thousands of genes per sample. Using microarray data to build accurate classifiers for diseases is an important task. This paper introduces an algorithm, called Committee of Decision Trees by Attribute Behavior Diversity (CABD), to build highly accurate ensembles of decision trees for such data. Since a committee's accuracy is greatly influenced by the diversity among its member classifiers, CABD uses two new ideas to "optimize" that diversity, namely (1) the concept of attribute behavior–based similarity between attributes, and (2) …