Computer Sciences Commons^™

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

Computer Science & Engineering Syllabi

No abstract provided.

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 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.

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) …

Twitris+: Social Media Analytics Platform For Effective Coordination, Gary Alan Smith, Amit P. Sheth, Ashutosh Sopan Jadhav, Hemant Purohit, Lu Chen, Michael Cooney, Pavan Kapanipathi, Pramod Anantharam, Pramod Koneru, Wenbo Wang

Kno.e.sis Publications

Twitris+ is a Semantic Social Media analytics platform to provide technologies for analyzing large-scale social media streams across Spatio-Temporal-Thematic (STT) and People-Content-Network (PCN) dimensions. It provides holistic situational awareness from one interface and enables organizational actors to engage in well-coordinated ways for desired tasks during emergency response.