Computer Sciences Commons^™

Cs 740-01: Algorithms, Complexity And The Theory Of Computability, Thomas Sudkamp

Computer Science & Engineering Syllabi

No abstract provided.

Cs 242-02: Introduction To Computer Science Iii, Eric Maston

Computer Science & Engineering Syllabi

This is the third and final course in the Introduction to Computer Science series. This course focuses on data structures with abstract data types, such as trees, stacks, queues and tables.

Cs 240-02: Introduction To Computer Science I, Dale E. Nelson

Computer Science & Engineering Syllabi

No abstract provided.

Cyclic Difference Covers, K. T. Arasu, Surinder Sehgal

Mathematics and Statistics Faculty Publications

his paper studies cyclic difference covers in finite cyclic groups and develops several constructions and existence results for these combinatorial structures. The authors investigate conditions under which cyclic difference covers exist, derive new infinite families, and analyze connections with related objects such as difference sets and covering designs. Applications to combinatorial design theory and coding-related constructions are also discussed.

Multivariate Analysis Of Prokaryotic Amino Acid Usage Bias: A Computational Method For Understanding Protein Building Block Selection In Primitive Organisms, Douglas Whitmore Raiford Iii

Browse all Theses and Dissertations

Organisms expend a significant fraction of their overall energy budget in the creation of proteins, particularly for those that are produced in large quantities. Recent research has demonstrated that genes encoding these proteins are shaped by natural selection to produce the proteins with low cost building blocks (amino acids) whenever possible. The negative correlation between protein production rate and their energetic costs has been established for two bacterial genomes: Escherichia coli and Bacillus subtilis. This thesis provides scientific validation of this theory by automating the analysis and extending the research to additional genomes. Investigations into building block selection are highly …

Pattern Recognition Via Machine Learning With Genetic Decision-Programming, Carl C. Hoff

Browse all Theses and Dissertations

In the intersection of pattern recognition, machine learning, and evolutionary computation is a new search technique by which computers might program themselves. That technique is called genetic decision-programming. A computer can gain the ability to distinguish among the things that it needs to recognize by using genetic decision-programming for pattern discovery and concept learning. Those patterns and concepts can be easily encoded in the spines of a decision program (tree or diagram). A spine consists of two parts: (1) the test-outcome pairs along a path from the program's root to any of its leaves and (2) the conclusion in that …

Nichtmonotone, Neuro-Symbolische Und Begriffliche Wissensverarbeitung, Pascal Hitzler

Computer Science and Engineering Faculty Publications

Diese Schrift dient dem Bericht uber die Hauptaspekte meiner Forschertatigkeit an der TU Dresden seit der Promotion. In diesen dreieinhalb Jahren war es mein Bestreben, selbststandig aktuelle, theoretisch fundierte und anwendungsbezogene Fragestellungen zu entwickeln und zu verfolgen.

Naturgemaß war meine Forschung in dieser Zeit vor allem zu Anfang sehr explorativ. Meine Suche konzentrierte sich dabei auf das Herausarbeiten theoretischer Zusammenhange. Ob ich einen Ansatz dann weiterverfolgte entschied sich anschließend aufgrund einer Evaluation aus angewandter Sicht.

Die in dieser Schrift dargestellten Forschungsansatze gedenke ich in Zukunft fortzufuhren. Sie bilden die Keimzellen fur langfristig angelegte angewandte und theoretische Untersuchungen. Ich werde in …

Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 21, Number 3, November 2004, College Of Engineering And Computer Science, Wright State University

BITs and PCs Newsletter

An eight page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.

Semantic Web Technology In Support Of Bioinformatics For Glycan Expression, Amit P. Sheth, William S. York, Christopher Thomas, Meenakshi Nagarajan, John A. Miller, Krzysztof Kochut, Satya S. Sahoo, Xiaochuan Yi

Kno.e.sis Publications

Due to the complexity of biological systems, interpretation of data obtained by a single experimental approach can often be interpreted only if viewed from a broader context, taking into account the information obtained by many diverse techniques. The vast amount of interpreted experimental data that is now available via the internet opens the possibility of collecting the relevant pieces of information that will enable scientists to form hypotheses based on the integration of this diverse information. However, the sheer volume of data that is available makes it very difficult to select the information necessary to make a coherent model of …

Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 21, Number 2, October 2004, College Of Engineering And Computer Science, Wright State University

BITs and PCs Newsletter

An eight page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.

Ceg 361/561-01: 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 testing documentation, i.e., software test plan, to include 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.

Cs 410/610: Theoretical Foundations Of Computing, Thomas Sudkamp

Computer Science & Engineering Syllabi

This course is an introduction to one of the fundamental topics in the theory of computer science: computability theory. Computability theory is concerned with determining whether there is an algorithmic solution to a problem. The study of computability uses the Turing machine as the basic computational model. A Turing machine is a random access, read-write, finite state automaton. The Church-Turing thesis asserts that any problem that can be solved in any algorithmic manner can be solved by a Turing machine.

Ceg 770: Computer Engineering Mathematics, Yong Pei

Computer Science & Engineering Syllabi

Computer Engineering and Science students need proficiency in relevant applied mathematics to be able to discover and model difficult real-world computer engineering and science problems. The relationship of these problems to mathematical theory will be discussed. This course provides an introduction to linear and nonlinear programming, queueing theory, mathematics of signal processing, difference equations, and related differential and matrix equations. In addition to mathematical theory, appropriate applications will be presented.

Cs 240: Introduction To Computer Science I, Dale E. Nelson

Computer Science & Engineering Syllabi

No abstract provided.

Lsdis: Large Scale Distributed Information Systems Lab, Amit P. Sheth

Kno.e.sis Publications

The LSDIS (Large Scale Distributed Information Systems) lab was established in 1994 with the guidance and direction provided by Dr. Amit P. Sheth with the help of Dr. John A. Miller and Dr. Krzysztof J. Kochut. In 1998 this faculty group was further strengthened by the addition of Dr. Ismailcem B. Arpinar. LSDIS is the largest research group in Computer Science at UGA and one of the strongest in its area. During Fall 2004, it is funding 15 students (majority of them PhD), and has one research staff.

Over the years LSDIS has been actively involved in research projects in …

Ceg 434/634: Concurrent Software Design, Thomas C. Hartrum

Computer Science & Engineering Syllabi

This course provides an introduction to concurrent program design in the UNIX environment. Classical problems of synchronization, concurrency, and their solutions are examined through course projects and through readings on operating system design.

Ceg 449/699: Mobile Computing, Yong Pei

Computer Science & Engineering Syllabi

This senior/graduate course provides an in-depth study of networking protocol and system design in the area of wireless networking and mobile computing. It will help students in the networking area establish a solid foundation in wireless networking protocols, fundamental concepts and principles. It will also introduce students to a few hot topics in wireless networking and mobile computing research.

The course will start with a review over fundamental design challenges, architectural principles and philosophy for the Internet and heterogeneous networks. The focus will then move on to an in-depth examination of wireless networking protocols, and system design techniques for mobile …

Ceg 220: Introduction To C Programming For Engineers I, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course provides a general introduction to computers as a problem solving tool using the C programming language. Emphasis is on algorithms and techniques useful to engineers. Topics include data representation, debugging, and program verification. Some programming assignments may involve complex arithmetic and trigonometric exponential functions.

Ceg 360/560 Ee 415/651: 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.

Cs 405/605: Introduction To Database Management Systems, Soon M. Chung

Computer Science & Engineering Syllabi

Survey of logical and physical aspects of database management systems. Entity Relationship, relational, object-oriented models for databases are presented. Physical implementation methods are discussed.

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.

Cs 409/609: Principles Of Artificial Intelligence, Michael T. Cox

Computer Science & Engineering Syllabi

"Principles of Artificial Intelligence" is a graduate/undergraduate level introductory course in Artificial Intelligence (AI), designed for students interested in or specializing in AL We will cover several basic topics ranging from knowledge representation, inference, problem solving, search, the predicate calculus and other fundamentals of AI, to selected topics concerning intelligent agents, natural language processing, planning, learning, and case-based reasoning. The intent of the course is to provide a background in artificial intelligence, an exposure to the major issues and methods in the field, and experience in writing AI programs. The course will also examine real AI systems and allow the …

Cs 480/680: Comparative Languages, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

No abstract provided.

Cs 205: Computer Literacy And Office Automation, Kim Gros

Computer Science & Engineering Syllabi

To understand basic computer operations and the principal components of a computer and connected peripheral devices

To understand and examine current operating systems, software utilities, device drivers and application software

To define and understand current storage technology and learn about logical file storage and management

To become proficient in using application software categories that are covered in the seven modules

To understand the basics of e-mail

To introduce networking concepts including the Internet and its components and web browser basics

To learn ways to protect your data and avoid computer disasters

Ceg 460/660: Introduction To Software Computer Engineering, Robert J. Weber

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. Hands-on experience is emphasized through the use of homework and a class project.

Cs 780: Compiler Design And Construction I, Krishnaprasad Thirunarayan

Computer Science & Engineering Syllabi

This course deals with the theory and practice of compiler design. Topics emphasized are scanning and parsing. If time permits, semantic analysis will also be covered.

Cs 208: Computer Programming For Business With Java, I, Robert Rea

Computer Science & Engineering Syllabi

CS 208 is the first 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 an intermediate-level of programming in Java. This course assumes students have never written a program before.

Ceg 702: Advanced Computer Communications, Daniel C. Lee

Computer Science & Engineering Syllabi

The general objective of this graduate-level course on advanced computer communication and networking technologies is to develop students' abilities to (1) conduct research in the area of computer networks and (2) innovate network technologies. This objective will be achieved through a reading/lecture/discussion component and a project component. In particular, we will read papers on various aspects of advanced computer networking, e.g., routing, admission control, congestion/flow control, queuing theory, link scheduling, internetworking, wireless technologies, quality of service, and peer-to-peer networks. We will also learn how to apply (mathematical) optimization to networking.

Cs 340: Programming Language Workshop In Java, Ronald F. Taylor

Computer Science & Engineering Syllabi

This course is designed as a self-study in Java. You are expected to work independently to learn the Java language and solve a set of programming problems assigned to you using latest Java SDK available at http://fuva.stm.com. There are no exams. We officially meet only once in a quarter. However, I will be available in the posted office hours for clarifications and general discussion of the programming assignments. Do not expect support in debugging badly documented code.

Ceg 720: Computer Architecture I, 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, interconnection networks, and fault-tolerant computing. 3 hours lecture and 2 hours lab.