Computer Sciences Commons^™

Empowering Translational Research Using Semantic Web Technologies, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Sa-Rest: Using Semantics To Empower Restful Services And Smashups With Better Interoperability And Mediation, Karthik Gomadam, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Dynamic And Agile Soa Using Sawsdl, Karthik Gomadam, Kunal Verma, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

A Framework To Support Spatial, Temporal And Thematic Analytics Over Semantic Web Data, Matthew Perry, Amit P. Sheth

Kno.e.sis Publications

Spatial and temporal data are critical components in many applications. This is especially true in analytical applications ranging from scientific discovery to national security and criminal investigation. The analytical process often requires uncovering and analyzing complex thematic relationships between disparate people, places and events. Fundamentally new query operators based on the graph structure of Semantic Web data models, such as semantic associations, are proving useful for this purpose. However, these analysis mechanisms are primarily intended for thematic relationships. In this paper, we describe a framework built around the RDF data model for analysis of thematic, spatial and temporal relationships between …

All Elephants Are Bigger Than All Mice, Sebastian Rudolph, Markus Krotzsch, Pascal Hitzler

Computer Science and Engineering Faculty Publications

We investigate the concept product as an expressive feature for description logics (DLs). While this construct allows us to express an arguably very common and natural type of statement, it can be simulated only by the very expressive DL SROIQ for which no tight worst-case complexity is known. However, we show that concept products can also be added to the DLs SHOIQ and SHOI, and to the tractable DL EL⁺⁺ without increasing the worst-case complexities in any of those cases. We therefore argue that concept products provide practically relevant expressivity at little cost, making them a good candidate …

Ws3: International Workshop On Context-Enabled Source And Service Selection, Integration And Adaptation, Quan Z. Sheng, Ullas Nambiar, Amit P. Sheth, Biplav Srivastava, Zakaria Maamr, Said Elnaffar

Kno.e.sis Publications

This write-up provides a summary of the International Workshop on Context enabled Source and Service Selection, Integration and Adaptation (CSSSIA 2008), organized in conjunction with WWW2008, at Beijing, China on April 22nd 2008. We outline the motivation for organizing the work-shop, briefly describe the organizational details and program of the workshop, and summarize each of the papers accepted by the workshop. More information about the workshop can be found at http://www.cs.adelaide.edu.au/∼csssia08/.

Rdb2rdf: Incorporating Domain Semantics In Structured Data, Satya S. Sahoo

Kno.e.sis Publications

No abstract provided.

Artist Ranking Through Analysis Of On-Line Community Comments, Julia Grace, Daniel Gruhl, Kevin Haas, Meenakshi Nagarajan, Christine Robson, Nachiketa Sahoo

Kno.e.sis Publications

We describe an approach to measure the popularity of music tracks, albums and artists by analyzing the comments of music listeners in social networking online communities such as MySpace. This measure of popularity appears to be more accurate than the traditional measure based on album sales figures, as demonstrated by our focus group study. We faced many challenges in our attempt to generate a popularity ranking from the user comments on social networking sites, e.g., broken English sentences, comment spam, etc. We discuss the steps we took to overcome these challenges and describe an end to end system for generating …

Cs 141-01: Computer Programming - I, Jay Dejongh

Computer Science & Engineering Syllabi

This course provides a general introduction to the fundamentals of computer 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. Prerequisite: MTH 127 (College Algebra) or equivalent.

Cs 400/600: Data Structures And Algorithms, Eric Maston

Computer Science & Engineering Syllabi

This is the initial course in the understanding of data structures. This course focuses on data structures with abstract data types, such as trees, stacks, queues and graphs. The course will use projects to create a deeper understanding of data structure and their use.

Cs 712: Advanced Topics In Artificial Intelligence: Inference Graphical Models, Shaojun Wang

Computer Science & Engineering Syllabi

No abstract provided.

Cs/Mth 316/516: Numerical Methods For Digital Computers - I, Ronald F. Taylor

Computer Science & Engineering Syllabi

Introduction to numerical methods used in the sciences. Methods of interpolation, data smoothing, functional approximation, numerical differentiation and integration. Solution techniques for linear and nonlinear equations. Discussion of sources of error in numerical methods. Applications to engineering, science, and applied mathematics are an integral part of the course. Special topics presented as schedule permits. 4 credit hours.

Cs 772: Advanced Natural Language Processing Concepts, Shaojun Wang

Computer Science & Engineering Syllabi

No abstract provided.

Cs 790: Special Topics On Image Processing: Algorithms, Languages, And Architectures, Nikolaos Bourbakis

Computer Science & Engineering Syllabi

Introduction~ Image Processing Operators and Morphology; Image Transformations; Image Processing Languages; Image Coding and Compression; Image Encryption and Hiding; Digital TV and Video.

Cs/Bio 271: Introduction To Bioinformatics, Michael L. Raymer, Dan E. Krane

Computer Science & Engineering Syllabi

No abstract provided.

Cs 207: Advanced Office Productivity Ii, Amanda Hood

Computer Science & Engineering Syllabi

This course covers post-advanced microcomputer applications including Microsoft Office Word 2007, Excel 2007, Access 2007, and PowerPoint 2007. Topics include: creating an online form, working with macros and Visual Basic for Applications (VBA), working with a master document, and index and a table of contents, linking an Excel worksheet and charting its data in Word, formula auditing, data validation, and complex problem solving in Excel, importing data into Excel, working with PivotCharts, PivotTables, and trendlines in Excel, creating a PivotTable List, advanced Access report and form techniques, and creating a multi-page form, administering a database system, creating a self-running presentation …

Cs 208-01: Computer Programming For Business I, David M. Hutchison

Computer Science & Engineering Syllabi

CS 208 Is the first in a sequence of two programming classes required for MIS majors. This course will introduce students to the basic concepts of programming. Examples are from business applications and display graphics and emphasis is on problem solving with the computer as a tool.

Cs 240-02: Computer Programming I, Jay Dejongh

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.

Cs 466/666: Introduction To Formal Languages, Guozhu Dong

Computer Science & Engineering Syllabi

CS 4661666 is an introduction to formal language and automata theory. In this course we will examine methods for defining syntax of languages and recognizing patterns: the syntax of languages can be defined using grammars and patterns accepted by finite state machines. Along with presenting the fundamentals of these two topics, the course will develop and investigate the relationships between language definition and pattern recognition. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science, by Thomas Sudkamp.

Cs 790-01: Multimedia Coding And Communication (Ii), Yong Pei

Computer Science & Engineering Syllabi

No abstract provided.

Cs 340: 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 Dietel et al using Python available from http://www.python.org. There are no exams. We officially meet only once in the quarter. However, I will be available in the posted office hours for clarifications and discussions about the programming problems.

Cs 205-08: Introduction To Computers And Office Productivity Software, Kim Gros

Computer Science & Engineering Syllabi

Focus on learning MS Office software applications including word processing (intermediate), 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 240-01: Computer Programming I, Jay Dejongh

Computer Science & Engineering Syllabi

Basic concepts of programming and programming languages are introduced. Emphasis is on structured programming and stepwise refinement. Prerequisite: MTH 130 or MPL 5.

Cs 350/550: Computational Tools And Techniques For Data Analysis, Ronald F. Taylor

Computer Science & Engineering Syllabi

Introduction to the representation, visualization, and modeling of large data sets. Data analysis using standard high level software tools. Topics include data filtering, clustering, classification, and data mining. A familiarity with Excel is assumed plus some exposure to programming in languages such as CIC++ or Java. Knowledge of basic statistics is useful but not required. Material covered will be relevant to applications areas in science and engineering. Four credit hours.

Cs 242: Introduction To Computer Science Iii, Haiyun Bian

Computer Science & Engineering Syllabi

No abstract provided.

Cs 241: Computer Programming Ii, Travis E. Doom

Computer Science & Engineering Syllabi

A continuation of CS240. The emphasis is on data abstraction and software engineering. Prerequisite: CS240.

Cs 405/605-01: Introduction To Database Management Systems, Guozhu Dong

Computer Science & Engineering Syllabi

Survey of logical and physical aspects of database management systems. Data models including entity-relationship (ER) and relational are presented. Physical implementation (data organization and indexing) methods are discussed. Query languages including SOL, relational algebra, relational calculus, and QBE are introduced. Students will also gain experience in creating and manipulating a database. The course is mostly concerned with the design and querying of databases. A follow up course, CS701, is concerned with the design of system functions for managing databases.

Cs 801: Advanced Database Systems, Soon M. Chung

Computer Science & Engineering Syllabi

Introduction of current trends and research issues in database systems.

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

Computer Science & Engineering Syllabi

The objective of this course is to use the formal algorithmic system provided by Turing machines as a tool to analyze the complexity of decision and optimization problems and the algorithms that solve them. The topics to be covered include

• the definition of the time and space complexity of a deterministic algorithm
• the classes of deterministic polynomial and non-polynomial time languages
• the complexity of nondeterministic algorithms
• the P=NP question (relationship between solvability by deterministic and nondeterministic polynomial time algorithms)
• the implications of a solution to the P=NP question
• NP completeness and examples of NP …

Cs 206-01: Advanced Concepts/Techniques And Software Productivity Tools, John P. Herzog

Computer Science & Engineering Syllabi

By the end of this course, the students will have a greater depth of understanding in the areas of word processing, spreadsheets, databases, and presentation software and web design using Microsoft Word, Microsoft SharePoint, Microsoft Excel, Access, and PowerPoint covering the following topics.
Microsoft Excel 2007:
Chapter 4: Creating Loan Information
Chapter 5: Working With Lists, Working With Logical Functions
Chapter 6: Working With Multiple Worksheets And Workbooks, Database Functions,
And Filtering, And Integrating Excel with Other Window Programs
Microsoft Access 2007:
Chapter 4: Enhancing a Table's Design, and Creating Advanced Queries, Creating
Custom Reports
Chapter 5: Creating Custom Forms …