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First Built in 09-21-2003
| Course Name | Description/Projects |
| Aggregating Annotation Inforamtion |
Social Tagging |
| Doctoral Seminar Instructor: Dr. Michael B. Spring Course Code: INFSCI3350 |
Seminar Wiki : Social Annotations Doctoral Seminar There is increased interest in social tagging and social book marking systems. These systems may be viewed in at least three contexts. First, they have been described as a compliment to the semantic web, providing a distributed form of ontology development which might supplement more formal ontology development and classification. We are already beginning to see some convergence in tagging options as more popular tags are recommended. Second, these systems can also be viewed as experiments in the development of social software. Several of the systems that have been introduced have evidenced growth that can be described as viral. What makes some social software so attractive? While the mechanics of viral software are becoming clearer ? exposure, invitations, and word of mouth, what people choose to define as valuable enough to invest in is less clear. For example, what is it that moves Linked-in or del.icio.us from inception to critical mass? Third, these systems may be examined in the context of annotation. The phenomenon of annotation has been observed for centuries, but it was been little studied until the 1980s when Marshall and others began to explore the full potential of digital versus physical annotation. This seminar will explore all these contexts. It is my intent to focus most intensely on the third context ? annotation with a secondary emphasis on the second context ? ¡°virality¡±. Discussion topics include definition of annotation, current status of social annotation systems, necessary features of systems, faceted classification, Social Search, PageRank, Small world network, ontologies, wikipedia, collaborative bookmarking, etc. |
| Course Name | Description/Projects |
| Information Visualization | Visualizing a Knowledge Domain for Digital Libraries |
| Special Topic Instructor: Dr. Sherry Koshman Course Code: LIS 2970 |
Textbook : Information Visualization by Spence, Robert (2001). This course focuses on the visual design, structure, and organization of information as applied to library and information environments. The emphasis is on user and task-centered design for developing and evaluating visualization-based tools for digital libraries, information retrieval, and Web applications. Topics include visual literacy, theories of visual perception and cognition, visualization models (e.g. hyperbolic trees, treemaps), visualization applied to information types (e.g. images, maps, text), data mining, and usability research. For final project, student should build an visualized interface prototype. |
| Qualitative Research Methods | Finding Future of the Semantic Web - Web Context Analysis - |
| Doctoral Seminar Methodology Instructor: Dr. Stuart W. Shulman Course Code: LIS 3600 |
Textbooks : Qualitative Research for the Information Professional: A Practical Handbook (2nd Ed.) by G.E. Gorman & P. Clayton. Qualitative Research: Theory, Method and Practice (2nd Ed.) by D. Silverman. The Qualitative Researcher's Companion by A.M. Huberman and M.B. Miles. Course Blog : Qualitative Research Fluency Blog (CRFBs) This seminar is a hands-on review of the literature, tools and strategies that inform qualitative researchers. Opportunities for interesting qualitative research abound in traditional forms (ex., interview and focus group data or open ended survey answers) and novel new sources (ex., database and web content or blog postings). Each student will learn to use ATLAS.ti, a commercial off-the-shelf (COTS) qualitative data analysis package, and will complete a semester-long research project utilizing ATLAS.ti or a similar COTS product of their choice. |
| Course Name | Description/Projects |
| Knowledge Representation | Ontology on Information Science Domain |
|
Instructor: Dr. Douglas Metzler Course Code: INFSCI 2906 |
Textbooks : Knowledge Representation and Reasoning by Brachman & Levesque (2004). A Semantic Web Primer by Antoniou & van Harmelen (2004). Topics include knowledge representation, Reasoning, First-Order Logic, and Semantic Web. This course provides exercises related to applying logics of reasoning, using xml and xslt, using Protege in building ontology, and building ontology for a domain. |
| Statistical Methods 2 | |
| Methodology Instructor: Dr. Kevin Kim Course Code: PSYED 2016 |
Textbooks : Statistical Methods in Education and Psychology (3rd Ed.) by Glass, G. V., & Hopkins, K. D. (1996). Design and Analysis: a researcher¡¯s handbook (4th Ed.) by Keppel, G., & Wickens, T. D. (2004). This course introduces analysis of variance (ANOVA). Topics include one-way between-subjects ANOVA, two-way between-subjects ANOVA, multi-way between-subjects ANOVA, one-way within-subjects ANOVA, two-way within-subjects ANOVA, mixed ANOVA, simple linear regression, and ANCOVA. Simple effects analyses (simple main effects, simple comparisons, marginal comparisons, interaction contrasts) are also discussed. SPSS for Windows is be used. |
| Adaptive Web | Personalized News Feeds Aggregator |
| Doctoral Seminar Instructor: Dr. Peter Brusilovsky Course Code: INFSCI 3954 |
The goal of the seminar is to get immersed into the world of the Adaptive Web. This seminar is intended to learn about many aspects of AW, get familiar with existing technologies that makes AW possible, and study many examples of modern AW systems. For final project, students should develop their own AW systems as well as to apply modern adaptation and personalization technologies in the context of larger projects. |
| Course Name | Description/Projects |
| Interactive System Design | Self-Organizing Map Tutorial System |
| Instructor: Dr. Peter Brusilovsky Course Code: INFSCI 2470 |
This course deals with necessary hardware, software, and behavioral components of an interactive system; data structure considerations for various types of interactive applications; operating system fundamentals, functions, and characteristics. Emphasis on interactive operating systems, human/machine dialogues, interactive graphics, programming languages, and application(s) design. The goal of this course includes to build a connection between student knolwedge on human information processing and interactive system design practice; to understand the goals, problems and structure of interactive system design process; to analyse major interface paradigms to learn and apply techniques for task analysis and user analysis; to learn principles and gain practical skills of user interface evaluation; to develop an aquaintance with modern GUI and Internet programming techniques; to gain experience in the design and evaluation of practical user interfaces. |
| Knowledge Engineering | Expert System |
| Doctoral Seminar Instructor: Dr. Tatiana Gavrilova Course Code: INFSCI 3961 |
Research on the history of AI domain. Test and analyze different ontology tools. Build ontologies with tools. Build logics for expert systems. |
| Statistical Methods 1 | |
| Methodology Instructor: Dr. Mary Hansen Course Code: PSYED 2014 |
Textbook : Statistical Methods in Education and Psychology (3rd Ed.) by Glass and Hopkins (1996) This course is designed to introduce statistics as a tool for data analysis and to foster their understanding of the role of statistics in the research process. Topics to be covered include: frequency distributions, histograms, stem-and-leaf displays, boxplots, measures of central tendency, measures of variability, standard scores, the normal distribution, scatter diagrams, correlation, and simple linear regression. Basic tool for statistic used in this course is SPSS. |
| Advanced Web Systems | RAPAI(Role Assured Publicly Accessible Information) |
| Independent Study Instructor: Dr. Michael B. Spring Course Code: INFSCI 3921 |
| Course Name | Description/Projects |
| Data Mining | |
| Instructor: Dr. Stephen Hirtle Course Code: INFSCI 2160 |
Textbook : Data Mining: Concepts & Techniques by J. Han and M. Kamber (2000) This course will look at various data mining tools (including Clementine and SPSS) to see how they work and what kinds of knowledge can be discovered. In addition, we will try to separate out the hype which exists in some popular accounts of data mining from the reality of the methods. The course will provide an important foundation for further study in diverse areas, such as information retrieval, cognitive science, and marketing. The techniques discussed are also the foundation of many modern data mining techniques. |
| Database Management | Build a datawarehouse |
|
Instructor: Dr. Vladimir I. Zadorozhny Course Code: INFSCI 2710 |
Textbook : Database Management Systems by Raghu Ramakrishnan and Johannes Gehrke The major focus of this course is on centralized database systems. It also covers more advanced topics including data warehousing and OLAP as well as principles of distributed database systems. Topics covered in this course include Database System Architecture (ANSI/SPARC Architecture; data abstraction; external, conceptual, and internal schemata; data independence); Data models (Entity-relationship and relational data model; SQL); Theory of database design (Functional dependencies; normal forms; dependency preservation; information loss); Data warehousing and OLAP (Multidimensional data model, data extraction, cleaning, summarization; efficient implementation of data warehouses); Storage Strategies (Indices and B-trees); Transaction Management (ACID properties, concurrency control and recovery); Principles of distributed data management (Distributed data storage, query processing, transaction management). |
| Information Storage and Retrieval | Visualization of Document Space |
|
Instructor: Dr. Peter Brusilovsky Course Code: INFSCI 2140 |
Textbooks : Information Storage and Retrieval by Robert R. Korfhage Modern Information Retrieval by Ricardo Baeza-Yates and Berthier Ribeiro-Neto Finding Out About: A Cognitive Perspective on Search Engine Technology and the WWW by Richard K. Belew Introduction to storage and retrieval of textual, pictorial, graphic, and voice data. The focus is on effectively interpreting imprecise queries and providing a high quality response to them from a database of incompletely described "documents." This course is to understand the dimensions of the information retrieval "problem"; to understand the functions of an information retrieval system; to analyse the components of an information retrieval system; to consider the factors which optimize the information retrieval process; and to examine current issues in information retrieval. |
| Information Systems | Build a prototype of the Marketing Team Database |
|
Instructor: Dr. Ken Sochats Course Code: INFSCI 2510 |
Textbook : Systems Analysis and Design (6th Ed.) by Kenneth E. Kendall and Julie E. Kendall The course will provide the student with a working knowledge of the types of information systems and their strengths and weaknesses in solving various business and organization problems. This course emphasizes state-of-the-art, practical techniques for modeling robust, functional and maintainable systems. Emphasis will be on managing requirements using the Unified Modeling Language (UML). This is a ¡®hands-on¡¯ course that offers students ample opportunity to learn industry-standard techniques for analysis and design of information systems. |
| Introduction to Doctoral Research | |
| Doctoral Seminar Instructor: Dr. Paul Munro Course Code: INFSCI 3005 |
This seminar introduces different methodology for research. Faculties from school give brief talks on their research interests and major methodology for their study. For final project, write a research proposal on students' own research interest. |
| Course Name | Description/Projects |
| Data Structures | |
|
Instructor: Dr. James B. D. Joshi Course Code: INFSCI 2610 |
Textbook : Algorithm in C (Parts 1-5 Bundle) by Robert Sedgewick This course provides lectures on theory and application of Data Strucutres, and data and file structures and their appropriateness to various applications. The course deals with introduction to data structures and analysis algorithms, sorting algorithms, searching, and graph algorithms. |
| Document Processing | |
|
Instructor: Dr. Michael B. Spring Course Code: INFSCI 2770 |
Textbook : Platinum Edition Using XHTML, XML, Java 2 by Eric Ladd, Jim O'Donnell, Mike Morgan and Andrew Wyatt At the heart of any system are basic text processing algorithms and the course begins with both a history of document processing and a quick review the functions, packages and libraries that are available. In addition, because the web is a distributed application, the course will look at client server document related protocols (e.g. http). The design of servers will be reviewed to understand the focus of server side programming. The design of clients will be examined to introduce the basic paradigm for spiders and agents. Finally, as time permits we will examine the emerging XML standards and the impact they will have. |
| Information and Coding Theory | |
|
Instructor: Dr. Paul Munro Course Code: INFSCI 2120 |
Textbook : Applied Coding and Information Theory for Engineers by Richard B. Wells This course is divided into two parts. The first part of the term will deal with codes and the second part will deal with information theory. |
| Human Information Processing | |
|
Instructor: Dr. Stephen Hirtle Course Code: INFSCI 2300 |
Textbook : Cognitive Psychology by D. L. Medin, B. H. Ross and A. Markman (2004) Through this course you will become familiar with the research and theories in the field of human information processing and develop the tools necessary to evaluate such research. The focus will be on basic research (e.g., how do we encode, store, and process information; what are the limits on each stage of human information processing; what heuristics are used in processing information), rather than on applied questions. However, at several points during the semester, we will examine studies which show connections to the applied questions. |
| Course Name | Description/Projects |
| Information Architecture | Website for Greensburgh MS Support Group |
|
Instructor: Dr. David Robins Course Code: LIS2635 |
Textbook : Information Architecture for the World Wide Web: Designing Large-Scale Web Sites by Louis Rosenfeld and Peter Morville This course discusses how a website should be designed including identifying and analyzing a current or potential system, creating specifications, developing a navigation systems, developing a labeling system, mocking up a site. For a final project, it requires to deal with an organization and build an official website for them according to their requests and with proper design. |
| Information Policy | Policy analysis on public library and internet public library |
| Special Topic Instructor: Dr. Toni Carbo Course Code: TELCOM2512 |
|
| Introduction to Doctoral Studies | Web Searching Behavior of Elementary School Students |
| Doctoral Seminar Instructor: Dr. Jose-Marie Griffiths Course Code: LIS3000 |
Write a Research Proposal |
| Introduction to Research Methodology | |
| Methodology Instructor: Dr. Richard E. Desmond Course Code: PSYED05602 |
Writing a proposal with various methodology |