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Course Criteria
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1.00 - 6.00 Credits
Credits: 1-6 Presents special topics in information systems not occurring in regular INFS sequence. Prerequisites Permission of instructor. Notes May be repeated for credit when distinct offerings of course differ in subject. Hours of Lecture or Seminar per week 1-6 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Information systems accessible through web and Internet are becoming prevalent. Course focuses on technologies and industry standards for accessing and manipulating persistent data that are suitable for web applications. Prerequisites INFS 614. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Studies use of object-oriented visual application frameworks in building event-driven windowed systems. Topics include windowed systems as event-driven systems; central architecture of windowed systems and encapsulation of windowed architectures by object-oriented frameworks; and analysis and design of windowed applications. Illustrates various features of visual application frameworks using variety of information systems applications. Programming projects. Prerequisites INFS 650. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Introduction to data mining and motivating challenges. Types of data, measures of similarity and distance. Data exploration and warehousing. Supervised learning. Bias and variance. Classification techniques and their evaluation. Clustering. Association and sequence rule mining. Prerequisites STAT344 or equivalent undergraduate course in probability, INFS 614 or equivalent. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Study of advanced database models and languages, database design theory, transaction processing, recovery, concurrency, distributed database, and security and integrity. Discusses recent developments and research directions. Prerequisites INFS 614. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Studies concepts and systems of object-oriented (OO) databases. Topics include OO design, data models, query languages, new data types, and implementation. Also includes detailed case study and project performed on OO-DBMS. Surveys various prototypes, commercially available systems, and emerging standards. Prerequisites INFS 614 or CS 650, or permission of instructor. Notes Knowledge of object-oriented programming language such as C++ highly desirable. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Addresses knowledge management (KM) from managerial, technical viewpoints in context of large organizations doing business over web and Internet. Topics include KM life cycle for knowledge creation, aggregation, dissemination, and sharing; ontology modeling, design, and engineering; role of standards such as XML, RDF, web services, and semantic web for e-business; business rules and reasoning engines; and digital rights management for e-business. Prerequisites INFS 622 or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Course covers the role of intelligent agents in cooperating to access, harvest, sift and winnow information and knowledge from the semantic web. Topics include agent architectures, practical reasoning and deductive agents, beliefs-desires-intentions (BDI) framework for agent reasoning, commitments and actions; Semantic Web ontology languages, description logics, reasoning and rule languages; and agent communication languages, protocols and standards. Prerequisites INFS 614 Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Cross-Listed with IT 874 This course presents the basic concepts and methodologies for the discipline known as Enterprise IT Architecting within a framework, structure, and methodology. Enterprise IT Architecting is a necessary step for designing and developing a system of information systems. It includes the definition of the business, work, functional, information and technical perspectives. As such, it is the enabling approach for the system development process that builds complex information systems. Prerequisites INFS 622 or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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3.00 Credits
Credits: 3 Cross-Listed with CS 780. Covers advanced algorithms for data management, learning, and mining large, multimedia databases. Issues related to handling such data including feature selection, high dimensional indexing, interactive search and information retrieval, pattern discovery, and scalability to large datasets are discussed. Mining techniques and data types to be covered include texts/web, images, videos, DNA, temporal, spatial, spatiotemporal databases, graph mining, stream mining, and data visualization. Prerequisites INFS 755 or CS 750 or permission of instructor.
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