Faculty associated with Kno.e.sis offer a number of courses that provide the students with a comprehensive background and expertise in relevant research areas including, advanced data management, data integration and analysis, Semantic Web and Service Oriented computing.

• CS 499/699: Web Information Systems (Spring 2008)
  This course covers advanced topics in managing Web-based resources, with a focus on building applications involving heterogeneous data. It will expose students to topics, techniques, and technologies of data, metadata, information, knowledge, and ontologies including the semantic aspects of data, data architectures, Web search and information integration, Web standards, Web 2.0, Semantic Web,and Web 3.0.
  
  
• CS 499/699: Introduction to Information Retrieval (Summer 2008)
  This course covers models for information retrieval, techniques for indexing and searching, algorithms for classification and clustering, latent semantic indexing, link analysis, and ranking.
  
  
• CS 790: Services Science (Winter 2008)
  



• CS 605: Introduction to Database Management Systems



• CS 701: Database Systems and Design
  
  
• CS 705: Introduction to Data Mining (Fall 2007)
  Data mining is concerned with the extraction of novel knowledge from large amounts of data. This course introduces and studies the concepts, issues, tasks, and techniques of data mining. Topics include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, scalability, spatial and sequence mining, privacy, and data mining applications.
  
  
• CS 790: Advanced Data Mining (Winter 2007)
  In this course we will cover advanced topics in data mining. We will study some classic papers as well as some important recent papers, on different types of applications, in this fast evolving field. Topics include sequence mining, text mining, graph mining, data warehouse/cube mining, micro-array gene expression mining, privacy with respect to data mining, sensor network mining, data stream mining, time series mining, web mining, etc. The aim is to prepare you for advanced data mining research and application development.
  
  
• CS 891: Information Retrieval, Extraction, and Management (Winter 2007)
  This course expects an advanced ph.D. student to (i) review background material in the area of Information Retrieval, Extraction, and Management and (ii) develop and deliver a presentation on a mutually acceptable topic.



• CS 790: Semantic Web (Fall 2007)