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IS 542 Data, Statistical Models, and Information

An introduction to statistical and probabilistic models as they pertain to quantifying information, assessing information quality, and principled application of information to decision making, with focus on model selection and gauging model quality. The course reviews relevant results from probability theory, parametric and non-parametric predictive models, as well as extensions of these models for unsupervised learning. Applications of statistical and probabilistic models to tasks in information management (e.g. prediction, ranking, and data reduction) are emphasized.

  • Spring 2020

    • IS542A Fri 2:00 pm - 4:50 pm On-Campus Philip Bosch 67383
    • IS542AO Wed 6:00 pm - 8:00 pm Online Jill Naiman 69161
  • Fall 2019

    • IS542A Tue 9:30 am - 12:20 pm On-Campus Chenyue Jiao, Xiaoliang Jiang, Vetle Torvik 68856
    • IS542AO Thu 5:30 pm - 7:30 pm Online Jill Naiman 70330
    • IS542B Tue 1:00 pm - 3:50 pm On-Campus William Underwood, Pingjing Yang 68916

IS 543 Sociotechnical Information Systems

The character, success, and costs/benefits of information technologies are socio-technical matters. Because of this, best practice for IT design and integration relies on participants' ability to understand and create for the totality of those settings, including social and technical dimensions. This course provides students with analytic tools for examining socio-technical settings and experience in applying that knowledge in IT modeling, design and management.

  • Spring 2020

    • IS543A Fri 9:00 am - 11:50 am On-Campus Peter Darch 67384
    • IS543B Mon 9:00 am - 11:50 am On-Campus Jessie Chin 67631
    • IS543AO Mon 5:00 pm - 7:00 pm Online Jerome McDonough 69162
  • Fall 2019

    • IS543A Tue 9:00 am - 11:50 am On-Campus Peter Darch, Mary Bloch 68425
    • IS543AO Mon 5:00 pm - 7:00 pm Online Jessie Chin, Jerome McDonough 68982

IS 561 Information Modeling

An introduction to the foundations of information modeling methods used in current digital library applications. The specific methods considered include relational database design, conceptual modeling, markup systems, and ontologies. The basic concepts underlying these methods are, respectively, relations, entities, grammars, and logic. Implementations include relational database design, ER/EER/UML diagrams, XML markup languages, and RDF/OWL semantic web languages. First order logic is emphasized throughout as the foundational framework for information modeling in general, and for contemporary web-based information management and delivery systems (including semantic web technologies) in particular.

  • Spring 2020

    • IS561A Mon 2:00 pm - 4:50 pm On-Campus Haci Kilicoglu 67387
    • IS561AO Tue 5:00 pm - 7:00 pm Online Jacob Jett 67721
    • IS561B Fri 9:00 am - 11:50 am On-Campus Haci Kilicoglu 67388
  • Fall 2019

    • IS561A Fri 9:00 am - 11:20 am On-Campus Karen Wickett, Aditya Chanodia, Haci Kilicoglu 68783
    • IS561B Fri 1:00 pm - 3:20 pm On-Campus David Dubin, Jodi Schneider, Liri Fang 68851
    • IS561C Fri 5:00 pm - 7:20 pm On-Campus Jodi Schneider, Liri Fang, David Dubin 70386