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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.

  • Fall 2018

    • IS542A Tue 9:30 am - 12:20 pm On-Campus Vetle Torvik 68856
    • IS542B Mon 9:00 am - 11:50 am On-Campus David Dubin 68916
    • IS542C Thu 1:00 pm - 3:50 pm On-Campus David Dubin 70384
  • Spring 2019

    • IS542A Tue 9:30 am - 12:20 pm On-Campus Jill Naiman 67383

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.

  • Fall 2018

    • IS543A Fri 9:00 am - 11:50 am On-Campus Peter Darch 68425
    • IS543B Thu 9:00 am - 11:50 am On-Campus Peter Darch 68426
    • IS543C Mon 9:00 am - 11:50 am On-Campus Jerome McDonough 70385
  • Spring 2019

    • IS543A Tue 4:00 pm - 6:50 pm On-Campus Nicolas LaLone 67384
    • IS543AO Tue 6:00 pm - 8:00 pm Online Jerome McDonough 69162
    • IS543B Mon 1:00 pm - 3:50 pm On-Campus Nicolas LaLone 67631

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.

  • Fall 2018

    • IS561A1 Mon 1:00 pm - 3:30 pm On-Campus Karen Wickett 70875
    • IS561B Tue 4:15 pm - 6:45 pm On-Campus Jodi Schneider 68851
    • IS561C Thu 1:00 pm - 3:30 pm On-Campus Karen Wickett 70386
  • Spring 2019

    • IS561A Mon/Wed 12:00 pm - 1:20 pm On-Campus Karen Wickett 67387
    • IS561AO Mon 5:00 pm - 7:00 pm Online David Dubin 67721
    • IS561B Tue 5:00 pm - 7:30 pm On-Campus Jodi Schneider 67388