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IS 504 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.

Previously IS543.

  • Spring 2020

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

IS 507 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.

Previously IS542.

  • Spring 2020

    • IS542A - Data, Stat, Info Fri 2:00 pm - 4:50 pm
      On-Campus Philip Bosch 67383
    • IS542AO - Data, Stat, Info Wed 6:00 pm - 8:00 pm
      Online Jill Naiman 69161

IS 515 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.

Previously IS561.

  • Spring 2020

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