Page 300 - 2016-2018 Graduate Catalog (Revised)
P. 300

with  emphasis  on  the  database  component.  Issues  of  intelligent
               databases will be discussed. A database project will be required.

               INSS   655    HUMAN                           INFORMATION
               PROCESSING
               Former course number   555       Prerequisites:   INSS  615    or
               consent of the Instructor
                                      Credit 3
               This course will examine human information processing capabilities and
               limitations  as  they  relate  to  the  design,  development,  and
               implementation  of  information  systems.  Artificial  intelligent
               methodologies  for  the  emulation  and  enhancement  of  human
               information  processing  will  be  examined.  Expert  system,  neural  net,
               and natural language processing will be discussed.

               INSS      658     HEALTH INFORMATICS
               Prerequisite: Graduate Standing
                        Credit 3
               This course provides a state-of-the-art view of how health information
               is stored, organized, retrieved and used. The course examines emerging
               trends  in  information  technology,  and  provides  students  with  the
               knowledge and skill-set to function effectively in the modern healthcare
               IT environment. Students will study health information applications in
               hospitals,  clinics,  public  health  settings,  government  repositories,
               Internet, and on CD-ROMs. Emphasis will be on the use and analysis of
               health  information  by  patients/consumers,  professionals  and
               governments.

               INSS   662       DECISION  SUPPORT  AND  INTELLIGENT  DECISION
               SYSTEM
               Prerequisites:   INSS 650
               Credit 3
               This course explores how computers can be used to aid decision makers
               in dealing with unstructured and other complex problems. Students will
               learn  the  characteristics,  use,  and  development  of  decision  support
               systems  (DSS)  within  the  context  of  other  business  information
               systems.  Theoretical  and  practical  perspectives  on  business
               intelligence,  knowledge  management,  artificial  intelligence,  visual
               languages, and agent-based computing, as well as other appropriate
               material will be used to facilitate the design and implementation of DSS



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