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                 IS 371 QUANTITATIVE ANALYSIS
                 Credit: 3 (3,0,1)   Prerequisite: CS285, IS241
                   This  course  introduces  fundamental  quantitative  methods  used  to  analyze  and  solve
                   various models of business problems. The course presents a set of fundamental theories
                   and concepts including probability theory, time series, mathematical programming, and
                   Markov  processes.  Such  tools  are  then  used  model  and  solve  a  variety  of  business
                   problems in finance, transportation, inventory management, etc. The course aims to equip
                   the student with the necessary knowledge and skills allowing them to perform quantitative
                   analysis to solve some business models including forecasting, distribution, transportation,
                   and inventory models. After completing this course, students are expected to use software
                   tools to solve these common management problems as well as constrained optimization
                   problems. Students will gain some experience in applying these quantitative tools to real-
                   world problems.

                 IS 372 HEALTH-CARE INFORMATION SYSTEMS
                 Credits:  3 (3,1,0)   Prerequisite:   IS 241

                   The course surveys the health-care information systems and applications. Items and topics
                   examined  include  definitions,  evolutions,  trends,  applications,  computerized  patient
                   records, medical decision support systems, clinical information systems, Internet-based
                   medical decision support systems, and computer-based training for health professionals.

                 IS374  TECHNOLOGY AND APPLICATION OF THE INTERNET OF THINGS
                 Credits:  3(3,0,1)   Prerequisite:   CS210

                   This  course  aims  at  a  top-down  as  well  as  a  bottom-up  approach,  thereby  providing
                   students with a comprehensive understanding of the IoT: from a technical viewpoint as
                   well as considering the societal and economic impact of the IoT. This allows students to
                   understand  what IoT technologies are used for today,  and what  is required  in certain
                   scenarios. By looking at a variety of existing and developing technologies and architectural
                   principles,  students  gain  a  better  understanding  of  the  types  of  technologies  that  are
                   available and in use today and can be utilized to implement IoT solutions. Finally, students
                   will be given the opportunity to apply these technologies to tackle scenarios of their choice
                   in teams, using an experimental platform for implementing prototypes and testing them
                   as running applications.


                 IS 433 INFORMATION SYSTEMS DEVELOPMENT
                 Credits:  3(3,0,1)   Prerequisite: IS 231

                   This course is essentially practical in nature. Students are given opportunities to design
                   and construct an operational information system for a real-life application using a unified
                   development  process  (e.g.  RUP:  Rational  Unified  Process),  using  an  object-oriented
                   programming environment, and using the necessary development CASE tools. Guided by
                   the instructor, students work in teams to complete a major development project applying
                   previously learned knowledge in other courses. The projects are presented in class using
                   demonstration and presentation tools.
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