Page 81 - SH 2561 INTER
P. 81

68 | P a g e

               DSA-303        Introduction to Quantitative Methods                     3(3-0-6)
               Prerequisite  :   No
               Corequisite   :     No
                       Study  and  discuss  concepts  and  theories  of  quantitative  methods.  Apply  quantitative
               techniques and build a model for business decision making. Study the process and advantages of
               mathematical  quantitative  techniques  such  as  probability,  decision  trees,  inventory  model,  game
               theory, queuing and simulation.

               DSA-304        Big Data Analytics                                       3(3-0-6)
               Prerequisite  :   No
               Corequisite   :     No
                       Principles and techniques for big data analysis. Topics include application and tool for data
               analytic, principles to data analytic and visualization for business such as graph and chart.

               DSA-305        Database Systems                                         3(3-0-6)
               Prerequisite  :   DSA-103 Object-Oriented Programming
               Corequisite   :     DSA-306 Database Systems Laboratory
                       Database design and the use of databases in applications, with a short introduction to the
               internal relational database engines. It includes extensive coverage of the relational model, relational
               algebra,  and  SQL.  Additional  key  database  topics  from  the  development  perspective  are  also
               covered, including indexes, views, transactions, and integrity constraints. Database backup, recovery
               and security.

               DSA-306        Database Systems Laboratory                              1(0-3-2)
               Prerequisite  :   DSA-104 Object-Oriented Programming Laboratory
               Corequisite   :     DSA-305 Database Systems
                       Practice  designing  database  and  apply  them  in  applications.  This  course  will  briefly
               introduce internal relational database engines. It includes extensive coverage of the relational model,
               relational  algebra,  and  SQL.  The  course  also  features  database  design  and  relational  design
               principles based on dependencies  and normal forms.  There will be  a programming project  which
               explores database design and management by utilizing appropriate features of SQL.
   76   77   78   79   80   81   82   83   84   85   86