Page 78 - คู่มือนักศึกษา 2562 Inter
P. 78

Page 65

                        Student Handbook 2019 International Program               Thai-Nichi Institute of Technology
                        DSA-202      Business Strategic and Performance Management             3(3-0-6)
                        Prerequisite  :  DSA-105 Introduction to Data Science  or
                                     DSA-106 Introduction to Business Data Analytics
                        Corequisite   :  None
                                Essential features of information technology systems. The strategy of data utiliza-
                        tion. Impact of information technology systems to organization structure and processes as
                        well as the effect on strength and strategy of companies. Information systems planning in-
                        cluding budgeting. Management of knowledge derived from data analysis to assess invest-
                        ment and business operations. IT resource allocation, IT risk management and IT strategy.


                        DSA-203      Business Decision Models                                  3(3-0-6)
                        Prerequisite  :  None
                        Corequisite   :  None
                                Principles, techniques and applications of computer-based decision support
                        models for business and industry. Topics include decision trees; linear programming and
                        optimization; other mathematical programming methods; waiting lines and queues; time
                        series analysis and forecasting; inventory modeling and discrete-event simulation. Using
                        spreadsheets or other suitable computer applications to solve designed-models and case
                        studies.
                        DSA-204      Data Analytic for E-Commerce                              3(3-0-6)
                        Prerequisite  :  None
                        Corequisite   :  None
                                Introductory principles and techniques of data analysis for e-Commerce. Explore
                        various indicators and analytical tools for website  tracking;  including online  consumer
                        behavior, order data, product data, and consumer data for predictive and forecast analytics
                        to decision making, planning and strategy, and online marketing etc.
   73   74   75   76   77   78   79   80   81   82   83