1. Course Code and Course Name IBM401 / Quantitative Analysis in Business 2.Credit (Lecture hour – Lab. Hour – Self Study) 3(3-0-6) 4.Coordinated Lecturer and Lecturer 4.1Coordinated Lecturer Asst.Prof. Dr W.Chalermkiat (WCK) 4.2Lecturer Asst. Prof. Dr. R. Rathavoot (RR) 4.3Lecturer Aj. P. Pongpat(PP) 4.4Lecturer (IE)
1.Subject Purpose 1)Understand and know how to apply statistical and basic econometrics in evaluating business decisions 2)Describe the main assumptions associated with regression and time series models 3)Understand the effects of violation of importance assumptions underlying regression models 4)Able to detect and correct violations concerning the assumptions of regression and time series model
1.Course Description The unit presents the basic statistical and econometric methodologies in model building and model evaluation in general, and the treatment of autocorrelation, lagged relationship, qualitative variables, multicollinearity and heteroskedasticity, in particular it covers estimation and evaluation of multiple regression models, and testing for the validity of various theories in the areas of business. It also introduces the recent literature on unit root and cointegration in business data analysis.
1.Lesson plan WeekContent Description Study Perio d Learning Activities and Teaching aids media Lecturer 1 19/6 Overview Introduction to Quantitative Analysis 1Lecture Exercise Q&A, PowerPoint/Excel WCK 2 26/6 Basic Probability & Statistics /Linear Programming 2Lecture Exercise Q&A, PowerPoint/Excel IE 3 3/7 Linear Programming3Lecture Exercise Q&A, PowerPoint/Excel IE 4 10/7 Linear Programming4Lecture Exercise Q&A, PowerPoint/Excel IE 5 17/7 Linear Programming5Lecture Exercise Q&A, PowerPoint/Excel IE 6 24/7 Decision Theory /Project Management1 6Lecture Exercise Q&A, PowerPoint/Excel WCK 7 31/7 Project Management2 Test1 7Lecture Exercise Q&A, PowerPoint/Excel WCK 8Midterm8--
1.Lesson plan WeekContent Description Study Period Learning Activities and Teaching aids media Lecturer 9 14/8 Regression Models9Lecture Exercise Q&A, PowerPoint/Excel WCK 10 21/8 Forecasting10Lecture Exercise Q&A, PowerPoint/Excel PP 1 28/8 Inventory Control Models 11Lecture Exercise Q&A, PowerPoint/Excel PP 12 4/9 Transportation and Assignment Model 12Lecture Exercise Q&A, PowerPoint/Excel RR 13 11/9 Network Models13Lecture Exercise Q&A, PowerPoint/Excel RR 14 18/9 Waiting Lines and Queuing Theory Models 14Lecture Exercise Q&A, PowerPoint/Excel RR 15 25/9 Simulation Modeling and Game Theory 15Lecture Exercise Q&A, PowerPoint/Excel RR 16 2/10 Presentation and Wrap Up/Test2 16PresentationWCK 17Final Examination17--
2.Learning Evaluation Plan Learning Skill Evaluation Method Week of Evaluation Score (%) 1, 2, 3, 4, 5 Work assignment1620 1, 2, 3, 4 Class Participations , 2, 3, 5 Midterm Examination , 2, 3, 5 Final Examination1740
1.Course Materials Textbook, Class notes (PowerPoint Slides), Internet Resources 2.Important Textbooks and References Render/Stair/Hana Quantitative Analysis for Management, 10 th edn, Pearson Prentice Hall 2009