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Infomation of Course

Program Master/Doctorate [석/박사과정] Course Type Elective(Graduate) [ 선택(석/박사) ]
Course Code 42.881 Course No MSB881
Section A English English
L:L:C(AU) 3:0:3.0(0) Exam time
Wed: 09:00~11:45
Course Title Advanced Special TopicsⅠin Business and Technology Management<Business Analytics> [ 고급 기술경영 특수논제Ⅰ<경영분석> ]
Class time
Mon: 10:30~12:00 / (N22)Alumni Venture Bldg. [ (N22)동문창업관 ] (101)
Wed: 10:30~12:00 / (N22)Alumni Venture Bldg. [ (N22)동문창업관 ] (101)

Information of Professor

Name 이철호(Lee, Chul Ho)
Department 기술경영학부(School of Business and Technology Management)
Phone N/A

Plan of Lecture

Syllabus File Chul Ho Lee_Syllabus_MSB881_Fall2017.pdf
Syllabus URL
Summary of Lecture This course provides master level and Ph.D. level students with knowledge to empirically estimate and interpret outcomes from commonly used econometric techniques that will be an invaluable supplement for their future study. The topics to be discussed are mainly intended for marketing and Information Systems, but the door opens for any graduate students who want to learn basic to more advanced empirical methods. In addition, the students will learn how to read, organize, clean, and store large datasets and use them in estimation. The computer package to be mainly lectured in class will be STATA. Students are allowed to use other packages such as R or Matlab for their assignments.
Material for Teaching - Main textbook : Wooldridge, J. M. Introductory Econometrics: A Modern Approach, 4th Ed. South-
Western CENGAGE Learning
- Auxiliary textbook : Wooldridge, J.M. Econometric Analysis of Cross Section and Panel Data, 1st Ed. The
MIT Press
Evaluation Criteria * The followings evaluation criteria may change:
A. Attendance: 15 % B. Midterm exam: % C. Final exam: % D.Quiz: %
E. Report: % F. Assignments: 30 % G. Project: 25 % H.Presentation: 20 % I. Attitude (in Discussion: 10%
* Limitations on course retaking, if any:
Lecture Schedule Refer to the syllabus