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Syllabus

Infomation of Course

Program Common [공통(상호인정)] Course Type Elective(Graduate) [ 선택(석/박사) ]
Course Code 81.512 Course No ITM512
Section English
L:L:C(AU) 3:0:3.0(0) Exam time
(classroom)
Course Title Data Analysis with Open Software [ 공개 소프트웨어를 이용한 데이터 분석 ]
Class time
(classroom)
Fri: 19:00~22:00 / (N22)Alumni Venture Bldg. [ (N22)동문창업관 ] (101호)
Notice Education 4.0

Information of Professor

Name 권영선(Youngsun, Kwon)
Department 기술경영학부(School of Business and Technology Management)
Phone 042-350-6312
E-Mail yokwon@kaist.ac.kr

Plan of Lecture

Syllabus File itm512syllabus.pdf
Syllabus URL
Summary of Lecture This course is tailored for I&TM graduate students. This course is also offered as an Education 4.0 format. In this course, students learn Econometrics, a field of economics in which students estimate (or quantify) relationships or correlations between economic variables (features in machine learning) by utilizing regression analysis. The objective of this course is to give students an opportunity to learn basic theories and skills for various econometric methodologies and to enable them to use R open software for empirical research. After taking this course, students will be to test economic theories and various hypotheses using data collected in the real world and to answer positive (not normative) economic questions. In classes, students spend more time for doing practices with cases than listening lectures.
Material for Teaching
Evaluation Criteria
Lecture Schedule
Memo Korean is used in this course because this course is developed for ITM.
혼합유형(비실시간 원격+실시간 원격)