Korea University

Course Description

  • Course Name


  • Host University

    Korea University

  • Location

    Seoul, South Korea

  • Area of Study

    Business, Economics

  • Language Level

    Taught In English

  • Prerequisites

    Introductory statistics; Introductory Microeconomics; Introductory Macroeconomics

  • Course Level Recommendations


    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • Credits

  • Recommended U.S. Semester Credits
  • Recommended U.S. Quarter Units
  • Overview

    Course Description:

    ISC 320 is an introductory course in Econometrics which is a core course in economics and introduces the student to the science and art of building and using statistical models in the context of economic analysis and forecasting. The focus is on understanding the fundamental theory underlying regression methods (including estimation, hypothesis testing, and prediction) and learning how to appropriately apply these techniques in the analysis of economic data.

    The overall teaching goals are to help the students build a strong foundation of knowledge in the basic principles of econometrics and to help the students develop critical thinking and problem solving skills in applying these quantitative principles in future scenarios.

    Classroom Expectations and Policies:

    Be a positive contributing member of the class – our class sessions will be a combination of lecture, discussion, and hands on activities. You are expected to participate in a manner that will facilitate your learning as well as the learning of your classmates. Mutual respect and collaborative effort are essential and will be expected at all times. Also, attendance and active participation are expectations that will be documented and credited. Out of respect for your instructor and classmates, please arrive to class on time and turn off cell phones during class. If you miss class, it is your responsibility to find out what you missed.

    While collaboration with classmates is encouraged in this course (unless specifically restricted by the professor), any work actually submitted as a class assignment must represent the ideas, understanding, and the work of the student who submit it for a grade. Any violation of this policy, however minor including the submission of a duplicate of computer output, will be considered as “cheating” and result in a forfeit of the course grade for the parties involved, and further disciplinary actions may be taken.

    Computer software:

    For the examples that require the use of statistical packages, the R package and Excel will be used for in the lecture. However, students may use other packages such as Stata and Minitab, etc. The R can be downloaded for free from

Course Disclaimer

Courses and course hours of instruction are subject to change.