Multivariate Analysis

Korea University

Course Description

  • Course Name

    Multivariate Analysis

  • Host University

    Korea University

  • Location

    Seoul, South Korea

  • Area of Study

    Industrial Engineering

  • Language Level

    Taught In English

  • Course Level Recommendations

    Upper

    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

    3
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    Introduction

    This course covers the theory and applications of multivariate statistical analysis. Detailed topics include multivariate normal distribution, multivariate regression analysis, principal component analysis, classification models, and multivariate control charts.

    Course Objectives

    To provide knowledge of the theory and applications of multivariate statistical analysis

    Prerequisites & Class Requirements[Important] I suggest not taking this class if you did not take the follwoing courses: Engineering Statistics, Mathematical Statistics, Quality Engineering.

Course Disclaimer

Courses and course hours of instruction are subject to change.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.

Please reference fall and spring course lists as not all courses are taught during both semesters.

Availability of courses is based on enrollment numbers. All students should seek pre-approval for alternate courses in the event of last minute class cancellations

Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.