NCKU Curriculum Map
1. 2.
3.
BAYESIAN ANALYSIS

The course covers fundamental probability theory, Bayesian statistics, and Bayesian applications to business/social/medical data. After reviewing probability theory, we intend to cover Bayesian analyses and their applications on business/social/medical science. Each student will expect to run analyses every class period. We also plan to distribute supplementary readings that offer both theoretical and practical discussions of Bayesian statistics in business/social/medical science.

Course Goal
A. Communication Skills
B. Creative Problem Solving & Innovation
E. Values, Skills & Professionalism
Course Principle Literacy and Competence
[Competence]
  • Oral Communication/ Speaking
  • Undergraduate students should be able to communicate effectively in speaking.
  • Written Communication/Writing
  • Undergraduate students should be able to communicate effectively in writing.
  • Creativity and Innovation
  • Undergraduate students should be able to solve strategic problems with creative and innovative approaches
  • Problem Solving
  • Undergraduate students should be able to solve strategic problems with creative and innovative approaches
  • Analytical & Computational Skills
  • Undergraduate students should be able to solve strategic problems with creative and innovative approaches
  • Technical Skills
  • Undergraduate students should acquire the skills and values required of a true professional
    Courses of Recent Years
    Year/
    Semester
    Course
    Number
    Class
    Code
    Course Name
    (The name will link to the syllabus.)
    Credit Taught in English
    (Yes or No)
    Instructor
    0106/1 H232200 [STAT3025]BAYESIAN ANALYSIS 3.0 N Lee, Kuo-Jung