NCKU Curriculum Map
1. 2.
3.
STOCHASTIC PROCESSES

This is an introductory course in stochastic processes, which introduces the most fundamental ideas in the area of modeling and analysis of real World phenomena in terms of stochastic processes. The course covers different classes of Markov processes: discrete and continuous-time Markov chains, Brownian motion and renewal processes etc.

Course Goal
A. Communication Skills
B. Creative Problem Solving & Innovation
E. Values, Skills & Professionalism
Course Principle Literacy and Competence
[Competence]
  • 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
  • Values, Skills & Professionalism
  • Undergraduate students should acquire the skills and values required of a true professional
  • 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
    0106/2 H230700 [STAT3007]STOCHASTIC PROCESSES 3.0 N Zen, Mei-Mei
    0102/1 H230700 [STAT3007]STOCHASTIC PROCESSES 3.0 N Zen, Mei-Mei
    0100/2 H230700 [STAT3007]STOCHASTIC PROCESSES 3.0 N Su, Nan-Cheng
    0099/2 H230700 [STAT3007]STOCHASTIC PROCESSES 3.0 N Su, Nan-Cheng