Go to login Go to sub menu Go to text

Course summary

  • Type MOOC course
  • Period Always open
  • Learning Time 8hr
  • Course approval method Automatic approval
  • Certificate Issue Online
http://kooc.kaist.ac.kr/modeling-simulation-2
둘러보기
Thumb up 7 Learner 91

Instructor Introduction

  • KAIST 산업및시스템공학과 문일철 교수

Lecture plan

강의
  1. CHAPTER 1 Simulation Engine
    1. Overview of Simulation Environment
    1. Role of Simulation Engine
    1. Data Management
    1. Interface of Repast
    1. Model Registration in Repast
    1. Context in Repast
    1. Modeling Agents in Repast
    1. Modeling Space in Repast
    1. PDF
    1. Chapte 1. Quiz
  2. CHAPTER 2 Advanced Process Oriented Modeling
    1. Finite State Machine
    1. Single Server Queueing
    1. Inhibitor Arc
    1. Simulation of Event Graph
    1. Various Queueing Models
    1. Activity Cycle Diagram
    1. Three Phase Method
    1. PDF
    1. Chapter 2. Quiz
  3. CHAPTER 3 Statistical Analysis
    1. Virtual Experiment
    1. Variable vs. Parameter
    1. Hypothesis Test
    1. Examples of Experiment Design Specification
    1. Meta Model of System
    1. Examples of Standardized Coefficients and Sensitivity Analysis
    1. Reality, Conceptual Model and Computational Model
    1. Verification
    1. Levels of Validation
    1. PDF
    1. Chapter 3. Quiz
  4. CHAPTER 4 Random Sampling
    1. Monte-Carlo Simulation
    1. Random
    1. Random Sampling
    1. Exponential Distribution
    1. Antithetic Variable
    1. Two Random Number Sequences
    1. Variance Comparison with Common Random Number
    1. PDF
    1. Chapter 4. Quiz
  5. ★강의 수강 후 의견을 부탁드리겠습니다.★
    1. 교수님 강의에 대한 별점을 매겨주세요. 여러분의 의견이 많은 도움이 됩니다:D

Additional Info

본 강좌는 Python3 를 기반으로 진행되는 강좌 입니다.
기초적인 내용부터 시작하기 때문에, 누구나 수강할 수 있는 강좌입니다.
-----------------------------------------------------------------------------------------
* 강좌 수료 기준 충족 시 수료증을 제공합니다:)