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