جلسه معرفی آموزش علم داده و کاربرد آن در مسائل شبیه سازی، روز شنبه ساعت 18:30 برگزار می شود.
برای اعلام حضور به نشانی evnd.co/wj4rv مراجعه نمایید.
Syllabus
Part 1: Python for simulation
- How We Can Use Python in Simulation
- Basic Python and Data Types
- Introducing Pandas Library
- Introducing NumPy Library
- Connection of MySQL Database with Python
Part 2: Machine Learning for simulation
- Application of Statistics in Machine Learning
- Basic Concepts in Machine Learning
- Introducing CRISP-DM Methodology in Machine Learning
- Introducing Machine Learning Models
- Aspects of Data Leakage in Machine Learning
- Data Transformations in Machine Learning
- Parameters Tuning Methods in Machine Learning Models
- Application of Machine Learning in Simulation
Part 3: 3D simulation Modeling with FlexSim
- What is simulation analytics
- What is discrete-event simulation
- 3D simulation in Flexsim
- Object-oriented modeling in Flexsim
- Dashboard design for descriptive analytics
- Model library and ToolBox in Flexsim
- Prescriptive analytics with simulation-optimization
Part 4: Digital twin & Network Optimization
- Introducing Digital Twins
- Application of Optimization in Simulation
- Introducing Network Optimization