Description
System Simulation Projects with Python. This course teaches you how to design, implement, and analyze system simulations using the Python programming language. Simulation is a powerful method that allows you to study complex systems without the costs and risks of real-world testing. Focusing on practical projects, the course covers modeling processes such as customer arrivals, service times, equipment failures, and delays to test ideas, optimize resources, and understand overall system performance. During the course, participants will step-by-step implement a bank simulation to analyze customer wait times and workforce needs. A production pipeline model is created to investigate efficiency and downtime, and an airport simulation is developed to study queues, scheduling, and delays. The training begins with simple examples and progresses to more complex models. Along the way, topics such as using probability distributions for random events, collecting performance metrics, and interpreting simulation results for decision-making are taught. The ultimate goal is to equip individuals with the skills necessary to build personal simulation models and apply them to solving real-world problems.
What you will learn
- Build Discrete-Event Simulations in Python to model real-world systems such as banks, factories, and airports.
- Using probability distributions to represent random events such as customer arrivals, service times, or equipment failures.
- Analyze simulation outputs to measure performance indicators such as wait times, resource utilization, and system capacity.
- Complete step-by-step design and coding of simulation projects, from assumptions to interpretation of results.
This course is suitable for people who:
- Students, engineers, and professionals who want to learn how to build and analyze system simulations using Python.
- Those interested in Operations Research, Industrial Engineering, Logistics, and Manufacturing.
- Beginners with basic Python knowledge as well as experts looking to apply simulation to real-world projects.
Course details
- Publisher: Udemy
- Instructor: Ralph Rothman Academy
- Training level: Beginner to advanced
- Training duration: 1 hour and 44 minutes
- Number of lessons:
Course syllabus as of 2025/10
Prerequisites for the System Simulation Projects with Python course
- “No advanced background is required to take this course. A basic understanding of Python syntax will help, but everything needed for simulation modeling will be explained step by step. You only need a computer with Python installed, and we will use free libraries and tools throughout the course.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
537 MB
