آموزش تجزیه و تحلیل دادههای فرمول یک: بینشهایی در شبیهسازی مسابقه و تلهمتری - آخرین آپدیت
دانلود F1 Data Analysis : Insights into Race Simulation & Telemetry
F1 Data Analysis for Motorsport Engineers
Learn about motorsports data collection, processing, and its impact on performance. Understand sensors, telemetry software, and real-time data usage. Master lap time simulation techniques for performance and strategy. Gain industry insights for F1 data roles and prepare for career paths through discussion sessions with Motorsport Professionals. Understand the most common mistakes engineers make during data analysis. Gain clarity on how to build a career in simulation and data analysis in motorsports.
پیشنیازها
- Keen interest in learning about F1 Data Analysis
- Familiarity with some Data Analysis concepts
- Familiarity with Motorsports / F1 Racing
This course addresses a wide range of audience, including students and professionals in the automotive field seeking to apply concepts to motorsports / F1.
This course is taught by Ian Wright, who has worked in motorsports for more than 20 years and previously was the Head of Engineering at Mercedes F1 Team.
** Upon completing this course and publishing your certificate on LinkedIn you will receive access to a REAL Data-set from one of the Motorsports team that you can use to practice and build your own race engineering tools**
What's this course all about? Let's begin !!
Section 1: Data is the Gold Mine in F1, but WHY?
Discover how data forms the bedrock of Formula One operations. Learn the fundamentals of data gathering, from transponder technology to in-race sampling, and understand how every fraction of a second counts on track. Explore the critical role of data in ensuring performance and safety, and discuss the challenges of working with vast, fast-paced information streams.
Section 2: Know Your Sensors!!
Demystify sensor technology, understanding how each sensor type works, the data it outputs, and how engineers use this information to fine-tune car setups. Analyze real-world case studies to see how teams leverage sensor data for optimal performance and rapid troubleshooting.
Section 3: All Those Squiggly Lines Mean Something!!
Learn how F1 teams use software (e.g., ATLAS and RaceWatch) to visualize and interpret telemetry data in real time. Tackle time-based vs. distance-based data analysis and pit-loss assessments. Understand how these skills translate to motorsport data engineering roles.
Section 4: How Do You Simulate a Car Around a Track?
Explore lap time simulation, from quasi-static to fully dynamic models. Learn how tire specs, track profiles, and environmental variables feed into these simulations and how they guide engineering choices. A fireside chat provides expert perspectives on global collaboration, model validation, and simulation development.
Section 5: ChassisSim – The Race Engineering Tool That Was Developed Before You Were Born
Get hands-on exposure to ChassisSim and its WatchLog feature. Interpret simulation outputs and assess car behavior under different setups. Analyze data logs to see how changes impact lap times. Participate in group discussions to connect theory to practice.
Section 6: Plan A, B, C, D, E, F-Ferrari
Learn to filter and process vast amounts of real-time information, from logging rates to advanced track modeling. Delve into tire performance and energy usage. Explore Monte Carlo simulations for race scenarios and pit strategies. Cover inertial measurement units (IMUs) and their insights on car dynamics.
Section 7: How Am I Being Beaten on Track?
Analyze competitor data to understand rivals' advantages. Explore Red Bull Racing vs. McLaren case studies. Learn about future trends and receive career guidance to stay on the cutting edge of F1 data analysis.
Section 8 : Additional Data Set for those who complete the course
Complete the course and update your certificate on LinkedIn to gain access to a validated racing data set that can be used to develop your own telemetry analysis tools in python or MATLAB.
Data is the Gold Mine in F1 , but WHY ?
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Introduction to F1 Data Analysis-مقدمهای بر تحلیل دادههای فرمول یک Introduction to F1 Data Analysis
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How do F1 Teams Collect Data ?-تیمهای فرمول یک چگونه داده جمعآوری میکنند؟ How do F1 Teams Collect Data ?
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Discussion Session 1 on Data Collection and Analysis-جلسه بحث و گفتگوی ۱ در مورد جمعآوری و تحلیل داده Discussion Session 1 on Data Collection and Analysis
Know your Sensors !!-حسگرهای خود را بشناسید!! Know your Sensors !!
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Types of Sensors and Application-انواع حسگرها و کاربرد آنها Types of Sensors and Application
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Aero Sensors and Application-حسگرهای آیرودینامیکی و کاربرد آنها Aero Sensors and Application
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Other Important Sensors-سایر حسگرهای مهم Other Important Sensors
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Discussion Session 2 on Sensors and Correlation-جلسه بحث و گفتگوی ۲ در مورد حسگرها و همبستگی Discussion Session 2 on Sensors and Correlation
All those squiggly lines mean something !!-تمام آن خطوط موجدار معنایی دارند!! All those squiggly lines mean something !!
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Telemetry Software’s used in F1-نرمافزارهای تلهمتری استفاده شده در فرمول یک Telemetry Software’s used in F1
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Understanding Telemetry Data-درک دادههای تلهمتری Understanding Telemetry Data
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Discussion Session 3 on Telemetry Data Analysis and Career's in Data Analysis-جلسه بحث و گفتگوی ۳ در مورد تحلیل دادههای تلهمتری و مشاغل در تحلیل داده Discussion Session 3 on Telemetry Data Analysis and Career's in Data Analysis
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Discussion Session 4 on F1 Careers-جلسه بحث و گفتگوی ۴ در مورد مشاغل فرمول یک Discussion Session 4 on F1 Careers
How do you simulate a car around a track ?-چگونه یک ماشین را در اطراف پیست شبیهسازی میکنید؟ How do you simulate a car around a track ?
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Teaching Format for next sessions-قالب تدریس برای جلسات آینده Teaching Format for next sessions
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Introduction to Lap Time Simulation-مقدمهای بر شبیهسازی زمان دور Introduction to Lap Time Simulation
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How do Teams get Tyre and Track Data ?-تیمها چگونه دادههای تایر و پیست را به دست میآورند؟ How do Teams get Tyre and Track Data ?
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Discussion Session 5 on Lap Time Simulation - Part 1-جلسه بحث و گفتگوی ۵ در مورد شبیهسازی زمان دور - بخش ۱ Discussion Session 5 on Lap Time Simulation - Part 1
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Discussion Session 5 on Lap Time Simulation - Part 2-جلسه بحث و گفتگوی ۵ در مورد شبیهسازی زمان دور - بخش ۲ Discussion Session 5 on Lap Time Simulation - Part 2
ChassisSim - The race engineering tool that was developed before you were born-ChassisSim - ابزار مهندسی مسابقه که قبل از تولد شما توسعه یافت ChassisSim - The race engineering tool that was developed before you were born
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Intro to ChassisSim and WatchLog-مقدمهای بر ChassisSim و WatchLog Intro to ChassisSim and WatchLog
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Discussion Session 6 on Lap Time Simulation with ChassisSim-جلسه بحث و گفتگوی ۶ در مورد شبیهسازی زمان دور با ChassisSim Discussion Session 6 on Lap Time Simulation with ChassisSim
Plan A , B , C , D ,E, F-Ferrari-برنامه A، B، C، D، E، F - فراری Plan A , B , C , D ,E, F-Ferrari
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Data Processing-پردازش داده Data Processing
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Race Strategy-استراتژی مسابقه Race Strategy
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Discussion Session 7 on Inertial Measurement Units-جلسه بحث و گفتگوی ۷ در مورد واحدهای اندازهگیری اینرسی Discussion Session 7 on Inertial Measurement Units
How am I being beaten on Track ?-چگونه در پیست شکست میخورم؟ How am I being beaten on Track ?
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RedBull Racing Vs Mclaren Case Study-مطالعه موردی RedBull Racing در مقابل Mclaren RedBull Racing Vs Mclaren Case Study
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Fireside Chat About F1 with Shubh , Ian and Rex-گفتگوی خودمانی در مورد فرمول یک با Shubh ، Ian و Rex Fireside Chat About F1 with Shubh , Ian and Rex
Section 8 : Additional Data Set for those who complete the course-بخش ۸: مجموعه داده اضافی برای کسانی که دوره را تکمیل میکنند Section 8 : Additional Data Set for those who complete the course
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Validated Racing Data Set-مجموعه داده مسابقه تایید شده Validated Racing Data Set
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Lecture 25: How to get started with F1 data analysis using python-درس ۲۵: نحوه شروع تحلیل دادههای فرمول یک با استفاده از پایتون Lecture 25: How to get started with F1 data analysis using python
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Lecture 26: Paid Career Counselling Session with Shub-درس ۲۶: جلسه مشاوره شغلی پولی با شوب Lecture 26: Paid Career Counselling Session with Shub
Shubham Sangodkar
Ian Wright
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