Udemyintermediateru

Основы телеметрии для шоссейно-кольцевых мотогонок

Learn about telemetry systems in motorsports! Explore their uses and key components for performance analysis and vehicle monitoring.

55m
Certificate
Alexander Shein
Alexander SheinОснователь мотокоманды Boxesmoto. Пилот-инженер-телеметрист

Course Content

Основы телеметрии для шоссейно-кольцевых мотогонок is an intermediate-level Udemy course taught by Alexander Shein. It runs 55m, is taught in Russian, and includes a certificate of completion. It is a paid course, first published May 2020.

Let's dive into the world of motorcycle data! This course provides a foundational understanding of motorcycle telemetry, exploring how data is collected and analyzed to enhance performance.

Here's what we'll cover:

  • Understanding Motorcycle Telemetry: We'll define data acquisition systems and explain why they're called telemetry. Discover the purpose of motorcycle telemetry and the crucial role it plays in modern racing.
  • Components of a Data Acquisition System: Explore the key parts of a data logging system and how these systems are integrated into various racing motorcycles. Learn about the hardware and software involved in capturing valuable performance data.
  • Types of Sensors & Data Capture: Discover the different types of sensors used to monitor a motorcycle's performance. We'll examine the parameters that can be recorded (e.g., speed, throttle position, engine RPM, brake pressure) and how this data is collected.
  • The Role of a Telemetry Specialist: Get an inside look at the work of a telemetry analyst. We'll outline their responsibilities, the skills required to be a successful telemetry engineer, and the support they can offer to riders and teams.
  • Telemetry Report Analysis: We'll analyze a real-world telemetry report from a professional rider in Albacete, dating back to March 2019. This practical example will illustrate how telemetry data is used to identify areas for improvement.

This course offers a concise introduction to motorcycle data analysis. While brief, it lays a solid groundwork. If you have any questions, we're here to help!

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