What Are Swim Training Patterns? Breaking Math podcast

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What are Swim Training Patterns?

19h ago 45:54

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In this conversation, Dr. Christoph Bartneck discusses the intersection of swimming and computer science, exploring how mathematical patterns can enhance swim training. He introduces the concept of a formal swim markup language to improve data exchange and training efficiency. The discussion also delves into the visualization of swimming techniques, the importance of mental engagement in training, and the aesthetic appeal of mathematics. Christoph shares insights on the challenges of writing his book and his vision for creating a global community around swimming and mathematics.

Takeaways

Programming languages can optimize swim training.
There's a gap in literature between math and sports science.
Data exchange in swimming training is challenging.
Visualizing swimming techniques aids in understanding.
Mathematical patterns can enhance training routines.
Repetitive tasks in swimming can be likened to repetitive songs.
Engagement in training is crucial for success.

Chapters

00:00 The Motivation Behind Swim Training Patterns
02:32 Intersection of Swimming and Computer Science
05:56 Challenges in Measuring and Documenting Swim Performance
09:32 The Role of Patterns in Swim Training
11:54 Mathematical Patterns and Their Application in Swimming
15:14 Exploring Repetitiveness in Music and Swim Training
18:08 Art Projects and Mathematical Patterns
21:13 Fermat's Theorem and Impossible Squares
23:14 Making Math Accessible in Swim Training
26:40 The Importance of a Shared Language in Coaching
27:35 Applying Pattern-Based Approaches to Sports
29:17 The Role of Structure in Training Across Sports
30:02 Current Use of Frameworks in Elite Swimming
30:10 Innovative Training Philosophies in Swimming
32:30 Programming Languages and Their Applications in Sports Science
34:56 The Joy of Writing and Creating
38:59 Challenges in Writing and Communicating Mathematical Concepts
41:37 The Journey of a Book and Community Engagement

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174 episodes