Posts: Training

Mathematics Demystified: a Research-Inspired Pedagogy

  • Norbert Poncin
  • 01 Oct 2023
  • 2 min read

Discovering mathematics can be likened to piecing together a puzzle. You gather fragments of mathematical knowledge from various sources, gradually filling in the gaps. However, the relationship between individual components and the overall picture differs in mathematics compared to puzzles.

In a puzzle, individual pieces can be unclear, but the complete image is readily comprehensible. On the contrary, when diving into a mathematical text, the core components, when found, are typically quite natural and easily understood individually. However, when intertwined, they form an abstract mathematical entity with definitions, statements, and proofs. This systematic presentation promotes rigor but can obscure simplicity.

In many teaching scenarios, instructors tend to present the final, precise, but somewhat opaque sequence of mathematical steps. We advocate a different approach – one that emphasizes discovery-based teaching. With this method, you convey mathematics in a manner that echoes the process of its discovery: you first explain the natural and usually simple core ideas and then adeptly fit them into a deductive framework. The challenge lies in maintaining clarity and oversight, a skill honed through decades of practice.

Through this approach, students gain insights into how mathematics operates. They internalize this mathematical method, a critical skill for their future professional lives.

Open Resources: Trainings

AI & ML for BI & Automation – Data Protection and Privacy in AI-Driven Manufacturing

In this Post, we share the table of contents and a few excerpts from the fifth chapter of the lecture notes of a medium-barrier, high-relevance corporate training we developed for an internationally active company. The program was built around four methodological pillars. The first: The goal is to make participants job-ready, able to collaborate across […]

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Open Resources: Reports

Topology for Data Scientists: Persistent Homology and the Geometry of Data

This open report introduces the core concepts of Homology Theory and its modern extension through Topological Data Analysis (TDA), with a focus on Persistent Homology. These mathematical frameworks uncover hidden topological structures within complex datasets—structures often overlooked by traditional methods. Viewing tips: Click the collapsible menu button ☰|      (top-left) to toggle the sidebar. Click […]

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Open Resources: Trainings

AI & ML for BI & Automation – ML for Supply Chain and Marketing Optimization

In this Post, we share the table of contents and a few excerpts from the sixth chapter of the lecture notes of a medium-barrier, high-relevance corporate training we developed for an internationally active company. The program was built around four methodological pillars. The third: A key distinction is that all our trainings are meticulously co-designed […]

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