Krish Raj

 The Spark Behind the Session: A Personal Take on AI Teaching Imagine standing at the edge of a topic as broad and complex as Machine Learning, and having just 15 minutes to bring it alive for your peers. That’s the challenge—and the charm—of microteaching.  As part of my ED403 experience, I delivered a session titled "Introduction to Machine Learning" under the EE461 Special Topics course. My goal? Make machine learning understandable, practical, and relevant—even to those hearing about it for the first time.   The Plan: From Data to Decisions in 15 Minutes Microteaching isn’t about covering everything—it’s about doing something meaningful with precision. I structured my session around the basics: what machine learning is, how it differs from traditional programming, and how we see it daily in spam filters, voice assistants, and fraud detection systems. Using MATLAB’s classification workflow, I broke down the 6 essential stages: data loading, preprocessing, feature ex...

  Learning Environment Design – ED403 MicroLED In this blog post, I will be reflecting on the preparation and planning process I undertook for my microteaching presentation. This task is part of Learning Task 7 (LT7) for ED403 and focuses on the Micro Learning Environment Design (MicroLED). The objective was to design a short, focused lesson and present it in a way that aligns with sound pedagogical practices. For this purpose, I selected EE461 – Special Topics in Electrical and Electronics Engineering , a final-year course within the Bachelor of Engineering in Electrical and Electronics (BENGEE) program. The topic chosen for the 15-minute microteaching session was “Mastering Machine Learning – Classification Workflow” . Design Attributes Considered Audience: Understanding my audience was key. These are final-year engineering students with prior exposure to machine learning concepts through EE211. Therefore, I was able to go beyond introductory content and dive deeper into pra...