The “Electronics 101C” course syllabus is a practical, hands-on introduction to fundamental electronics principles, well-suited for a minor subject.  It is structured to provide a logical progression of skills, starting with basic lab safety and DC circuit analysis and moving toward more complex and modern topics.  This foundation in core concepts like Ohm’s law and component identification is established through guided lab work, which is a crucial teaching method for this field.  The curriculum then builds on this by introducing students to digital logic, which serves as a vital bridge between traditional analog electronics and the digital world of computing. The latter half of the course focuses on applied, project-based learning.  Students are introduced to microcontrollers, specifically using the Arduino platform, to learn how to program and interface with various sensors.  This is a highly relevant skill, particularly for anyone interested in the Internet of Things (IoT). The course then provides a forward-looking glimpse into how embedded devices can connect to the cloud, introducing concepts of data transmission and integrity checks.  This module, “Edge-to-Cloud Teaser,” is a clever inclusion as it connects the foundational electronics knowledge to current technology trends.  The course culminates in a mini-project which allows students to consolidate all their learned skills—from circuit design to programming and documentation—into a single, functional prototype. This syllabus is a solid entry point for anyone interested in the practical side of electronics.  It strikes a good balance between theory and application, ensuring students not only understand the principles but can also build and demonstrate working systems.  The progression from basic components to a complete project provides a clear and effective learning path, making the course valuable for building a portfolio of practical skills.  It would be a great complement to a major in AI & Expert Systems or Blockchain, as both of these fields increasingly rely on data from physical sensors and embedded devices.