Exploring the Synergy: Raspberry Pi, ARM Assembly, Interfacing, and AI in Computer Architecture Course

In recent years, computer architecture instruction has undergone significant transformation, moving away from a primarily theoretical approach, and placing greater emphasis on practical, hands-on learning. Leading this shift is the Raspberry Pi (RaPi), a credit card-sized computer powered by the versatile Broadcom BCM2835 system-on-a-chip (SoC). RaPi offers an open-source operating system, an extensive software library, and abundant online documentation, creating an ideal environment for dynamic and experiential learning. This paper features the successful integration of RaPi into the computer architecture curriculum at CNU, with a primary focus on hands-on labs. These labs cover diverse topics, including RaPi setup and connectivity, low-level programming, Python-based sensor interfacing, and AI-driven image processing for object detection and recognition. The paper provides valuable insights for educators looking to incorporate this single-board computer into their teaching methods, highlighting its multifaceted applications in AI and computer architecture to enhance students' learning experience.