This course covers the evolution of computer architecture from the early days of IBM's incompatible computer lines to the current era of Domain Specific Architectures (DSAs). The learning outcomes include understanding the transition from CISC to RISC, the "Iron Law" of Processor Performance, and the impact of deep learning on machine learning. Students will learn about microprocessor evolution, the challenges of transitioning from RISC to Intel/HP Itanium, and the potential of DSAs in achieving higher efficiency. The course teaches skills such as analyzing microcoded machines, evaluating the performance of different architectures, and exploring domain-specific languages. The teaching method involves a historical overview, case studies of specific architectures, and discussions on current trends in computer architecture. This course is intended for students and professionals interested in computer science, engineering, or anyone looking to deepen their understanding of modern computer architecture.