This course moves beyond foundational programming into the core of computational thinking. As an advanced course, it explores the sophisticated algorithms and formal logic that power modern computing systems, from enterprise software to AI and distributed networks. It covers advanced algorithmic techniques like dynamic programming and greedy methods, with a focus on real-world optimization problems relevant to engineering, finance, and technology. The logic design component emphasizes digital circuit design, FPGA implementation, and optimization for high-performance systems. Participants will learn not just to solve problems, but to analyze the inherent complexity of a problem and architect the most elegant, efficient, and scalable solution possible.