Enroll Course: https://www.coursera.org/learn/automated-reasoning-sat
If you’re interested in the fascinating world of automated reasoning and want to harness the power of SAT/SMT tools to solve real-world problems, the ‘Automated Reasoning: satisfiability’ course on Coursera is an excellent choice. This comprehensive course provides a solid foundation in both the theory and practical applications of satisfiability (SAT) and satisfiability modulo theories (SMT).
The course begins with an accessible introduction to SAT and SMT, illustrated through engaging examples such as fitting rectangles for poster printing, scheduling, puzzles, and ensuring program correctness. These real-life scenarios demonstrate how these techniques are not just theoretical concepts but powerful tools for solving complex problems.
A significant highlight is the in-depth exploration of the underlying algorithms, including resolution, DPLL, and the Simplex method. You will understand how modern SAT solvers optimize these algorithms to handle large and intricate formulas efficiently. The course also delves into transformations like Tseitin’s linear transformation to convert arbitrary formulas into CNF, a crucial step in applying SAT algorithms.
What sets this course apart is its balanced approach between theory and application. Whether you’re a student, researcher, or industry professional, you’ll gain valuable skills that you can immediately apply to your projects. The hands-on examples make complex concepts accessible and engaging.
In conclusion, I highly recommend this course for anyone eager to expand their knowledge in automated reasoning, formal verification, or constraint solving. The clear explanations, combined with practical applications, make it a worthwhile investment in your education or professional development.
Enroll Course: https://www.coursera.org/learn/automated-reasoning-sat