Enroll Course: https://www.coursera.org/learn/automated-reasoning-sat

In the complex world of computer science and beyond, the ability to solve intricate problems efficiently is paramount. Coursera’s “Automated Reasoning: Satisfiability” course offers a fascinating journey into the heart of satisfiability (SAT) and Satisfiability Modulo Theories (SMT) tools, equipping learners with powerful techniques to tackle a diverse array of challenges.

This course excels in its practical approach, immediately immersing you in real-world applications. From the seemingly simple yet surprisingly complex task of fitting rectangles for poster printing to the intricacies of scheduling, solving logic puzzles, and even verifying program correctness, the course demonstrates the versatility of SAT/SMT solvers. These initial examples serve as a perfect gateway, providing an intuitive understanding of the core concepts before delving into the underlying theory.

The theoretical underpinnings are presented with clarity. You’ll explore resolution, a fundamental method for propositional satisfiability, and understand how the Conflict-Driven Clause Learning (CDCL) framework scales up to handle enormous formulas. The course also introduces the Simplex method, a crucial tool for reasoning with linear inequalities, which is a cornerstone of SMT.

The syllabus is thoughtfully structured. It begins with SAT/SMT basics and illustrative examples, then moves to specific SMT applications involving linear inequalities. The theoretical modules meticulously explain the algorithms behind SAT, including Resolution, the DPLL algorithm, and modern optimizations. Furthermore, it covers the transformation of arbitrary propositional formulas into Conjunctive Normal Form (CNF) using the Tseitin transformation and provides a detailed explanation of the Simplex method for SMT.

Whether you’re a computer science student, a researcher, or a professional looking to enhance your problem-solving toolkit, “Automated Reasoning: Satisfiability” is an invaluable resource. It bridges the gap between theoretical concepts and practical implementation, empowering you to leverage these powerful reasoning tools. Highly recommended for anyone interested in formal methods, artificial intelligence, or efficient algorithm design.

Enroll Course: https://www.coursera.org/learn/automated-reasoning-sat