Lectures related to Introduction to SMT Solving

Covers Predicate Logic, focusing on Quantifiers, CNF, and DNF.

Explores predicate logic, focusing on quantifiers and normal forms, emphasizing the importance of finding witnesses and counterexamples.

Covers the interpretation of propositional logic and inference rules for implication, conjunction, and double negation.

Explores finite transition systems, propositional logic, truth interpretation, satisfiability, and boolean function representation with circuits.

Explores encoding finite systems with boolean functions, propositional logic, inductive invariants, and formal proof systems.

Covers the basics of sets and operations in mathematics, from set properties to advanced operations.

Covers translating natural language to propositional logic and proving tautologies.

Explores completeness in propositional logic, resolution on clauses, conjunctive form, unit resolution, SAT solvers, and proof generation.

Covers first-order logic syntax, semantics, and resolution for proving properties.

Introduces predicate logic and explains how to determine truth values using quantifiers.

Covers propositional logic, truth tables, and problem-solving strategies in discrete mathematics.

Delves into the concept of proof in mathematics, emphasizing the importance of evidence and logical reasoning.

Explores formal proofs, satisfiability problems, and inductive invariants using SAT queries in sequential circuits.

Explores the link between properties and variables, including contraries and propositions.

Explores existential quantifiers, truth values, and composite statements in predicate logic.

Covers the basics of discrete mathematics, including logic, structures, and algorithms.

Covers propositions, logical connectives, truth tables, and propositional logic language.

Covers the basics of propositional logic, logical connectives, truth tables, and compound propositions.

Introduces the Mathgraph Theorem Prover, showcasing its unique approach to representing propositions and organizing graphs for first-order logic.