Concept

Boolean algebra

Related lectures (29)

Covers the basics of logic systems, including digital versus analog circuits, logic operators, truth tables, and Boolean algebra.

Elementary Algebra: Numeric Sets

Explores elementary algebra concepts related to numeric sets and prime numbers, including unique factorization and properties.

Boolean Algebra: Python Programming

Introduces Boolean algebra concepts and their application in Python programming.

Digital Systems Overview: Evolution and Fundamentals

Explores the evolution of digital systems, covering basics like Boolean algebra and logic gates, and emphasizes teamwork skills and professional vocabulary.

Boolean Algebra: Properties and Optimization

Explores Boolean algebra properties and optimization techniques using Karnaugh diagrams and De Morgan's theorems.

Boolean Algebra: Properties and Theorems

Covers the properties and theorems of Boolean algebra in logic systems.

Boolean Algebra: Properties and Optimization

Covers Boolean algebra properties, optimization techniques, and the importance of valid groups in Karnaugh maps.

Finite Systems Expressed with Formulas

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

Numbers and Booleans

Introduces numbers and booleans in Python, covering numeric types, arithmetic operations, logical operations, and comparisons.

FSM Design and Synthesis

Explains the design and synthesis of Finite State Machines in logic systems.

Boolean Type: Common Errors

Addresses common errors with the boolean type in Java and how to avoid them.

Value Definitions and Conditionals

Covers conditional and Boolean expressions, rewrite rules, and value definitions.

Boolean Hidden Matching Problem

Explores the Boolean Hidden Matching Problem, focusing on distinguishing messages with negligible probability.

Quantum Circuits: Classic Circuits

Explores classic circuits in quantum computing, including Boolean functions and reversible gates.

Boolean Types and Control Structures

Explores boolean types, logical operators, and control structures in Python, emphasizing the evaluation of expressions and the use of relational operators.

Theory of Computation: Problems Definition and Counting (Denumerability)

Explores the theory of computation, emphasizing problems definition, counting, and the limits of algorithmic computation.

Combinatorial Logic Circuits

Covers the basics of logical systems, Boolean algebra, logic gates, and coding in digital circuits.

Graphical Models: Representing Probabilistic Distributions

Covers graphical models for probabilistic distributions using graphs, nodes, and edges.

Jordan Curve Theorem

Covers the proof of the Jordan Curve Theorem and the properties of embedded spheres.

Polynomials: Definitions and Operations

Covers the definition and operations of polynomials, including addition and multiplication, degree, coefficients, and their role in algebraic systems.