Introduction to Information, Computation, and Communication

Related lectures (22)

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Covers worst-case complexity, algorithms, and proofs including mathematical induction and recursion.

Explores the role of Computing in society and the basics of computing, algorithms, communication systems, and computer security.

Explores challenges in human communication, context importance, compression problems, uncertain functionality, and proof verification.

Explores the history and societal impact of information, communication, and computation sciences in the digital era.

Explores communication complexity and quantum computation models in Distributed Quantum Computing.

Discusses the challenges in characterizing risk knowledge and managing uncertain scientific knowledge in risk evaluation and decision-making.

Covers optimization algorithms, stable matching, and Big-O notation for algorithm efficiency.

Covers the basics of algorithms, problem-solving, and efficient resolution methods.

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

Explores Replica Symmetry Breaking in the Random Energy Model, discussing configurational entropy and condensation.