Markov Chains: States Classification

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Discrete-Time Markov Chains: Reversible Chains

Covers reversible discrete-time Markov chains in communication models.

Continuous Time Markov Chains

Covers the basic theory for continuous time Markov chains and discusses communication, hitting probabilities, recurrence, and transience.

Classification and Recurrence/Transience

Explores classification, communication, and irreducibility in Markov chains.

Recurrence and transience in markov chains

Explores the concepts of recurrence and transience in continuous time Markov chains.

Communication Amid Uncertainty

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

Conceptual Design: Applied Mechanical Design

Explores the conceptual design process, concept selection, embodiment, and detail design in applied mechanical design.

The Art of Science Communication

Emphasizes the importance of science communication, focusing on gaining support, building trust, and addressing misinformation.

Ergodic Theory: Markov Chains

Explores ergodic theory in Markov chains, discussing irreducibility and unique stationary distributions.

Site Selection and Communication in Environmental Impact Studies

Explores site selection challenges, stakeholder communication, and risks in environmental impact studies, using a case study from Cameroon and Nigeria.

Diversity and Inclusion at ENAC

Explores efforts to increase diversity and inclusion at ENAC, emphasizing an inclusive environment and support mechanisms.