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Related lectures (28)
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Information Theory and Coding: Source Coding
Covers source coding, encoder design, and error probability analysis in information theory and coding.
Constructivism: Piaget, Skinner, Vygotsky
Delves into Piaget, Skinner, Vygotsky's theories, schemas, and 'productive failure'.
Expectation Maximization: Learning Parameters
Covers the Expectation Maximization algorithm for learning parameters and dealing with unknown variables.
Dispersion Models: Understanding Axial Dispersion Coefficient
Explores dispersion models and the axial dispersion coefficient in fluid systems.
Grain Boundaries: Interfaces and Energetics
Explores grain boundaries, interfaces, and energetics in materials science.
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Hydrology Fundamentals
Introduces hydrology fundamentals, covering soil moisture, rainfall modeling, and reservoir systems.
Local Noetherian Rings
Covers local Noetherian rings, integrally closed domains, discrete valuations, and fraction fields.