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Related lectures (31)
Random Variables: Deterministic vs. Random
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Explores random variables, their variability, realization of random processes, and the scientific method in material science.
Central Tendency and Dispersion
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Explores replicates, visualization methods, central tendency measures, outliers, dispersion, averages, residuals, and unbiased estimators.
Probability Theory: Random Variables and Distributions
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Introduces probability theory, random variables, and distributions, with a focus on their applications in atomic diffusion.
Numpy: Broadcasting, Operations, Comparisons, and Constants
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Covers broadcasting, operations, comparisons, and numpy constants like pi, e, and infinity.
Linearization Method: Examples
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Covers the linearization method through two examples in process control.
Dynamics in Non-Inertial Frames
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Explores dynamics in non-inertial frames, including Coriolis force and transformation of velocities and accelerations.
Statistical Measures: Mean, Median, and Dispersion Techniques
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Discusses statistical measures of central tendency and dispersion, focusing on mean, median, and their implications in data analysis.
Quantum Mechanics: Schrödinger Equation
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Explores the Schrödinger equation in quantum mechanics, numerical methods, and properties of observables.
Measures of dispersion: Mean Square Error
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Explains data dispersion, central tendency, variance, standard deviation, and Mean Square Error.
Non-inertial Reference Frames and Constraints
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Covers non-inertial reference frames, constraints, and continuous systems, including angular velocity, linear and rotational acceleration, and modeling of merry-go-rounds, ropes, and pulleys.
Darcy's Law and Hydraulic Conductivity
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Discusses Darcy's law, tortuosity factor, deviations, and conductivity measurement methods.
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