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Revision: Simple Differential Amplifier
Covers the revision of a simple differential amplifier, emphasizing the importance of staying in protected mode.
Tonality: Pitch Profiles Analysis
Explores tonality, pitch profiles, key distance, and statistical analysis of pitch classes, using pitch spaces to analyze pitch distributions and the Tonnetz for a different tonality.
Design of Experiments: Efficiency and Interactions
Introduces the Design of Experiments, emphasizing efficiency and interactions in R&D through historical context and practical examples.
Turbulence: Numerical Flow Simulation
Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.
Model Selection Criteria: AIC, BIC, Cp
Explores model selection criteria like AIC, BIC, and Cp in statistics for data science.
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Statistics essentials: ANOVA
Covers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.
Statistics Essentials: Two-way ANOVA
Covers the essentials of Two-way ANOVA, focusing on calculating decision variables and checking assumptions.