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Related lectures (28)
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Transmission Electron Microscopy Basics
Introduces the basics of Transmission Electron Microscopy, covering TEM user interface, camera settings, vacuum overview, and image analysis.
TEM Components and Operation
Explores the components and operation of Transmission Electron Microscopy, covering vacuum systems, electron emission, lens aberrations, and detector types.
Estimating Extreme Quantiles
Covers the estimation of extreme quantiles using empirical quantiles and sample data.
Radar principles
Explores the principles of radar technology for remote sensing applications and meteorology.
Probability and Statistics: Basics and Applications
Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.
Probability & Stochastic Processes
Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.
Concept of a Telescope
Covers the principle and types of telescopes, historical examples, resolution factors, and interferometers.
Understanding Statistics & Experimental Design
Covers statistics, experimental design, errors, distributions, implications of sample size, and null results.
Active Remote Sensing: Principles and Applications
Explains the principles of active remote sensing, focusing on synthetic aperture radar and its applications in environmental monitoring.
Variance and Covariance: Properties and Examples
Explores variance, covariance, and practical applications in statistics and probability.