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Covers electron microscope components, vacuum systems, aberrations, detectors, and specimen holders.

Transmission Electron Microscopy: Imaging and Diffraction

Explores the operation of a Transmission Electron Microscope, covering imaging modes and lens effects.

Covers advanced operation techniques for a Transmission Electron Microscope (TEM), including setting up the workset and fine-tuning the image.

Statistical Measures: Mean, Median, and Dispersion Techniques

Discusses statistical measures of central tendency and dispersion, focusing on mean, median, and their implications in data analysis.

Transmission Electron Microscopy: Advanced Techniques

Explores advanced techniques in transmission electron microscopy, focusing on phase contrast imaging and camera settings.

Normal Distribution: Characteristics and Examples

Covers the characteristics and importance of the normal distribution, including examples and treatment scenarios.

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.