Lectures related to Ceramic Forming Methods: Drying & Binder Removal

Statistical Mechanical Resistance: Ceramics

Covers statistical mechanical resistance in ceramics, including Weibull statistic and stable cracking behavior in compression.

Common Distributions: Moment Generating Functions

Explores common probability distributions, special distributions, and entropy concepts.

Probability Distributions in Environmental Studies

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Probability Distributions: Central Limit Theorem and Applications

Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.

Normal Distribution: Properties and Calculations

Covers the normal distribution, including its properties and calculations.

Continuous Random Variables

Covers continuous random variables, probability density functions, and distributions, with practical examples.

Ceramic Materials Processing: Techniques and Analysis

Explores ceramic materials processing techniques like laser diffraction, sieving, sedimentation testing, slip casting, and density determination.

Normal Distribution: Characteristics and Examples

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

Introduction to Continuous Random Variables: Probability Distributions

Introduces continuous random variables and their probability distributions, emphasizing their applications in statistics and data science.

Ceramics: Thermal Stresses and Mechanical Resistance

Explores thermal stresses and mechanical resistance of ceramics, including the impact of temperature changes and the formation of cracks.

Estimation and Confidence Intervals

Explores bias, variance, and confidence intervals in parameter estimation using examples and distributions.

Continuous Random Variables

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Fundamental Limits of Gradient-Based Learning

Delves into the fundamental limits of gradient-based learning on neural networks, covering topics such as binomial theorem, exponential series, and moment-generating functions.

Supervised Learning Fundamentals

Introduces the fundamentals of supervised learning, including loss functions and probability distributions.

Fracture Mechanics: Defects and Energy

Explores fracture mechanics, defects, stress factors, and energy release in material fracture.

Probability and Statistics

Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.

Sintering Fundamentals: Basics of Solid State Grain Growth

Explores the basics of sintering, including diffusion mechanisms, control parameters, and vapor pressure effects on curved surfaces.

Nonuniform Random Number Distributions: Examples and Methods

Explores nonuniform random number distributions, examples, methods, and generation techniques.

Configurational Forces: Defects in Materials

Explores configurational forces in materials, emphasizing equilibrium conditions and defect interactions.

Elliptical Distributions: Properties and Applications

Covers elliptical distributions, including properties, applications, and risk management implications.