Introduction to Continuum Mechanics

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Covers data manipulation and exploration using Python with a focus on visualization techniques.

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Introduces mechanics, differential and vector calculus, and historical perspectives from Aristotle to Newton.

Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.

Explores the conservation of linear momentum and stress in a continuum, focusing on governing equations and constitutive laws.

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Covers the governing equations for forces and motion in continua, including stress, energy conservation, solid deformation, and fluid motion.

Explores mass conservation in continuum mechanics, covering stress, dynamics, constitutive laws, and solid deformation.

Covers tensor analysis, kinematics, and fluid mechanics in continuum mechanics.