Covers IUH, convolution, rainfall-runoff transformation, infiltration, and discharge data analysis.
Covers topics in Quantum Chemistry, including history, tools, color & draw techniques, shapes, and mathematical conversions.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.
Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.
