Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Covers the real heat pump cycle, including its typical layout, conditions, representation, compressor efficiency, exergy analysis, and limitations.
Covers the fundamentals of spectroscopy, including light sources, sample analysis, and energy levels.
Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.
