Covers topics in Quantum Chemistry, including history, tools, color & draw techniques, shapes, and mathematical conversions.
Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.
Provides a comprehensive review of signals and systems, covering topics such as time-domain analysis, frequency-domain analysis, and Fourier transform.
Covers the fundamentals of spectroscopy, including tools and techniques used for internal conversion and vibrational relaxation.
