From the very fundamentals to advanced topics like quantum computing
InstructorDr. Börge GöbelThe curriculum includes Python and Jupyter notebook demonstrations to model physical systems, such as plotting eigenfunctions and eigenenergies.
Dedicated modules cover essential prerequisites including complex numbers, derivatives, and integration in spherical coordinates.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This slide outlines the course structure with nine hours of video lectures, multiple-choice quizzes, and programming sessions, illustrated by diagrams of atomic orbitals and a Python coding interface.
This course overview slide introduces Quantum Physics topics including Schrödinger's cat, tunnel effect, quantum computing, and teleportation, presented alongside the instructor's photo.
Instruction includes specific lecture items for exercises paired with dedicated solution components to reinforce learning.
The transition into relativistic quantum theory represents a significant increase in complexity that may require more intensive mathematical foundations than initially provided.
Some signals suggest that the depth of explanation may outpace the foundational support provided for absolute beginners.
While the curriculum targets a broad range of levels, signals suggest a mismatch between beginner-friendly marketing and the high difficulty of advanced sections.
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