Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.
Covers the configuration of a project management tool and defining project structures, geographical locations, and risks.
Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.
Covers the back-propagation algorithm for deep neural networks and the importance of locality in CNN.
Covers rhythm generation techniques, including Markov models and hierarchical rhythm generation, with a focus on Nancarrow's Study 14.
Covers corrected exercises from the 2020 exam in the field of robotics, including topics such as accuracy, speed, DC motors, optimal gear ratio, dynamics of robot arms, encoders, and kinematics.
Covers the fundamentals of spectroscopy, including tools, color, Doppler effect, and molecular behavior.
