Explores the detection of stable particles in particle physics experiments, covering observed and unobserved particles, their lifetimes, and the impact of Lorentz boost.
Covers the Fast Fourier Transform (FFT) algorithm and its applications in computational physics, including image processing, experimental techniques, filters, and analysis of microscopy images.
Covers data stream processing concepts, focusing on Apache Kafka and Spark Streaming integration, event time management, and project implementation guidelines.
