Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.
Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.
Explores the challenges of generating random numbers and secret key generation in secure communication.
Explores standard C libraries, error handling, random number generation, and custom printf variants.
Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.
Explores semantic security in stream ciphers, emphasizing pseudorandom number generators and computational limitations in cryptography.
Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.
