Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Introduces Jupyter exercises on Differential Privacy, covering random generators, understanding data intrusion impact, and practical applications.
Explains the binary search algorithm using two pointers to efficiently search a sorted list.
Introduces algorithms as problem-solving procedures, covering complexity, correctness, and implementation in various languages.
Covers the EPFL campus facilities, research areas, fellowship process, and program requirements.
