Studies data abstractions (e.g., stacks, queues, lists, trees) and their representation techniques (e.g., linking, arrays). Introduces concepts used in algorithm design and analysis including criteria ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Algorithmic Sufficient Statistic: A minimal description capturing the regularities of a data set, balancing simplicity of the model with fidelity to the data. Algorithmic Information Theory and ...