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Explores the fundamental problem of distance in astronomy and discusses various methods for distance measurement, including wide-angle astrometry and detached eclipsing binary distances.
Explores the historical discovery and mechanisms behind stellar pulsations, emphasizing their classification and significance in understanding stellar structure.
Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Covers network flow algorithms, including Max Flow, Min Cut, and Negative Cost Cycle Algorithm, progressing from basic definitions to advanced algorithms like Bellman-Ford and Dijkstra's.
