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This lecture explores the Lausanne Time Machine project, focusing on the digital reconstruction of historical urban data from Lausanne. Topics include georeferencing, visual pattern recognition, and the creation of interactive historical maps using tools like Jupyter Notebook and Wix. The presentation delves into the process of digitizing handwritten texts, analyzing historical documents, and creating visual representations of urban evolution. Students learn to work with datasets from the 19th century, understand cadaster processes, and use geospatial tools for historical data analysis.