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This lecture introduces the fundamentals of brain connectomics, covering topics such as brain networks across spatial scales, structural and functional brain networks, terminology clarification, equivalence between graphs and matrices, and the history of the human connectome. It also explores data schemes for brain connectomics, data preprocessing, thresholding connectomes, measures of node connectivity, and the modular structure of the functional connectome. Additionally, it delves into the differences between brain networks and neural networks, providing insights into artificial neural networks and their relationship to the human brain's architecture.