Lecture 1: Introduction
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Lecture 2: Python programming
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Lecture 3: Numpy and Matplotlib
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Lecture 4: Statistics
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Lecture 5: Regression
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Lecture 6: High-dimensional data
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Lecture 7: Clustering
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Lecture 8: PCA
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Lecture 9: Manifold learning
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Lecture 10: Preprocessing, non-linear methods and brief history
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Lecture 11: Image processing and analysis
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Lecture 12: Neural networks and deep learning
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Lecture 13: Image analysis using deep learning
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Lecture 14: Summary
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Lecture 15: Example exam questions
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