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@@ -87,6 +87,7 @@ I build production systems that turn messy data into decisions. Two decades acro
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-**Introduction to Logic & Set Theory (First Semester, 15 weeks)** — Logic (prop/FO), sets, induction, **differential & integral calculus**; notes + LaTeX.
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-**Linear Algebra (Second Semester, 15 weeks)** — Vector spaces and linear maps; matrices and determinants; eigenvalues/eigenvectors, diagonalisation; orthogonality, projections, Gram–Schmidt; least squares; **SVD and PCA**; numerical stability & conditioning; applications to optimisation and data science.
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Syllabus: _link_ · Slides (Beamer): _link_
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-**NoSQL & MongoDB** — Non-relational data models, document-oriented design, indexing and aggregation in MongoDB, and practical work with real-world datasets.
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-**NLP & LLM mini-workshops** — Prompt design, evals, lightweight retrieval, and report generation with structured → narrative transforms.
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