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Handouts for EE1030/EE2100: Matrix Theory (Fall 2026)
These handouts are short, informal summaries of key topics covered in the course. Instead of detailed lecture-by-lecture notes, they group related concepts in a concise and accessible way. They are meant to support your learning, but not replace textbooks or standard references.
Please note: These notes may contain minor mistakes or typos. If you find any, feel free to let me know so I can fix them in future versions.
| # | Concepts Covered | Handout |
| 1 | Introduction to Vectors and Elementary Operations on Vectors | Link |
| 2 | Linear and Multilinear Functions | Link |
| 3 | Inner Product, Norm and Cauchy-Schwarz inequality | Link |
| 4 | Angle between Vectors and Projection | Link |
| 5 | Vector Space and Subspace | Link |
| 6 | Span, Linear Independence and Basis | Link |
| 7 | Orthogonal Basis and Projection onto Subspace | Link |
| 8 | K-Means Clustering | Link |
| 9 | Introduction to Matrices | Link |
| 10 | Matrix Multiplication and Transpose | Link |
| 11 | Linear Transformation and Transformation Matrix | Link |
| 12 | Fundamental Subspaces of a Matrix | Link |
| 13 | Solution of System of Linear Equations | Link
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