NOTE: The following class schedule and deadlines are subject to change. Please check back from time to time.
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Week |
Date |
Topic |
Lecture |
Deadlines/Evaluation |
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1
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Introduction |
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Basics of linear algebra |
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2
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Basics of linear algebra |
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Basics of linear algebra |
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3
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Labor Day |
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Basics of linear algebra |
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4
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QR, least squares, linear
regression |
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QR, least squares, linear
regression |
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5
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QR, least squares, linear
regression |
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Project proposal |
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Singular Value Decomposition |
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6
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Singular Value Decomposition |
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Principal Component Analysis |
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7
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Text mining & Information Retrieval |
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Exam I |
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8
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Clustering
Basics |
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Spectral
relaxation of K-Means clustering |
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9
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Matrix approximations via clustering |
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Non-negative matrix factorization |
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10
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Two-dimensional
PCA and SVD |
Project intermediate report |
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Tensor Basics |
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11
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Tensor Basics |
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Homework 5 solution |
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Higher-Order SVD |
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12
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Tensor Approximation |
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11/07/2006 |
Linear Discriminant Analysis |
Quiz 2 |
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13
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11/12/2006 |
Linear Discriminant Analysis |
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Homework 6 solution |
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11/14/2006 |
Linear Discriminant Analysis |
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14
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11/19/2006 |
Mining the web: PageRank and HITS |
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11/21/2006 |
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Exam II |
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11/22—23 Thanksgiving Holiday |
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15
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11/26/2006 |
Project presentation |
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11/28/2006 |
Project presentation |
Project final report |
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16
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12/03/2006 |
Project presentation |
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12/05/2006 |
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