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Week No.
Topic and Required Reading
1.
Vectors and Matrices (Chaps 1-3)
2.
Linear algebra (Chap 4 part I)
3.
Solving linear equations (Chap 5)
4.
Geometry (Chap 6)
5.
Geometric transformations (Chap 6)
6.
Change of basis &
Singular value decomposition (Chap 7)
7.
Basic Probability (Chap 8)
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8.
Numerical random variables (Chap 9)
9.
Numerical random variables (Cont'd)
10.
Markov models (Chap 10)
11.
Confidence intervals (Chap 11)
12.
Monte Carlo methods (Chap 12)
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13.
Information theory (Chap 13)
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14.
Maximum likelihood estimates (Chap 14)
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