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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)
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)
13.
Information theory (Chap 13)
14.
Maximum likelihood estimates (Chap 14)
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