Lectures in Scientific Computing

Final lecture slides all in one file

Lecture 1 (31.08) - Introduction
- Lecture 1 slides (pdf)
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Lecture 2 (7.09) - NumPy, SciPy
- Lecture 2 slides (pdf)
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Lecture 3 (14.09) - What is Scientific Computing?; Approximation in Scientific Computing (part 1)
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Lecture 4 (21.09) - Forward and backward error; Floating point numbers
- Lecture 4 slides (pdf)
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Lecture 5 (28.09) - Gauss Elimination with pivoting
- Lecture 5 slides (pdf)
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Lecture 6 (5.10) - BLAS, Numerical Solution of Differential Equations
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Lecture 7 (12.10) - Finite Element Methods (1D case study)
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Lecture 8 (19.10) - Institute Day
Lecture 9 (26.10) - Finite Element Methods (2D case (start))
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Lecture 10 (2.11) - Finite Element Methods (2D case (continued))
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Lecture 11 Prof. Arvet Pedas, Integral Equations (3.11, Liivi 2 - 402 -- NOTE time and place!)
- Lecture 11 slides (pdf)
- (in Estonian (pdf))
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Lecture 12 (9.11) - Iterative Methods; Preconditioning
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Lecture 13 (16.11), Dr Steffen M. Noe - BoxWorld Project
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Lecture 14 (24.11), Example: Graph partitioning
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Lecture 15 (30.11), Example 2: Google PageRank Problem; Parallel Computing
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Lecture 16 (7.11), Parallel Computing (continued); Parallel Preconditioners
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