Models, Algorithms and Data (MAD): Introduction to Computing

Lecture: Friday, 10:15 – 12:00 (HG F 1)
Exercise: Tuesday 15:15 – 16:00
- CHN E 42 – Students with last name A-E
- NO C 44 – Students with last name F-J
- NO C 6 – Students with last name K-O
- CAB G 11 – Students with last name P-Sp
- ML J 34.3 – Students with last name St-Z

Date: Saturday, 10.08.2019
Time: 09:00-11:00
Rooms:
- HIL C 15 – Students with last name A-L
- HIL D 15 – Students with last name M-Z
Personal summary 4 pages (2 sheets) handwritten or machine-typed
(single-spaced, font size at least 8 pts.)

Date	Lecturer	Lecture
22.02.2019	Zavadlav	Modeling Data: Linear Least Squares
01.03.2019	Zavadlav	Nonlinear systems I: Bisection, Newton, Secant methods
08.03.2019	Zavadlav	Nonlinear systems II: sets of equations
15.03.2019	Walther	Interpolation and extrapolation I: Lagrange interpolation
22.03.2019	Walther	Interpolation and extrapolation II: Cubic splines
29.03.2019	Walther	Interpolation and extrapolation III: Radial basis functions
05.04.2019	Zavadlav	Learning from Data: Neural Networks
12.04.2019	Zavadlav	Numerical integration I: Rectangle, Trapezoidal and Simpson’s Rule
03.05.2019	Walther	Numerical integration II: Richardson and Romberg
10.05.2019	Walther	Numerical integration III: Adaptive Quadrature
17.05.2019	Walther	Numerical integration IV: Monte Carlo
24./31.05.2019	Zavadlav	Modeling Data: Bayesian inference / UQ

The exercises begin in the second week of the semester.