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

Lecture: Friday, 10:15 – 12:00 (HG F 1)
Exercise: Tuesday 15:15 – 16:00
- LFW B 1 – Students with last name A-E
- CHN E 42 – Students with last name F-J
- ML E 12 – Students with last name K-Me
- NO C 44 – Students with last name Mi-R
- NO C 6 – Students with last name S-Z

Date: 03.08.2020
Time: 14:30-16:30
Rooms:
- HIL F 15 – Students with last name A-K
- HIL F 41 – Students with last name L-Z
Aids: Personal summary 4 pages (2 sheets) handwritten or machine-typed
(single-spaced, font size at least 8 pts.)

Date	Lecturer	Lecture
21.02.2020	Arampatzis	Modeling Data: Linear Least Squares
28.02.2020	Arampatzis	Nonlinear systems I: Bisection, Newton, Secant methods
06.03.2020	Arampatzis	Nonlinear systems II: sets of equations
13.03.2020	Walther	Interpolation and extrapolation I/II: Lagrange interpolation and Cubic splines
20.03.2020	Walther	Numerical integration I/II: Rectangle, Trapezoidal, Simpson’s Rule, Richardson and Romberg
27.03.2020	Walther	Numerical integration I/II: Rectangle, Trapezoidal, Simpson’s Rule, Richardson and Romberg
03.04.2020	Walther	Numerical integration III: Adaptive Quadrature
24.04.2020	Walther	Numerical integration IV: Introduction to Probability, Whiteboard
08.05.2020	Walther	Numerical integration IV: Monte Carlo
15.05.2020	Arampatzis	Neural Networks I: Single Layer
22.05.2020	Arampatzis	Neural Networks II: Principle Component Analysis and Autoencoders (Slides)
29.05.2020	Arampatzis	Neural Networks III: Deep Learning (Slides)

The exercises begin in the second week of the semester.