Teaching Assistants


Classes

  • Lecture: Friday, 10:15 – 12:00 (via Zoom, link on Piazza)
  • Exercise: Friday, 13:15 – 14:00 (starting from week 2 – via Zoom, link on Piazza)

Exam

  • Date: TBA
  • Time: TBA
  • Rooms: TBA
  • Aids: Personal summary 4 pages (2 sheets) handwritten or machine-typed
    (single-spaced, font size at least 8 pts.)
 

Schedule and Lecture Slides

Lecture Notes FS2021

Date Lecturer Lecture
26.02.2021 Arampatzis Modeling Data: Linear Least Squares
05.03.2021 Arampatzis Nonlinear systems I: Bisection, Newton, Secant methods
12.03.2021 Arampatzis Nonlinear systems II: sets of equations
19.03.2021 Walther Interpolation and extrapolation I/II: Lagrange interpolation and Cubic splines
26.03.2021 Walther Numerical integration I: Rectangle, Trapezoidal, Simpson’s Rule
16.04.2021 Walther Numerical integration II: Rectangle, Trapezoidal, Simpson’s Rule
23.04.2021 Walther Numerical integration III: Adaptive Quadrature
30.04.2021 Walther Numerical integration IV: Introduction to Probability
07.05.2021 Walther Numerical integration IV: Monte Carlo
14.05.2021 Arampatzis Neural Networks I: Single Layer
21.05.2021 Arampatzis Neural Networks II: Principle Component Analysis and Autoencoders
28.05.2021 Arampatzis Neural Networks III: Deep Learning
04.06.2021    

Old Exams

Textbooks

  • Numerical Analysis (R. L. Burden and J. D. Faires)
  • The Nature of Mathematical Modeling (N. Gershenfeld)
  • Introduction to Applied Mathematics (G. Strang)
  • Analysis of Numerical Methods (Isaacson and Keller)