Teaching Assistants


Classes

  • 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

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 FS2020 (last update 18.06.2020)

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)

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)

Additional Material / Useful Links