Teaching Assistants

  • Pantelis Vlachas (Head TA)
  • Juan Bermeo
  • Michael Van Huffel
  • Konstantinos Vontas

Classes

  • Lecture: Friday, 10:15 – 12:00 (ETF C 1)
  • Exercise: Friday, 13:15 – 14:00 (ETF C 1, starting from week 2)
  • Video link: link

Info

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 FS2022

Date Lecturer Lecture
25.02.2022 Arampatzis Modeling Data: Linear Least Squares
04.03.2022 Arampatzis Nonlinear systems I: Bisection, Newton, Secant methods
11.03.2022 Arampatzis Nonlinear systems II: sets of equations
18.03.2022 Walther Interpolation and extrapolation I/II: Lagrange interpolation and Cubic splines
25.03.2022 Walther Numerical integration I: Rectangle, Trapezoidal, Simpson’s Rule
01.04.2022 Walther Numerical integration II: Rectangle, Trapezoidal, Simpson’s Rule
08.04.2022 Walther Numerical integration III: Adaptive Quadrature
29.04.2022 Walther Numerical integration IV: Introduction to Probability
06.05.2022 Walther Numerical integration IV: Monte Carlo
13.05.2022 Arampatzis Neural Networks I: Single Layer
20.05.2022 Arampatzis Neural Networks II: Principle Component Analysis and Autoencoders
27.05.2022 Arampatzis Neural Networks III: Deep Learning
03.06.2022    

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)