Lecture: Applied Mathematics: Numerical Analysis


  • Lecturer(s):
  • Website: externhttps://ecampus.uni-bonn.de/bl.php?id=199616
  • Start: 15th of October 2021
  • Dates: Fr. 10 (c.t.) - 12
  • Course number: BA-INF 031/127
  • Curriculum: Bachelor
  • Effort: 2 SWS lecture, 2 SWS execise, 6 CP
  • Exams: 22.02.2022 and 31.03.2022



  • 18.10.2021: Please register in the externTutorenvergabesystem (TVS) until wednesday 23:59.
  • 18.10.2021: We changed some exercise groups from presence to online groups.
  • 15.10.2021: The first video is online. The video covers the lectures at 15.10.2021 and 22.10.2021.
  • 14.10.2021: We provide externa Tiddlywiki for the lecture, which is a kind of digital flash card system, which can be used to learn for the exam.
  • 14.10.2021: Please vote until sunday (17.10.2021) in the eCampus system, if you would prefer online exercises or in-person exercises.
  • 08.10.2021: The eCampus registration is now open. Please register for the eCampus course, so you will get the password for the lecture videos.
  • 04.10.2021: The exercise groups will be assigned via the TVS. The deadline will be 22.10.2021. The first exercise submission will be on 29.10.2021.
  • 01.10.2021: In addition to the videos, every friday at 10am there will be a Q&A session held via Zoom for discussing questions about the video from the previous week.
  • 23.09.2021: The lecture will be provided as videos, which will be made available every friday, starting with Oct 15th.


To participate in the lecture, please register for the externeCampus course.

You will have to submit your exercises via eCampus and information like the Zoom link for the Q&A session will be provided via eCampus as well.

Q&A Session

Starting at 22.10.2021, there is every friday at 10am a Q&A session about the lecture.

The Q&A session is NOT intended for answering questions about the exercises, but to allow you to ask questions about the content of the lecture videos.

List of Exercise Groups

We offer the following exercise groups:

  • Group 1: Monday 12pm (ct), Tutor: Nils Wortmann, online
  • Group 2: Tuesday 10am (ct), Tutor: Domenic Zingsheim, Room: Lecture Hall 3+4
  • Group 3: Tuesday 12pm (ct), Tutor: Domenic Zingsheim, online
  • Group 4: Tuesday 2pm (ct), Tutor: Nils Wandel, online
  • Group 5: Wednesday 12pm (ct), Tutor: Nils Wortmann, Room: Lecture Hall 3+4
  • Group 6: Wednesday 2pm (ct), Tutor: Alexander Schier, online

    The exercise groups will be assigned using the TVS (Tutorenvergabesystem).

    More details will be announced on the website and via eCampus.


    Assignment Sheets

    Exercise 1: Python
    Assignment sheet  (PDF document, 218 KB)


    Additional Literature

    • During the lecture we create externa Tiddlywiki based on the slides.
    • Numerical Linear Algebra (Lloyd N. Trefethen, David Bau) [ISBN: 978-0-898713-61-9]
    • Analysis 2, 2. erweiterte Auflage (Konrad Königsberger) [ISBN: 978-3540203896]
    • Deisenroth, Marc Peter, A Aldo Faisal, und Cheng Soon Ong. „externMathematics for Machine Learning“ (free download)