104.267 Analysis 2
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022S, VO, 3.0h, 3.0EC
Lecture TubeTUWEL

Properties

  • Semester hours: 3.0
  • Credits: 3.0
  • Type: VO Lecture
  • LectureTube course
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to integrate/differentiate in two and more variables.
Furthermore, they can compute the Fourier series as well as the Fourier/Laplace transformation.
Moreover, students are able to sole differential equations in two or more variables.
Finally, they can analyze and apply different numerical methods.

Subject of course

Calculus with two and more variables, Fourier series, transformations, differential equations, computer numerics, methods for solving linear equations, approximation and interpolation, simulation of differential equations.

Teaching methods

The methods are going to be presented within the lecture and corresponding exercises are going to be solved in the exercise-session.

Mode of examination

Written

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon11:00 - 12:0007.03.2022 - 30.05.2022FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Tue10:00 - 12:0008.03.2022 - 31.05.2022FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon16:00 - 18:0002.05.2022 - 30.05.2022FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Analysis 2 - Single appointments
DayDateTimeLocationDescription
Mon07.03.202211:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Tue08.03.202210:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon14.03.202211:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Tue15.03.202210:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon21.03.202211:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Tue22.03.202210:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon28.03.202211:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Tue29.03.202210:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon04.04.202211:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Tue05.04.202210:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon25.04.202211:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Tue26.04.202210:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon02.05.202211:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon02.05.202216:00 - 18:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Tue03.05.202210:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon09.05.202211:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon09.05.202216:00 - 18:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Tue10.05.202210:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon16.05.202211:00 - 12:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik
Mon16.05.202216:00 - 18:00FAV Hörsaal 1 - INF VO Analysis 2 für Informatik

Examination modalities

Written exam

Course registration

Not necessary

Curricula

Study CodeSemesterPrecon.Info
033 535 Computer Engineering 2. Semester
066 645 Data Science

Literature

Drmota/Gittenberger/Karigl/Panholzer: Mathematik für Informatik. Heldermann Verlag, 2014.

Previous knowledge

Algebra und Diskrete Mathematik as well as Analysis für Informatik und Wirtschaftsinformatik.

Preceding courses

Accompanying courses

Miscellaneous

Language

German