104.268 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.

2021S, UE, 2.0h, 4.5EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 4.5
  • Type: UE Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to solve exercises to the corresponding lecture.
This includes the computation of 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 apply different numerical methods.

Subject of course

Exercises to the corresponding lecture.

Teaching methods

Calculation of examples

Mode of examination

Immanent

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed14:00 - 16:0017.03.2021 - 23.06.2021 Zoom-Meeting (LIVE)Online-Exercises
Analysis 2 - Single appointments
DayDateTimeLocationDescription
Wed17.03.202114:00 - 16:00 Zoom-MeetingOnline-Exercises
Wed24.03.202114:00 - 16:00 Zoom-MeetingOnline-Exercises
Wed14.04.202114:00 - 16:00 Zoom-MeetingOnline-Exercises
Wed21.04.202114:00 - 16:00 Zoom-MeetingOnline-Exercises
Wed28.04.202114:00 - 16:00 Zoom-MeetingOnline-Exercises
Wed05.05.202114:00 - 16:00 Zoom-MeetingOnline-Exercises
Wed12.05.202114:00 - 16:00 Zoom-MeetingOnline-Exercises
Wed19.05.202114:00 - 16:00 Zoom-MeetingOnline-Exercises
Wed02.06.202114:00 - 16:00 Zoom-MeetingOnline-Exercises
Wed09.06.202114:00 - 16:00 Zoom-MeetingOnline-Exercises
Wed16.06.202114:00 - 16:00 Zoom-MeetingOnline-Exercises
Wed23.06.202114:00 - 16:00 Zoom-MeetingOnline-Exercises

Examination modalities

Participation

Course registration

Begin End Deregistration end
24.02.2021 08:00 09.03.2021 23:59 09.03.2021 23:59

Registration modalities

WICHTIG: NUR Gruppen-Anmeldung durchführen


Group Registration

GroupRegistration FromTo
G124.02.2021 08:0009.03.2021 23:59
G224.02.2021 08:0009.03.2021 23:59

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.

Accompanying courses

Miscellaneous

Language

German