105.645 Stationary Processes and Time Series Analysis
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, UE, 1.0h, 1.5EC
TUWEL

Properties

  • Semester hours: 1.0
  • Credits: 1.5
  • Type: UE Exercise

Learning outcomes

After successful completion of the course, students are able to apply the tasks of the learning outcomes of the corresponding lecture course, as well as to apply the methods of proofs that were used in the lecture course, and to present these on the board.

Subject of course

This course provides some further insights into the concepts and methods presented in the lecture. This problem solving course will include theoretical examples as well as applications to simulated and real world data sets.

Teaching methods

Exercise sessions with completed problems to be marked in TUWEL.

Mode of examination

Immanent

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed09:00 - 10:0004.03.2020 - 11.03.2020Sem.R. DB gelb 04 Stationäre Prozesse und Zeitreihenanalyse, UE
Stationary Processes and Time Series Analysis - Single appointments
DayDateTimeLocationDescription
Wed04.03.202009:00 - 10:00Sem.R. DB gelb 04 Stationäre Prozesse und Zeitreihenanalyse, UE
Wed11.03.202009:00 - 10:00Sem.R. DB gelb 04 Stationäre Prozesse und Zeitreihenanalyse, UE

Examination modalities

Registration in TISS.

Please mark complete problems in TUWEL.

The two exercise sessions with the lowest mark do not count towards the grade, but for the marks to count it is necessary to attend the corresponding exercise session (absolutely no exceptions).

The exercise sessions start on Wednesday, March 11, 2020.

        grade   >   80.0%   1
            >   70.0%   2
            >   60.0%   3
            >   50.0%   4
           <=   50.0%   5

Course registration

Begin End Deregistration end
07.02.2020 20:00 08.03.2020 23:59 15.03.2020 23:59

Curricula

Literature

No lecture notes are available.

Previous knowledge

Foundations in linear algebra, probability theory and statistics are recommended.

Accompanying courses

Miscellaneous

  • Attendance Required!

Language

German