107.A20 Pobability Theory and Stochastic Processes for Computer Science
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019W, UE, 2.0h, 3.5EC

Properties

  • Semester hours: 2.0
  • Credits: 3.5
  • Type: UE Exercise

Learning outcomes

After successful completion of the course, students are able to explain important theorems and definitions from the topics listed below and to apply the methods of the field to solving selected problems.

Subject of course

cf 107.A02

Teaching methods

Problems to be solved by students

Mode of examination

Immanent

Lecturers

Institute

Examination modalities

Presentation of solutions

Group dates

GroupDayTimeDateLocationDescription
Gruppe 1Mon08:00 - 10:0007.10.2019 - 27.01.2020FH Hörsaal 2 107.A20 Pobability Theory and Stochastic Processes for Computer Science Gruppe 1
Gruppe 1Mon10:00 - 11:0003.02.2020FH Hörsaal 2 107.A20 Pobability Theory and Stochastic Processes for Computer Science Gruppe 1
Gruppe 2Fri13:00 - 15:0011.10.2019 - 24.01.2020Seminarraum 107/1 107.A20 UE Pobability Theory and Stochastic Processes for Computer Science - Gruppe 2

Course registration

Begin End Deregistration end
02.09.2019 00:00 14.10.2019 00:00 30.10.2019 00:00

Group Registration

GroupRegistration FromTo
Gruppe 102.09.2019 00:0014.10.2019 00:00
Gruppe 202.09.2019 00:0014.10.2019 00:00

Curricula

Study CodeSemesterPrecon.Info
033 535 Computer Engineering 3. SemesterSTEOP
Course requires the completion of the introductory and orientation phase

Literature

No lecture notes are available.

Language

German