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.

2020W, UE, 2.0h, 3.5EC
TUWEL

Properties

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

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

Upluoad of solutions in TUWEL, final test

 

Course registration

Begin End Deregistration end
31.08.2020 00:00 12.10.2020 00:00 28.10.2020 00:00

Group Registration

GroupRegistration FromTo
Gruppe 131.08.2020 00:0012.10.2020 00:00
Gruppe 231.08.2020 00:0012.10.2020 00:00
Gruppe 1301.10.2020 00:0031.10.2020 23:59
Gruppe 1401.10.2020 00:0031.10.2020 23:59
Gruppe 1502.10.2020 00:0015.11.2020 23:59
Ĝruppe 328.09.2020 14:0031.10.2020 23:59
Ĝruppe 428.09.2020 14:0031.10.2020 23:59
Ĝruppe 528.09.2020 14:0031.10.2020 23:59
Ĝruppe 628.09.2020 14:0031.10.2020 23:59
Ĝruppe 728.09.2020 14:0031.10.2020 23:59
Ĝruppe 828.09.2020 14:0031.10.2020 23:59
Ĝruppe 928.09.2020 14:0031.10.2020 23:59
Ĝruppe 1028.09.2020 14:0031.10.2020 23:59
Ĝruppe 1128.09.2020 14:0031.10.2020 23:59
Ĝruppe 1228.09.2020 14:0031.10.2020 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
033 535 Computer Engineering Mandatory3. SemesterSTEOP
Course requires the completion of the introductory and orientation phase

Literature

No lecture notes are available.

Language

German