107.A04 probability 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, VO, 4.0h, 4.0EC
TUWEL

Properties

  • Semester hours: 4.0
  • Credits: 4.0
  • Type: VO Lecture
  • Format: Distance Learning

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

elementary probability theory, random variables, asymptotic laws of probability theory, markov chains, stationary sequences, basic notions of statistics, information theory, simple continuous time processes

Teaching methods

Self study with lecture notes, progress control by online quizzes, questions and feedback by forum or chat

Mode of examination

Oral

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri08:00 - 10:0002.10.2020 - 22.01.2021HS 11 Paul Ludwik VO 107.A04
Wed10:30 - 12:0007.10.2020 - 27.01.2021EI 10 Fritz Paschke HS - BI VO 107.A04
probability and stochastic processes for computer science - Single appointments
DayDateTimeLocationDescription
No records found.

Examination modalities

exam

Course registration

Begin End Deregistration end
01.10.2020 00:00 15.11.2020 23:59 15.11.2020 23:59

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.

Miscellaneous

Language

German