Subject

Introduction to Random Processes

Course Title

Introduction to Random Processes
Introduction to Stochastic Processes

Code

F18L2S090

Study Programme

—

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First Cycle

Academic year / semester

4 / Summer

Number of ECTS credits

Teacher

—

Prerequisites for enrolling in the course

Probability and Statistics or Fundamentals of Information Theory

10.

Objectives of the course programme (competences)

To enable students to model random processes for real-life situations.

11.

Course content

Random processes: definition, characteristics, classification, transformations. Stationarity of random processes.
Processes. Markov chains. Branching processes. Poisson process. Markov process. Mass service systems (queueing systems). Brownian motion (Wiener process).

12.

Learning methods

Mastering concepts, properties, and techniques through independent work; solving assigned tasks and practice problems; completing a project assignment.

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

30 + 30 + 25 + 15 + 80 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	30 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	30 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Independent assignments	25 hours
16.3.	Home study	80 hours

17.

Assessment method

17.1.	Tests	0 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activities and learning	0 points
17.4.	Final exam	Seventy-five points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)