Random processes

Random processes

1.

Subject title

Random processes

Случајни процеси

2.

Code

m23_s_238

3.

Study program

Security, Cryptography and Coding, Cloud Computing, Data science in computer science and engineering, IT management, Bioinformatics, Еducation with ICT, Eco-informatics, Inteligent Systems, Internet Technologies and cyber security, Computer Science, Statistics and Data Analytics, Software for embedded systems, Software Engineering, Cloud Computing, IT management, Bioinformatics, Security, Cryptography and Coding, Statistics and Data Analytics, Software Engineering,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Втор циклус

6.

Academic year / semester

5 / Летен

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Александра Поповска Митровиќ проф. д-р Верица Бакева

9.

Prerequisites for enrollment

10.

Subject goals and competencies:


Random processes are a mathematical model that models many processes in computer science. The purpose of this course is to introduce in the theory of random processes, studying the characteristics of special accidental processes, so they can be used to model real processes

11.

Subject content:


Random processes: definition, features, classification, transformations. Razing processing processes. Processes with independent stationary growths; Marks processes with discreet and continuous set of conditions: birth and die processes; Markov`s chains, Markov`s nested chains. Special random processes: accidental wandering, POSONOV, Vinerov process. Branching processes. Recovery processes. Advanced queues waiting.

12.

Learning methods:


Предавања, проекти, дискусии, работилници

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

60 + + 45 + 45 + 30 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

60 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

hours

16.

Other forms of activities

16.1.

Project tasks

45 hours

16.2.

Independent tasks

45 hours

16.3.

Homework

30 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / project (presentation: written and oral)

45 points

17.3.

Activities and learning

0 points

17.4.

Final exam

70 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)

19.

Condition for signature and taking final exam

Реализирани активности 15, 16

20.

Language of instruction

Македонски и англиски

21.

Quality assurance method

Механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

No.

Author

Title

Publisher

Year

7780

Frank Beichelt, L. Paul Fatti

Stochastic Processes and Their Applications

CRC Press

2001

7781

Howard M. Taylor, Samuel Karlin

An Introduction to Stochastic Modeling

Academic Press

1998

7782

Верица Бакева, Магдалена Георгиева

Случајни процеси

интерна скрипта

0

22.2.

Additional literature

No.

Author

Title

Publisher

Year