Computational epidemiology

1.

Subject title

Computational epidemiology

Пресметковна епидемиологија

2.

Code

m23_s_021

3.

Study program

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

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

Students will be introduced to the basic contagious disease models like SIR and SIS. It will be studied compartmental models, but also agent based ones. Students will gain knowledge for solving models with numerical simulations. From the models they will be able to draw conclusions about the future course of an epidemic like its fading, or its outbreak, but also to study the possible effects of different vaccination scenarios.

11.

Subject content:

Basic compartmental epidemic models: SIR and SIS. Simulation of the compartmental SIR and SIS models. Determination of the epidemic threshold and the basic reproduction number. Simulation of agent based models for description of epidemic spreading on complex networks. Epidemic models with more compartments. Simulation of vaccination scenarios. Fitting models to data.

12.

Learning methods:

Предавања, проекти, дискусии, работилници

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

60 + 0 + 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

0 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

15 points

17.2.

Seminar work / project (presentation: written and oral)

45 points

17.3.

Activities and learning

15 points

17.4.

Final exam

0 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

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature