Information processing in biological systems

1.

Subject title

Information processing in biological systems

Процесирање информации во биолошки системи

2.

Code

m23_s_004

3.

Study program

Cloud Computing, IT management, Security, Cryptography and Coding, 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, Security, Cryptography and Coding, Statistics and Data Analytics, Data science in computer science and engineering, Software Engineering, Bioinformatics, Bioinformatics,

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

доц. д-р Бојан Илијоски проф. д-р Невена Ацковска

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

Living systems are the most complex systems and as such are a constant subject of interest both in medical - biological sciences and in engineering sciences. In a narrower sense, this subject describes the subsystems and components of living systems and the relationships and communication between them. We refer to the modeling of living systems, the tools for modeling systems and subsystems, as well as the ways of mutual communication at the nano, micro and macro level. The subject also refers to the formal representation of signals that are characteristic of living organisms. Aspects of engineering intervention in living systems are also part of this subject. Competences: After successful completion of this course, the student will be able to: understand the bio-molecular specificity of living organisms, clearly perceive the impact of abstraction and modeling of living systems and subsystems, be able to model the processing of received signals from all levels of living systems, and to have an understanding of the possibility of engineering intervention at all levels of living systems;

11.

Subject content:

Genetic system and information processing in genetic systems. Information processing at the cellular level. Concepts of sub-organism and organism. Evolution and flow of evolutionary information. Development. Engineering intervention at the genetic and developmental level. Medical rehabilitation and interventions. Information processing at the population level.

12.

Learning methods:

Предавања поддржани со презентации преку слајдови, интерактивни предавања, вежби (користење на опрема и софтверски пакети), тимска работа, пример случаи, поканети гости предавачи, самостојна изработка и одбрана на проектна задача и семинарска работа, учење во електронско опкружување (форуми, консултации).

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

0 points

17.2.

Seminar work / project (presentation: written and oral)

45 points

17.3.

Activities and learning

30 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 или англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature