Processing of biological sequences

1.

Subject title

Processing of biological sequences

Процесирање на биолошки секвенции

2.

Code

m23_s_005

3.

Study program

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

проф. д-р Ана Мадевска Богданова проф. д-р Кире Триводалиев

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

This course will explore the calculations that arise from the sequencing of the genome. Students will gain knowledge of: - Algorithms for sign strings used for the classic sequence settlement and problems with the assembly of the genome - algorithms to compare genomes - classification of sequences using probable models - Algorithms for analyzing data from expression of genes During the course special emphasis will be placed on effective algorithms designed to meet the challenges of rapidly growing data collections in the current era of high -flow genome sequencing.

11.

Subject content:

Within the item the following topics will see covered: - Algorithms for sign strings used for classic sequences and problems with the composition of the genome - algorithms to compare genomes - classification of sequences using probable models - Algorithms for analyzing data from expression of genes

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

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