Fundamentals of Bioinformatics

Fundamentals of Bioinformatics

1.

Subject title

Fundamentals of Bioinformatics

Основи на биоинформатиката

2.

Code

BI-Z-02

3.

Study program

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

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 / Зимски

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Кире Триводалиев проф. д-р Невена Ацковска проф. д-р Слободан Калајџиски

9.

Prerequisites for enrollment

10.

Subject goals and competencies:


The student will be capable of using existing algorithms developed for solving bioinformatical problems and will also be capable of developing the development of own algorithms.

11.

Subject content:


In this subject, the basic algorithms and their advanced variations for Solving clalt problems. Special emphasis will be placed on their application in bioinformatical problems. The structure of the subject will cover: algorithms and their Complexity, greedy algorithms, dynamic programming, divide and rule algorithms, Graf algorithms, a combinatory recognition of templates, clustering and stems, Hidden Marks Models, Probable Algorithms, Global/Local Settlement of Couples sequences, aligning multiple sequences, replacement matrices, searching for Sequent databases, blast and its variations.

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

No.

Author

Title

Publisher

Year

6481

N. C. Jones, P. A. Pevzner

An Introduction to Bioinformatics Algorithms

MIT Press

2004

6482

Andreas D. Baxevanis, B. F. Ouellette

Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins

Wiley

2010

6483

A. Lesk

Introduction to Bioinformatics

Oxford University Press; 4 edition

2014

22.2.

Additional literature

No.

Author

Title

Publisher

Year