Computational biology

Course title

Code

F18L3S151

Study programme

—

Organizer of the study programme (unit, institute, department)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First cycle

Academic year / semester

8 / Summer

Number of ECTS credits

Teacher

—

Prerequisites for enrolling in the course

Машинско учење

10.

Course objectives (competences)

The goal of the course is for students to become familiar with the fundamentals of modern techniques in the field of computational biology. Upon completion of the course, candidates will have in-depth knowledge of advanced technologies and methods for computational biology, dynamical systems, and modeling; will be able to understand, analyze, and formulate general problems in the field of computational biology; will be able to successfully apply methods to solve real-world problems; will be able to design, analyze, implement, and evaluate the performance of methods and models in computational biology.

11.

Course content

Introduction to computational biology. Dynamic models with differential equations. Linear models of structured populations. Nonlinear models of interaction. Modeling molecular evolution. Models in genetics. Modeling viral diseases. Conclusion – contemporary trends in computational biology.

12.

Learning methods

Lectures supported by slide presentations, interactive lectures, practical classes (using equipment and software packages), teamwork, case studies, guest lecturers, independent preparation and defence of a project assignment and seminar paper, and learning in an electronic environment (forums and consultations).

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of the available time

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures – theoretical teaching	30 hours
15.2.	Exercises (laboratory, auditory), seminars, team work	45 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Individual assignments	15 hours
16.3.	Home study	75 hours

17.

Grading

17.1.	Tests	10 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activity and participation	10 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.

Requirements for signature and taking the final exam

completed activities 15.1 and 15.2

20.

Language of instruction

Macedonian and English

21.

Method of monitoring teaching quality

internal evaluation and survey mechanism

22.

Literature

22.1.	Required literature No. Author Title Publisher Year
22.2.	Additional literature No. Author Title Publisher Year