Data visualisation

1.

Subject title

Data visualisation

Податочна визуелизација

2.

Code

m23_w_022

3.

Study program

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

7. Number of ECTS credits

6.0

8.

Instructor

ворн. проф. д-р Катарина Тројачанец Динева проф. д-р Сузана Лошковска

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

The aim of the course is to familiarize students with the theory and practical application of data visualization. After completing the course, the student is expected to demonstrate knowledge of the concept of data visualization, to know how to choose and implement algorithms for the visualization of different types of data programmatically and using visualization tools.

11.

Subject content:

Introduction. Basic concepts and terminology. Data set representation and structure, data primitives, data structure. Visualization algorithms. Visualization of scalar data. Visualization of non-numerical data, multidimensional data, 3D techniques; dynamic techniques, distortion techniques, zooming and focusing; hybrid techniques. Interaction. Animation for visualization.

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 + 120 + 0 + 0 + 0 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

60 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

120 hours

16.

Other forms of activities

16.1.

Project tasks

0 hours

16.2.

Independent tasks

0 hours

16.3.

Homework

0 hours

17.

Grading method

17.1.

Tests

40 points

17.2.

Seminar work / project (presentation: written and oral)

0 points

17.3.

Activities and learning

0 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

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