Visualization

1.

Subject title

Visualization

Визуелизација

2.

Code

F23L3W081

3.

Study program

Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Software engineering and information systems, Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Компјутерско инженерство, Интернет, мрежи и безбедност, Информатичка едукација, Software engineering and information systems, Стручни студии за програмирање, Стручни студии за програмирање,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Прв циклус

6.

Academic year / semester

3 / 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

Алгоритми и податочни структури или Примена на алгоритми и податочни структури

10.

Subject goals and competencies:

The subject should enable students to get acquainted with the concept of data visualization, selection of techniques and algorithms for visualization of different data sets, and their program implementation. After completion of the course the student is expected to demonstrate knowledge of the concept of visualization of data, to know how to choose and implement algorithms for visualization of different types of data programmatically and using visualization tools.

11.

Subject content:

Lectures: 1. Visualization. Introduction. Basic concepts. Representation. Successful examples throughout history. A clue to bad visualizations. The lying factor. 2. Visualization process. A process flow model for visualization. Data types and graphical representation (continuous and discrete values, simple and complex values, information, data structure). Visualization techniques for different types of data. 3. Visualization of scalars. Visualization techniques using color. Charts. Pies. Histograms. 4. Visualization of scalars. Isocontours. Isosurfaces. Marching Dice Algorithm. 5. Visualization of scalars. Volume visualization. Volumetric visualization techniques. 6. Visualization of vector data. Techniques. Using characters. Visualization using color. Visualization using different flow representations. 7. Visualization of information. Types of data. Classification of techniques. Geometric techniques. Icon based techniques. 8. Information visualization - 2. Pixel based techniques. Hierarchical techniques. 9. Visualization of information - 3. Techniques based on graphs. Hyperbolic visualizations. Conical trees. 10. Visualization of information -4. Distortion techniques. 3D techniques.

12.

Learning methods:

Предавања со користење на презентации, 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.

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

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

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

30 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

45 hours

16.

Other forms of activities

16.1.

Project tasks

15 hours

16.2.

Independent tasks

15 hours

16.3.

Homework

75 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / project (presentation: written and oral)

15 points

17.3.

Activities and learning

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.

Condition for signature and taking final exam

Реализирани активности 15.2 и 16.1

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