Statistical research skills: editing, reporting and visualizing data

1.

Subject title

Statistical research skills: editing, reporting and visualizing data

Статистички истражувачки вештини: уредување, репортирање и визуализација на податоци

2.

Code

m23_w_244

3.

Study program

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

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

доц. д-р Бојан Илијоски доц. д-р Емил Станков доц. д-р Илинка Иваноска

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

Students will be able to: Perform original ideas and apply ideas to a research context. They convey their conclusions and knowledge to a specialized and non -specialized audience in a clear and unambiguous way. They synthesize the conclusions obtained from these analyzes and present them clearly and convincingly in writing and oral. Apply social skills for teamwork and autonomous connection to other researchers. Apply advanced techniques of analysis and representation of information in order to adapt to real problems. Use free software such as Python to conduct statistical analysis. Apply and develop techniques for visualization of a collected sample. Apply knowledge and skills to advanced statistical counseling.

11.

Subject content:

Environment for editing. Generating dynamic reports with Python, Markdown environment, exporting and distributing reports, creating presentations. Visualization and visualization libraries. Application development. Distribution and hosting.

12.

Learning methods:

NULL

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

60 + 0 + 30 + 60 + 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

60 hours

16.2.

Independent tasks

30 hours

16.3.

Homework

30 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / project (presentation: written and oral)

60 points

17.3.

Activities and learning

0 points

17.4.

Final exam

30 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

NULL

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

Анкетни прашалници и разговор со студентите.

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature