Processing of textual data
1. |
Subject title |
Processing of textual data Обработка на текстуални податоци |
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2. |
Code |
m23_w_045 |
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3. |
Study program |
IT management, Bioinformatics, Security, Cryptography and Coding, Cloud Computing, Еducation with ICT, Eco-informatics, Inteligent Systems, Internet Technologies and cyber security, Computer Science, Statistics and Data Analytics, Software for embedded systems, Software Engineering, Cloud Computing, IT management, Bioinformatics, Security, Cryptography and Coding, Statistics and Data Analytics, Software Engineering, Data science in computer science and engineering, |
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4. |
Organizer of the study program (unit, institute, department, division) |
Faculty of Information Sciences and Computer Engineering |
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5. |
Study cycle (first, second, third) |
Втор циклус |
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6. |
Academic year / semester 5 / Зимски |
7. Number of ECTS credits 6.0 |
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8. |
Instructor |
проф. д-р Катерина Здравкова |
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9. |
Prerequisites for enrollment |
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10. |
Subject goals and competencies: Upon successful completion of this subject, the student will be able to Recognize key problems arising from using textual Data, get to know the most appropriate algorithms for their dismissal, to Explore and analyze text data and to discover new knowledge, to know and apply existing text data processing tools and to create own solutions for the realization of certain tasks in the field of processing and mining of text documents and data.
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11. |
Subject content: Introduction to the processing of text data and textual mining ;; extraction, classification, categorization and grouping of data ;; Basic Techniques of Text Mining ;; Text Mining and Machine learning ;; Examples of Application of Text Mining Techniques different applications ;; future trends in processing text data. |
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12. |
Learning methods: предавања, проекти, дискусии, работилници |
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13. |
Total available time fund |
6.0 ECTS x 30 hours = 180 hours |
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14. |
Time distribution |
30 + 45 + 0 + 0 + 0 = 180 hours
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15. |
Forms of teaching activities |
15.1. |
Lectures - theoretical teaching |
30 hours |
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15.2. |
Exercises (laboratory, classroom), seminars, team work |
45 hours |
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16. |
Other forms of activities |
16.1. |
Project tasks |
0 hours
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16.2. |
Independent tasks |
0 hours |
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16.3. |
Homework |
0 hours |
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17. |
Grading method |
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17.1. |
Tests |
0 points |
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17.2. |
Seminar work / project (presentation: written and oral) |
0 points |
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17.3. |
Activities and learning |
0 points |
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17.4. |
Final exam |
0 points |
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18. |
Grading criteria (points / grade) |
up to 50 points |
5 (five) (F) |
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from 51 to 60 points |
6 (six) (E) |
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from 61 to 70 points |
7 (seven) (D) |
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from 71 to 80 points |
8 (eight) (C) |
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from 81 to 90 points |
9 (nine) (B) |
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from 91 to 100 points |
10 (ten) (A) |
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19. |
Condition for signature and taking final exam |
Реализирани активности 15, 16 |
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20. |
Language of instruction |
македонски или англиски |
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21. |
Quality assurance method |
-
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22. |
Literature |
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22.1. |
Mandatory literature |
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22.2. |
Additional literature |
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