Statistical learning
1. |
Subject title |
Statistical learning Статистичко учење |
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2. |
Code |
m23_s_008 |
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3. |
Study program |
Cloud Computing, IT management, Bioinformatics, Security, Cryptography and Coding, 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, Data science in computer science and engineering, Еducation with ICT, Software 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 / Летен |
7. Number of ECTS credits 6.0 |
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8. |
Instructor |
проф. д-р Билјана Тојтовска Рибарски проф. д-р Марија Михова |
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9. |
Prerequisites for enrollment |
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10. |
Subject goals and competencies: The purpose of the subject is to introduce and train students with more statistical tools and methods of understanding and analyzing complex databases, illustrated with appropriate selected examples from different fields of research using open source software R and/or Python.
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11. |
Subject content: The focus will be on models of regression and classification, including linear and polynomial regression, logistical regression and linear discriminant analysis, crosswalidation and bootstrap, selection of models and regulatory methods, nonlinear models, slippers and widespread additive models, methods based on trees. and strengthening. Analysis of main components and clustering (with K-processes and hierarchical) |
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12. |
Learning methods: NULL |
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13. |
Total available time fund |
6.0 ECTS x 30 hours = 180 hours |
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14. |
Time distribution |
60 + 0 + 30 + 60 + 30 = 180 hours
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15. |
Forms of teaching activities |
15.1. |
Lectures - theoretical teaching |
60 hours |
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15.2. |
Exercises (laboratory, classroom), seminars, team work |
0 hours |
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16. |
Other forms of activities |
16.1. |
Project tasks |
60 hours
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16.2. |
Independent tasks |
30 hours |
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16.3. |
Homework |
30 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) |
60 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 |
NULL |
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20. |
Language of instruction |
NULL |
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21. |
Quality assurance method |
NULL
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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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