Introductionary topics for data scienсе
1. |
Subject title |
Introductionary topics for data scienсе Воведни теми во науката за податоци |
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2. |
Code |
DS001 |
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3. |
Study program |
Data science in computer science and engineering, IT management, Bioinformatics, Security, Cryptography and Coding, IT management, Eco-informatics, Inteligent Systems, Internet Technologies and cyber security, Computer Science, Software for embedded systems, Software Engineering, Bioinformatics, Security, Cryptography and Coding, Software Engineering, Cloud Computing, Еducation with ICT, Statistics and Data Analytics, Cloud Computing, Statistics and Data Analytics, |
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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 Иван Чорбев ворн. проф. д-р Петре Ламески ворн. проф. д-р Ристе Стојанов |
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9. |
Prerequisites for enrollment |
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10. |
Subject goals and competencies: Within this course, students will be introduced to the principles of setting and solving problems related to data science, leading teams of scientists and engineers, designing systems and products, and communicating with customers and non-technical people. Students will also acquire ability to write programming code in the Python programming language. Ability to apply data science programming.
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11. |
Subject content: Fundamentals of programming Python programming language Python libraries relevant to data science Practical examples Datascience processes Leading teams in data science projects Communication with clients and business Architectural designs of data science based products Practical use-cases and scenarios |
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12. |
Learning methods: Презентации, дискусии на час, разгледувања на примери од праиксата и студии на случаји кодирање во живо |
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13. |
Total available time fund |
6.0 ECTS x 30 hours = 180 hours |
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14. |
Time distribution |
90 + 30 + 15 + 15 + 30 = 180 hours
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15. |
Forms of teaching activities |
15.1. |
Lectures - theoretical teaching |
90 hours |
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15.2. |
Exercises (laboratory, classroom), seminars, team work |
30 hours |
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16. |
Other forms of activities |
16.1. |
Project tasks |
15 hours
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16.2. |
Independent tasks |
15 hours |
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16.3. |
Homework |
30 hours |
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17. |
Grading method |
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17.1. |
Tests |
100 points |
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17.2. |
Seminar work / project (presentation: written and oral) |
15 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 |
Англиски |
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21. |
Quality assurance method |
интерна евалуација и анкети
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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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