Discovery of knowledge about business processes
1. |
Subject title |
Discovery of knowledge about business processes Откривање на знаење за бизнис процеси |
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2. |
Code |
m23_w_042 |
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3. |
Study program |
Cloud Computing, Bioinformatics, Security, Cryptography and Coding, 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, Bioinformatics, Security, Cryptography and Coding, Statistics and Data Analytics, Software Engineering, Data science in computer science and engineering, IT management, IT management, |
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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 Георгина Мирчева |
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9. |
Prerequisites for enrollment |
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10. |
Subject goals and competencies: This course studies the techniques for discovering knowledge of business processes, which automatically detect business processes based on data on past events in the process. This course unites data mining and modeling business processes that can be applied to automatic detection and better business process modeling. Various techniques that use data for past events will be reviewed and applied to real applications. Upon completion of this course students will have deepened knowledge of intelligent business processes, they will know how to choose appropriate techniques and apply them to realistic applications. Students will gain practical knowledge by analyzing a case study.
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11. |
Subject content: Business processes, introductions, concepts, stages in managing business processes. Overview of language modeling languages. Modeling business processes. Collecting and representation of business process data. Business process logs, content and format. Algorithms for detecting a course of business processes, identification of events and decisions, and determining the probabilities for their occurrence. Automatic detection of resources and their communication. Types of problems for mining business processes. Detecting knowledge of business processes, introductions, techniques and applications. Detection of business processes based on genetic algorithms. Discovering business processes based on opaque logic. Checking correctness. Identification of bottlenecks. Improving business process models. Re-design of business processes. Analysis and evaluation. Business process monitoring and control. Operational support. Software tools to detect business process knowledge. |
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12. |
Learning methods: Предавања поддржани со презентации преку слајдови, интерактивни предавања, практични вежби (користење на опрема и софтверски пакети), тимска работа, пример случаи, поканети гости предавачи, самостојна изработка и одбрана на проектна задача и семинарска работа, учење во електронско опкружување (форуми, консултации). |
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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 + 45 + 45 + 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 |
45 hours
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16.2. |
Independent tasks |
45 hours |
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16.3. |
Homework |
30 hours |
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17. |
Grading method |
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17.1. |
Tests |
15 points |
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17.2. |
Seminar work / project (presentation: written and oral) |
45 points |
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17.3. |
Activities and learning |
15 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 |
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20. |
Language of instruction |
македонски и англиски |
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21. |
Quality assurance method |
механизам на 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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