Application of wavelets in numerical simulations
1. |
Subject title |
Application of wavelets in numerical simulations Примена на бранчиња во нумерички симулации |
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2. |
Code |
m23_w_007 |
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3. |
Study program |
Data science in computer science and engineering, IT management, 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, Security, Cryptography and Coding, Statistics and Data Analytics, Software Engineering, Bioinformatics, Bioinformatics, |
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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 Весна Димитриевска Ристовска |
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9. |
Prerequisites for enrollment |
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10. |
Subject goals and competencies: The student to gain basic knowledge of numerical methods and transformations with waves (Weedletti) to be able to apply them in mathematical modeling of troubles. Applying Weedletti to numerically resolving equations, mathematical modeling of bioinformatics problems, image compression and noise removal. Using ready -made software packages to illustrate the application of Welder.
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11. |
Subject content: Introduction: Application of Waves (Weeds) in Mathematical Modeling. Basic types of errors and sources of error. Polynomial, SPINA and Wailett interpolation. Approximation of Functions: Tangent Method, Newton`s Method, Nonlinear Welett Method. Numerical integration and numerical resolution differential equations. Welet methods in solving partial differential and integral equations, solving bioinformatics problems, image compression and noise removal. Using ready -made software packages to illustrate the application of Welder. |
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12. |
Learning methods: Предавања поддржани со презентации преку слајдови, интерактивни предавања, 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 15 |
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20. |
Language of instruction |
македонски |
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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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