Smart City

Smart City

1.

Subject title

Smart City

Паметен Град (Smart City)

2.

Code

m23_w_050

3.

Study program

Cloud Computing, Data science in computer science and engineering, IT management, Bioinformatics, Security, Cryptography and Coding, Еducation with ICT, Software Engineering, Eco-informatics, Inteligent Systems, Internet Technologies and cyber security, Computer Science, Statistics and Data Analytics, Software for embedded systems, Cloud Computing, IT management, Bioinformatics, Security, Cryptography and Coding, Statistics and Data Analytics, Software Engineering,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Втор циклус

6.

Academic year / semester

5 / Летен

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Димитар Трајанов

9.

Prerequisites for enrollment

10.

Subject goals and competencies:


Upon completion of the course, the student will gain knowledge of smart cities and research in the field of smart cities. In addition, it will be known with the dynamic behavior and learning of the citizens.

11.

Subject content:


Introduction. Smart cities. Data sources. Large data. Real -time data processing. Measurements and simulation in the city. Citizen -led design science. Smart rule. Smart sustainability. From smart to real-time cities.

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).

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

45 + 15 + 30 + 50 + 40 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

45 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

15 hours

16.

Other forms of activities

16.1.

Project tasks

50 hours

16.2.

Independent tasks

30 hours

16.3.

Homework

40 hours

17.

Grading method

17.1.

Tests

45 points

17.2.

Seminar work / project (presentation: written and oral)

50 points

17.3.

Activities and learning

10 points

17.4.

Final exam

0 points

18.

Grading criteria (points / grade)

up to 50 points

5 (five) (F)

from 51 to 60 points

6 (six) (E)

from 61 to 70 points

7 (seven) (D)

from 71 to 80 points

8 (eight) (C)

from 81 to 90 points

9 (nine) (B)

from 91 to 100 points

10 (ten) (A)

19.

Condition for signature and taking final exam

реализирани активности 15 и 16

20.

Language of instruction

македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

No.

Author

Title

Publisher

Year

7459

Germaine Halegoua

Smart Cities

MIT press

2020

7460

Amir Alavi, William G. Buttlar

Data Analytics for Smart Cities

CRC Press

2019

7461

Matteo Del Giudice, Anna Osello

Handbook of Research on Developing Smart Cities Based on Digital Twins

IGI Global

2021

22.2.

Additional literature

No.

Author

Title

Publisher

Year