Subject

Smart City

Course Title

Smart City
Smart City

Code

m23_w_050

Study Programme

—

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

Second cycle

Academic year / semester

10 / Summer

Number of ECTS credits

Teacher

Димитар Трајанов

Prerequisites for enrolling in the course

—

10.

Objectives of the course programme (competences)

По завршување на курсот, студентот ќе се здобие со знаење за паметни градови и со истражувањата во областа на паметните градови. Дополнително, ќе се спознае и со динамичкото однесување и учењето водено од граѓаните.

11.

Course content

Вовед. Паметни градови. Извори на податоци. Големи податоци. Обработка на големи податоци во реално време. Мерења и симулација во Град. Наука за дизајн воден од граѓаните. Паметно владеење. Паметна одржливост. Од паметни до градови во реално-време.

12.

Learning methods

Lectures supported by slide presentations, interactive lectures, practical exercises (using equipment and software packages), teamwork, case studies, invited guest lecturers, independent preparation and defence of a project assignment and seminar paper, and learning in an electronic environment (forums and consultations).

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

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

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	45 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	15 hours

16.

Other forms of activities

16.1.	Project assignments	50 hours
16.2.	Independent assignments	30 hours
16.3.	Home study	40 hours

17.

Assessment method

17.1.	Tests	45 points
17.2.	Seminar paper / 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.

Requirement for obtaining a signature and taking the final exam

Activities 15 and 16 implemented

20.

Language of instruction

Macedonian and English

21.

Method for monitoring the quality of teaching

internal evaluation and survey mechanism

22.

Literature

22.1.	Required literature 1. Germaine Halegoua \| Smart Cities \| MIT press \| 2020 2. Amir Alavi, William G. Buttlar \| Data Analytics for Smart Cities \| CRC Press \| 2019 3. 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