Subject

Introduction to Smart Cities

Course Title

Introduction to Smart Cities
Introduction to Smart Cities

Code

F23L3W088

Study Programme

—

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

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First Cycle

Academic year / semester

7 / Winter

Number of ECTS credits

Teacher

Alexandra Dedinec

Prerequisites for enrolling in the course

Artificial Intelligence or Introduction to Data Science or Machine Learning

10.

Objectives of the course programme (competences)

To familiarize the student with the main concepts, themes, and trends of smart and sustainable cities, the role of information in the design of networked resources, and its impact on urban design, development, and urban living.

11.

Course content

Lectures:
1. Што се паметни градови?
2. Архитектура и дизајн на паметните градови
3. Технологии на хардверско и мрежно ниво
4. Податочно и апликациско ниво на паметните градови
5. Паметни урбани енергетски мрежи
6. Паметни урбани транспортни системи
7. Паметни урбани системи за здравствена грижа
8. Урбани модели
9. Агент-базирани урбани модели
10. Примена и трендови на машинското учење во паметните градови
11. Опис на примери на паметни градови

Practical Classes:
1. Што се паметни градови?
2. Архитектура и дизајн на паметните градови
3. Технологии на хардверско и мрежно ниво
4. Податочно и апликациско ниво на паметните градови
5. Паметни урбани енергетски мрежи
6. Паметни урбани транспортни системи
7. Паметни урбани системи за здравствена грижа
8. Урбани модели
9. Агент-базирани урбани модели
10. Примена и трендови на машинското учење во паметните градови
11. Опис на примери на паметни градови

12.

Learning methods

Lectures using presentations, interactive lectures, exercises (using equipment and software packages), teamwork, case studies, guest lecturers, independent preparation and defense of a project assignment and a seminar paper.

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	30 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	45 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Independent assignments	15 hours
16.3.	Home study	75 hours

17.

Assessment method

17.1.	Tests	10 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activities and learning	10 points
17.4.	Final exam	70 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

Completed laboratory exercises

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

22.2.

Additional literature

No. Author Title Publisher Year