Subject

Ambient Intelligence

Course Title

Ambient Intelligence
Ambient intelligence

Code

m23_w_015

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

9 / Winter

Number of ECTS credits

Teacher

Eftim Zdravevski, Petre Lameski

Prerequisites for enrolling in the course

—

10.

Objectives of the course programme (competences)

Within this course, students will be introduced to advanced approaches for processing data from ambient and non-invasive sensors used to monitor people's health status and activities in their living and working environments, as well as approaches for recognizing their activities. Implications for health systems and the social aspects of people.

11.

Course content

Ambient and non-invasive sensors for activity detection and sensors integrated into furniture.
Selection of the most suitable sensors and sensor readings
Healthcare Systems: A Historical Overview and Current Challenges
Recognition of low-level atomic activities
Recognition of complex high-level activities
Application in monitoring elderly people
Challenges in application
Case Studies and Latest Advances
Social aspects

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

60 + 0 + 45 + 45 + 30 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	60 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	0 hours

16.

Other forms of activities

16.1.	Project assignments	45 hours
16.2.	Independent assignments	45 hours
16.3.	Home study	30 hours

17.

Assessment method

17.1.	Tests	15 points
17.2.	Seminar paper / project (presentation: written and oral)	45 points
17.3.	Activities and learning	15 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

completed activities 15.1 and 15.2

20.

Language of instruction

Macedonian

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