Subject

Intelligent Sensor Networks

Course Title

Intelligent Sensor Networks
Intelligent sensor networks

Code

m23_s_047

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

Lasko Basnarkov, Miroslav Mirchev

Prerequisites for enrolling in the course

—

10.

Objectives of the course programme (competences)

Upon completion of the course, the student is expected to have knowledge of modern intelligent sensor networks and their diverse applications. They should be well-versed in communication, routing, synchronization, coordination, and localization methods in mobile sensor networks. To be able to design intelligent sensor networks in terms of space, data, grouping, and context, as well as to develop appropriate software.

11.

Course content

Introduction to sensor networks and their applications. Architecture, operating systems, and programming of sensor nodes. Communication, routing, synchronization, localization, coordination, power management, and security. Processing, aggregation, and storage of data from large-scale sensor networks. Distributed detection and estimation. Data analysis and knowledge discovery from sensor data. Networks and swarms of sensor-robotic agents. Algorithms for space search and coordinated motion of mobile agents.

12.

Learning methods

Lectures supported by slide presentations, interactive lectures, practical classes (using equipment and software packages), teamwork, case studies, 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

completed activities

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