Internet of Things for eco-systems

Internet of Things for eco-systems

1.

Subject title

Internet of Things for eco-systems

Интернет од Нешта за еко-системи

2.

Code

m23_s_237

3.

Study program

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

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 Андреја Наумоски проф. д-р Коста Митрески

9.

Prerequisites for enrollment

10.

Subject goals and competencies:


Upon completion of the course, students will acquire knowledge of the application of IoT monitoring systems, analysis of spatial and weather environmental data, and decision making based on such analysis. They will additionally learn how to apply such solutions to promoting and protecting eco-systems.

11.

Subject content:


Introduction and Examples of IoT Systems in Environment, IoT application for monitoring and analyzing data from water ecosystems, IoT in monitoring and analyzing ambient air data, monitoring and analyzing IoT soil systems, IoT and GIS in analysis in analysis The spatial information, IoT in biodiversity studies, IoT in protection against city noise, IoT and protection against electromagnetic radiation, IoT in control and prevention of solid and liquid waste pollution, IoT and hydrophonic systems, IoT in protection of forest surfaces

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

60 + 0 + 0 + 0 + 0 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

60 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

0 hours

16.

Other forms of activities

16.1.

Project tasks

0 hours

16.2.

Independent tasks

0 hours

16.3.

Homework

0 hours

17.

Grading method

17.1.

Tests

45 points

17.2.

Seminar work / project (presentation: written and oral)

0 points

17.3.

Activities and learning

10 points

17.4.

Final exam

100 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 15.1 и 15.2

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

7745

Raffaele Giaffreda, Radu-Laurentiu Vieriu, Edna Pasher, Gabriel Bendersky, Antonio J. Jara, Joel J.P.C. Rodrigues, Eliezer Dekel, Benny Mandler

Internet of Things. User-Centric IoT

Springer

2016

7746

Hwaiyu Geng

Internet of Things and Data Analytics Handbook

John Wiley & Sons,

2017

7747

Rajkumar Buyya, Amir Vahid Dastjerdi

Internet of Things: Principles and Paradigms

Elsevier

2016

7748

Friedrich Recknagel, William K. Michener

Ecological Informatics: Data Management and Knowledge Discovery

Springer

2017

22.2.

Additional literature

No.

Author

Title

Publisher

Year