Monitoring and data processing in environmental engineering

Monitoring and data processing in environmental engineering

1.

Subject title

Monitoring and data processing in environmental engineering

Мониторинг и обработка на податоци во инженерството на животната средина

2.

Code

m23_s_202

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 for embedded systems, Software Engineering, Cloud Computing, IT management, Bioinformatics, Security, Cryptography and Coding, Statistics and Data Analytics, Software Engineering, Eco-informatics,

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 Андреа Кулаков ворн. проф. д-р Петре Ламески

9.

Prerequisites for enrollment

10.

Subject goals and competencies:


Getting to know the principles of monitoring and processing data in environmental engineering

11.

Subject content:


Course content: 1) Basic concepts of resolution, accuracy, precision, sensitivity, calibration and error control. 2) Data acquisition systems, telemetry, display, recording and Processing 3) Wireless data acquisition devices 4) data analysis, data treatment, error sources.

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 + 40 + 60 + 20 = 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

60 hours

16.2.

Independent tasks

40 hours

16.3.

Homework

20 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / project (presentation: written and oral)

60 points

17.3.

Activities and learning

0 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.

Condition for signature and taking final exam

реализирани активности 15, 16

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

7736

Ecological Informatics Scope,. With CD-ROM

Techniques and Applications Recknagel, Friedrich (Ed.) 2nd ed., XXXVI, 496 p. 174 illus

Elsiver

2006

7737

Подготвена литература и презентации од TEMPUS проектот

Monitoring and Data acquisition in Environmental Engineering

“JEP_41038-2006 "Ecosystem Informatics- Development of Postgraduate Curriculum

2008

22.2.

Additional literature

No.

Author

Title

Publisher

Year