Ecosystem Informatics Needs Analysis

Ecosystem Informatics Needs Analysis

1.

Subject title

Ecosystem Informatics Needs Analysis

Анализа на потребите на информатиката на екосистем

2.

Code

m23_w_001

3.

Study program

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

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 / Зимски

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:


The student will acquire the knowledge needed to analyze the needs and requirements For the information of ecosystems

11.

Subject content:


This module introduces them to the general disciplines needed through the necessary models to have the opportunity to validate, specify and be Manage the needs and apply them to problems from the ecosystem home. This one Module focuses on risk analysis and Ecosystem Software Falls Projects in the role of the necessary analysis when successful ecosystems are built. Certain chapters of the module 1) Problems in requirements and Sotver applications for ecosystems 2) Analysis of needs 3) Specification and determination of requirements 4) Advanced analysis of requirements 5) Special cases in ecosystems: From models to system design

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 + 60 + 40 + 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

40 hours

16.2.

Independent tasks

60 hours

16.3.

Homework

20 hours

17.

Grading method

17.1.

Tests

0 points

17.2.

Seminar work / project (presentation: written and oral)

40 points

17.3.

Activities and learning

10 points

17.4.

Final exam

90 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

6821

The Elements of UML(TM) 2.0 Style

Scott W. Ambler

Cambridge

2005

6822

Sun-Kee Hong, John A. Lee, Byung-Sun Ihm, and Almo Farina

Ecological Issues in a Changing World: Status, Response and Strategy

2005

6823

Sven E. Jorgensen and Felix Mulle

Handbook of Ecosystem Theories and

2000

22.2.

Additional literature

No.

Author

Title

Publisher

Year