Smart financial systems and the stock market

Smart financial systems and the stock market

1.

Subject title

Smart financial systems and the stock market

Паметни финансиски системи и берза

2.

Code

m23_w_066

3.

Study program

Cloud Computing, Data science in computer science and engineering, IT management, Bioinformatics, Security, Cryptography and Coding, Еducation with ICT, Eco-informatics, 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, 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 / Зимски

7. Number of ECTS credits

6.0

8.

Instructor

ворн. проф. д-р Владимир Здравески

9.

Prerequisites for enrollment

10.

Subject goals and competencies:


Within the course, students will get acquainted with financial systems and stock market, software architectures, packages and tools that include Internet things. They will additionally develop concepts and software for new tools and modules.

11.

Subject content:


Introduction Financial Systems. Electronic payment systems. Introduction to Stock Exchange. Overview of software architectures, packages and stock market tools. Introduction to the Internet by Things. Internet from things in financial systems. Internet from things in stock trading systems. Open Open Opportunities for New IoT Tools and Modules.

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

45 + 15 + 30 + 50 + 40 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

45 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

15 hours

16.

Other forms of activities

16.1.

Project tasks

50 hours

16.2.

Independent tasks

30 hours

16.3.

Homework

40 hours

17.

Grading method

17.1.

Tests

45 points

17.2.

Seminar work / 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.

Condition for signature and taking final exam

реализирани активности 15 и 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

7278

Keith Mayes, Konstantinos Markantonakis

Smart Cards, Tokens, Security and Applications - 2nd edition

Springer

2017

7279

Urban Jaekle, Emilio Tomasini

Trading Systems - A new approach to system development and portfolio optimisation

Harriman House Ltd.

2009

7280

Dieter Uckelmann, Mark Harrison, Florian Michahelles

Architecting the Internet of Things

Springer

2011

7281

0

22.2.

Additional literature

No.

Author

Title

Publisher

Year