Intelligent interactive systems

1.

Subject title

Intelligent interactive systems

Интелигентни интерактивни системи

2.

Code

m23_s_016

3.

Study program

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

проф. д-р Ана Мадевска Богданова

9.

Prerequisites for enrollment

10.

Subject goals and competencies:

The purpose of the subject is to gain knowledge of the new intelligent methodologies and technologies for more natural. From a special significant is the scientific approach to Problems based on relevant theoretical and experimental research, and following the trends in intelligent technologies, cognitive sciences and paradigms in interactive design. After completing the course the student is expected to: · Knows the theoretical and empirical research that are the basis of new approaches in The design of intelligent interactive systems · Knows the techniques and methodologies of design and performance of intelligent interactive systems · Has the ability and skills to make a choice of appropriate methods of analysis, design and Implementation of an intelligent interactive system according to the problem and domain of Interest · Has the ability to apply advanced technologies and new design paradigms and Performing an intelligent interactive system in selected scenarios, contexts and Applicable domains · Has the ability to design an evaluation procedure that corresponds to the context and Nonnae, which will validate the intelligent interactive system at different times of its development.

11.

Subject content:

The subject taught contents that cover the aspects of choosing the most appropriate intelligent techniques (applied artificial intelligence and machine learning) to support the interaction of a human -compresser that adheres to the capabilities, opportunities and preferences of the individual or group of users. • Intelligent mobile, ubiquitous and intelligent environments. • Affective interaction. • Cognitive and social modeling - Modeling and analyzing users` behavior and user groups • Multimodal interaction with the application of the latest intelligent technologies in the field of deep learning, learning by encouraging and agent-based systems. • Applicable Domains and Case Studies (Recommendation Systems, Decision Support, Assistive Systems, Multimodal Interaction) • Procedure design and scenario for comparison of experimental studies and evaluation of intelligent interactive systems • Recommendation systems • Interpretable (Explainable AI)

12.

Learning methods:

Предавања поддржани со презентации преку слајдови, интерактивни предавања, вежби (користење на опрема и софтверски пакети), тимска работа, студија на случај, 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 + 45 + 45 + 30 = 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

45 hours

16.2.

Independent tasks

45 hours

16.3.

Homework

30 hours

17.

Grading method

17.1.

Tests

15 points

17.2.

Seminar work / project (presentation: written and oral)

45 points

17.3.

Activities and learning

15 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 15.1 до 15.2, и 16.1 до 16.3

20.

Language of instruction

Македонски и англиски

21.

Quality assurance method

Механизми на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature