Mathematical Logic for Computer Science

Mathematical Logic for Computer Science

1.

Subject title

Mathematical Logic for Computer Science

Математичка логика за компјутерски науки

2.

Code

m23_w_019

3.

Study program

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

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 Александра Поповска Митровиќ проф. д-р Наташа Илиевска

9.

Prerequisites for enrollment

10.

Subject goals and competencies:


Understanding the notions and properties of the expressed and predictual logical countdown and their application in computer science

11.

Subject content:


Discussion: Boolean operations and interpretations, formulas, logical equivalence and substitutes, semantic charts, deductive evidence, resolutions, Gencenov and Hilbertov system Predicate counting: relationships, predicate formulas, interpretations, logical equivalents and substitutes, semantic charts, deductive forms, functions and terms Resolution and logical programming: basic resolution, replacement, unification, general resolution, logical programming Temporal logic.

12.

Learning methods:


Предавања, проекти, дискусии, работилници

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

60 + + 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

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

40 points

17.2.

Seminar work / project (presentation: written and oral)

45 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, 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

7605

M. Ben-Ari

Mathematical Logic for Computer Science

Springer

2012

7606

0

22.2.

Additional literature

No.

Author

Title

Publisher

Year