Discrete Мathematics

Објавено: June 22, 2023
1. Course Title Discrete Мathematics
2. Code 4ФЕИТ08004
3. Study program 3-EES, 7-NKS,13-PMA
4. Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
5. Degree (first, second, third cycle) Second cycle
6. Academic year/semester I/1   7.    Number of ECTS credits 6.00
8. Lecturer Dr Vesna  Andova
9. Course Prerequisites
10. Course Goals (acquired competencies):

The ability to define, understand and solve creative professional challenges of applied mathematics. The ability of professional communication in the native language as well as in English. Most of the course is devoted to graph theory emphasizing graph algorithms. In part, the course covers problems in discrete optimization.

11. Course Syllabus:

Elements of combinatorics. Linear recursions and generating functions. Graph theory. Graph representations. Connectivity, coverings, and blocks. Weighted graphs. Minimal spanning tree. Graph algorithms. Flow.

12. Learning methods:

Lectures, exercises, individual work, ans homework assignments.

13. Total number of course hours 180
14. Distribution of course hours 3 + 3
15. Forms of teaching 15.1 Lectures-theoretical teaching 45 hours
15.2 Exercises (laboratory, practice classes), seminars, teamwork 45 hours
16. Other course activities 16.1 Projects, seminar papers 30 hours
16.2 Individual tasks 30 hours
16.3 Homework and self-learning 30 hours
17. Grading
17.1 Exams 30 points
17.2 Seminar work/project (presentation: written and oral) 30 points
17.3. Activity and participation 0 points
17.4. Final exam 40 points
18. Grading criteria (points) 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. Conditions for acquiring teacher’s signature and for taking final exam
20. Forms of assessment

The assessment will be done continuously by midterm exams, homework/project and final exam. If a student does not take the midterm exams, he/she has to take written problem exam.

21. Language Macedonian and English
22. Method of monitoring of teaching quality
23. Literature
23.1.       Required Literature
No. Author Title Publisher Year
1. A. Bondy, U.S.R. Murty Graph Theory Springer 2008
2. J.H.van Lint, M.S. Wilson A course in combinatorics Cambridge Univ. Press 2001
3. G.Appa, L.Pitsoulis, H.P.Williams HANDBOOK ON MODELLING FOR DISCRETE OPTIMIZATION Springer 2006