Selected Topics in Mathematics

Course Description

The course enables students in a deeper understanding of basic modern mathematical structures, in the fields of discrete mathematics, combinatorics, algorithm analysis, probability, numerical mathematics and mathematical modeling.

Forms of Teaching

Lectures

Independent assignments

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Seminar/Project 0 % 25 % 0 % 25 %
Mid Term Exam: Written 0 % 25 % 0 %
2. Mid Term Exam: Written 0 % 25 % 0 %
Final Exam: Written 0 % 25 %
Exam: Written 0 % 75 %

Week by Week Schedule

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Study Programmes

University undergraduate
Computing (study)
Courses for exceptionally successful students (4. semester) (6. semester)
Electrical Engineering and Information Technology (study)
Courses for exceptionally successful students (4. semester) (6. semester)

Associate Lecturers

General

ID 214698
  Summer semester
6 ECTS
L0 English Level
L1 e-Learning
60 Lectures
0 Exercises
0 Laboratory exercises
0 Project laboratory

Grading System

85 Excellent
70 Very Good
55 Good
45 Acceptable