University: Technical University of Košice
Faculty: Faculty of Electrical Engineering and Informatics
Department: Department of Mathematics and Theoretical Informatics
Course Number: 26001221 Course Name: Numerical Mathematics, Probability Theory and Statistics
Type, scope and method of learning activities:
Course Type: Lecture, Laboratory exercise
Recommended scope of the course content (in hours):
Full-time study (hours per week): 3,2
Part-time study (hours per semester): ST 39,26
Study Method:
Number of credits: 6
Recommended semester of study: ST
Recommended semester Study programme Study grade Study Method
2.rok ST Informatics (INF_Bc_D_sk)
Informatics (INF_Bc_D_en)
Cybersecurity (KB_Bc_D_sk)
Level of study:
Course completion requirements:
Assessment and completion of the course: Graded credit test
Continuous assessment:
Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 51% out of 100%.
Home assignment
Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)
Learning outcomes:
To provide the basic knowledge from numerical analysis, probability theory and statistics with MATLAB.
Brief course content:
1. Numerical solution of linear and nonlinear systems of equations and nonlinear equations.
2. Functions interpolation and interpolation polynomials.
3. Probability event conception. Conditionally probability and the event's independence.
4. Numerical integration.
5. Descriptive statistics.
Recommended Reference Sources:
1. Buchanan, J. L. - Turner, P. R.: Numerical Methods and Analysis. McGraw-Hill, Inc. 1992.
2. Hanke, J. E. - Reitsch, A. G.: Understanding Business Statistics. Irwin, 1991.
Recommended optional program components:
Languages required for the course completion:
Notes: To successfully complete the course, it is necessary to obtain a classified credit. This includes the student's participation in educational activities of direct teaching, lectures, exercises, as well as independent study and independent creative activity of the student in processing the semester assignment / assignments, project on a specified topic,
to a specified extent, in a specified design of a total of 150 hours intensity of the student's work per semester.
Course assessment:
Total number of students assessed: 285
  A B C D E FX  
  1% 6% 11% 28% 31% 24%  
doc. RNDr. Helena Myšková, PhD.
RNDr. Štefan Berežný, PhD.
RNDr. Mária Timková, PhD.
RNDr. Juraj Valiska, PhD.
Last modified: 31.08.2023
Approved by: person(s) responsible for the study program