lecturer of 2022/2023 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Brief description of the course
Sources and types of data, tabulation and graphical presentation of data, relations. Exponential growth. Interests, time value of money, loans. Equations and matrix manipulation. Optimization problems. Least squares fitting in data analysis. Linear programming problems. Basic ideas of probability, probability distributions. Normal distribution.
Learning outcomes in the course
Upon completing the course the student:
- knows mathematical facts and is able to use methods in volume of a subject.