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Programming and Modelling 2

Course Code:
21PAM2
Academic Degree:
master
Study Programme:
Air Traffic Control and Management (N1041A040010)
semesterlanguage
3czech flag
Form of Study:
full-time and part-time
Credits:
5
Number of Hours:
2 + 4 hours per week - in full-time study
16 hours per semester - in part-time study
Type of Course:
obligatory
Course Completion:
classified credit
Supervisor:
doc. Ing. Bc. Vladimír SOCHA, Ph.D.
Course Tutor:
 
Department of Air Transport (16121)
Supervising Department:
Department of Air Transport (16121)
Keywords:
statistics, hypothesis test, distribution, ANOVA, regression, correlation, machine learning, classification, decision tree filtering, spectrum, Fourier transform
Abstract:
Descriptive statistics, classical statistical analysis. Statistical hypothesis testing. Analysis of variance (ANOVA), one-factor, two-factor ANOVA. Non-parametric methods. Linear regression. Correlation, correlation coefficient. Non-linear regression models, procedure for regression analysis of a non-linear model. Basics of machine learning. Classification by nearest neighbour method. SVM classifiers. Decision trees.
Objectives:
The goal of the course is to introduce students to basic data analysis tools. The course is designed so that students are able to apply the acquired information to real data. The output of the course will be the students' own semester project.