People
Dr. Ing. Jan Přikryl

Study Program:

• Master's Study Program Intelligent Transport Systems (N1041A040007)
• Master's Study Program Smart Cities (N1041A040004)

Department:

Department of Applied Mathematics

Annotation:

Series, Fourier Series. Discrete Fourier Transform. Segmentation of signals, windows, localization. Short-term Fourier Transform. From Fourier Analysis to PDE. Fundamentals of Numerical Mathematics. Numerical solutions to ODEs and PDEs. Continuous traffic flow models described by PDE. Car-following models as ODEs.

chci se dozvědět víc

Study Program:

• Master's Study Program Intelligent Transport Systems (N1041A040006)
• Master's Study Program Program Socrates-Erasmus (ERSMN)
• Master's Study Program Smart Cities (N1041A040004)

Department:

Department of Applied Mathematics

Annotation:

Series, Fourier Series. Discrete Fourier Transform. Segmentation of signals, windows, localization. Short-term Fourier Transform. From Fourier Analysis to PDE. Fundamentals of Numerical Mathematics. Numerical solutions to ODEs and PDEs. Continuous traffic flow models described by PDE. Car-following models as ODEs.

chci se dozvědět víc

Study Program:

• Master's Study Program Intelligent Transport Systems (N1041A040006)

Department:

Department of Applied Mathematics

chci se dozvědět víc

Study Program:

• Bachelor's Study Program Technology in Transportation and Telecommunications (B1041A040001)

Department:

Department of Applied Mathematics

Annotation:

Mathematical modeling. The system and its mathematical description. Types of signals. Basic system responses. Convolution. State models. Principle of general / stationary / linear state description. Data measurement. Uncertainty in measured data. Data normalization. Preparation of data for further processing. Linear state model over noisy data. Kalman filter condition estimation. Statistical learning methods. Regression, classification.

chci se dozvědět víc