CRISTINA MASOLLER’S TEACHING
ACTIVITIES (SLIDES IN ENGLISH)
Nonlinear time series analysis
(2018-2019): undergraduate course at the Faculty of Mathematics and statistics
(FME-UPC)
Historical
developments: from dynamical systems to complex systems
Methods
to extract information from a time series.
Applications
to climate data.
Extracting
information from two time series.
Correlation,
directionality and causality.
Applications
to climate data.
Many
time series: complex networks.
Network
characterization and analysis.
Climate
networks.
Nonlinear systems,
control and chaos in engineering (2018-2019): undergraduate course at School of
Industrial, Aeronautical and Audiovisual Engineering of Terrassa (ESEIAAT)
Bifurcations:
saddle-node, transcritical and pitchfork
Phase
oscillators, entrainment and locking
Laser systems and
applications (2018-2019): master course at Barcelona
Master in Photonics (joint MsC program offered by
UPC, UAB, UB and ICFO).
Semiconductor
light sources: LEDs, amplifiers and diode lasers
High
power lasers, medical lasers and life sciences applications
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Other
teaching activities
Tutorial: Data
analysis tools for identifying and characterizing dynamical transitions
Conference Extremes 2018, Hanover, Germany, March 2018
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Three lectures on Nonlinear time series analysis
ICTP-SAIFR School on Nonlinear
Time Series Analysis and Complex Networks in the Big Data Era
Sao Paulo, Brazil, February 2018
Lecture 1: Introduction
to nonlinear time series analysis. Video
Lecture 2: Identifying
dynamical transitions from data. Video
Lecture 3: Climate
data analysis. Video
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Lecture: Introduction
to nonlinear time series analysis tools
Torun, Poland, May 2017