CRISTINA MASOLLERíS TEACHING ACTIVITIES (SLIDES IN ENGLISH)

Nonlinear time series analysis (2018-2019): undergraduate course at the Faculty of Mathematics and statistics (FME-UPC)

Introduction

Historical developments: from dynamical systems to complex systems

Univariate analysis

Methods to extract information from a time series.

Applications to climate data.

Bivariate analysis

Extracting information from two time series.

Correlation, directionality and causality.

Applications to climate data.

Multivariate analysis

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)

 

Introduction to Dynamical Systems, fixed points, linear stability analysis, and numerical integration

 

Bifurcations: saddle-node, transcritical and pitchfork

 

Phase oscillators, entrainment and locking

 

Time-delayed feedback control

 

 

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

 

Low power applications

 

Laser models and dynamics

 

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

BE-OPTICAL Second School

Torun, Poland, May 2017

 

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