| Estadística II
/ Statistics II (3rd GITI, year 2018-19) |
|
News:
Operations Research & Analytics: enable organizations to
turn complex challenges into substantial opportunities
by transforming data into information, and information
into insights for making better decisions and improving
results. L. Escudero y M.A. López SEIO
y la historia de la IO en España Boletín
de Estadística e Investigación Operativa 28 (1): 24-55,
Feb 2012
F. Petropoulos et al. Operational
Research: Methods and Applications March 2023 The current table reflects in a realistic
way the course development during the several sessions.
It allows the student to know in advance what is going
to happen in each session in order to prepare the
subject and to organize its work adequately.
|
|
|
Date
|
|
Theory
|
|
Readings
|
|
Exercises / Problems
|
|
Practice
|
|
|
Jan 13, 20
|
|
INTRODUCTION
Review
of Statistics
|
|
Learn
MATLAB Basics, Step
By Step Script Execution
Statistical
Software Survey. OR/MS Today
¿Sabes
lo que pasa cuando das a 'sí, acepto' en una app?
La master class de Chema Alonso
Taking
your print. Spectrum IEEE. Aug 2014
Comprar
en la era de Big Data. El País. 13-sep-2014
Th.H. Davenport and D.J. Patil Data
Scientist: The Sexiest Job of the 21st Century
Harvard Business Review Oct 2012
M. Asay Why
Data Scientists Get Paid So Much ReadWrite July
2014
D. Peña Big
Data and Statistics: Trend or Change? Boletín
de Estadística e Investigación Operativa 30 (3): 313-324,
Nov 2014
C. Maté Big
data. Un nuevo paradigma de análisis de datos
Anales de Mecánica y Electricidad XCI(VI): 10-16 Dic
2014
Segway
Analytics
|
|
|
|
Languages and software for Data Analytics
Matlab
Python
R
scikit-learn Machine Learning in Python
H2O The #1 open-source machine learning platform for the enterprise
TensorFlow An open source machine learning library for research and production
Pytorch An open source machine learning framework that accelerates the path from research prototyping to production deployment
MLLib is Apache Spark's scalable machine learning library
Prophet is open source forecasting software released by Facebook's Core Data Science team.
|
|
|
Jan 16, 20
|
|
REGRESSION
Simple Linear Regression
|
|
|
|
|
|
|
|
|
Jan 16, 20
|
|
Parameter estimation. Significativity.
|
|
|
|
|
|
|
|
|
Jan 20, 20
|
|
Residual analysis
|
|
|
|
|
|
|
|
|
Jan 22, 20
|
|
Multiple Linear Regression |
|
|
|
|
|
|
|
|
Jan 23, 20
|
|
Parameter estimation |
|
|
|
|
|
|
|
|
Jan 23, 20
|
|
Collinearity. Residual
analysis. |
|
|
|
|
|
|
|
|
Jan 24, 20
|
|
CLASSIFICATION
Model complexity
|
|
J. Peco, E.F. Sánchez-Úbeda, and T. Gómez
Enhancing Optimal Transmission or Subtransmission
Planning by using Decision Trees IEEE Budapest
Power Tech, Budapest, Hungary, August 1999
|
|
|
|
|
|
|
Feb 3,20
|
|
Classification Trees |
|
|
|
|
|
|
|
|
Feb 6, 20
|
|
|
|
|
|
|
|
Lab REGRESSION |
|
|
Feb 6, 20
|
|
|
|
|
|
|
|
Lab REGRESSION |
|
|
Feb 10, 20
|
|
|
|
|
|
TEST |
|
|
|
Feb 13, 20
|
|
Classification Trees |
|
|
|
|
|
|
|
Feb 13, 20
|
|
Discriminant analysis |
|
|
|
|
|
|
|
Feb 17, 20
|
|
Discriminant analysis
|
|
|
|
|
|
|
|
Feb 20, 20
|
|
|
|
|
|
|
|
Lab CLASSIFICATION |
|
Feb 20, 20
|
|
|
|
|
|
|
|
Lab CLASSIFICATION |
|
|
Feb 24, 20
|
|
ANALYSIS
OF VARIANCE
Single factor
|
|
E.F. Sánchez Úbeda, A. Muñoz, J. Villar
Minería
y visualización de datos del mercado eléctrico español
Inteligencia Artificial, No. 29 (2006), pp. 79-88. |
|
|
|
|
|
|
Feb 27,19
|
|
Several factors without interaction
|
|
|
|
|
|
|
|
|
Feb 27, 20
|
|
Several factors with interaction |
|
|
|
|
|
|
|
|
Mar 6, 20
|
|
|
|
|
|
MID-TERM EXAM |
|
|
|
|
Mar 9, 20
|
|
|
|
|
|
Spanish
Electricity Market Study case with Matlab
Spanish
Electricity Market Study case with Python
|
|
|
|
|
Mar 12, 20
|
|
|
|
|
|
|
|
Lab ANOVA |
|
|
Mar 12, 20
|
|
|
|
|
|
|
|
Lab ANOVA |
|
|
Mar 16, 20
|
|
PRINCIPAL
COMPONENT ANALYSIS
Estimation
|
|
|
|
|
|
|
|
|
Mar 19, 20
|
|
Selection |
|
|
|
|
|
|
|
|
Mar 19, 20
|
|
Selection
|
|
|
|
|
|
|
|
|
Mar 23, 20
|
|
Interpretation.
FACTOR
ANALYSIS. Estimation. Rotation. Association of variables
|
|
|
|
|
|
|
|
|
Mar 26, 20
|
|
|
|
|
|
|
|
Lab PCA & FA |
|
|
Mar 26, 20
|
|
|
|
|
|
|
|
Lab PCA & FA
|
|
|
Mar 30, 20
|
|
CLUSTERING
Distance measures
|
|
H. Fry The
mathematics of love April 2014
L. Li, S. Das, R.J. Hansman, R. Palacios, A.N. Srivastava
Analysis
of flight data using clustering techniques for detecting
abnormal operations Journal of Aerospace Information
Systems. 12 (9), 587-598, Sept 2015.
|
|
|
|
ClustEval.
Integrative Clustering Evaluation Framework |
|
|
Apr 2, 20
|
|
Hierarchical Clustering |
|
|
|
|
|
|
|
|
Apr 2, 20
|
|
Dendrograms |
|
S. Moreno-Carbonell , E.F. Sánchez-Úbeda
and A. Muñoz Time
Series Decomposition of the Daily Outdoor Air Temperature
in Europe for Long-Term Energy Forecasting in the Context
of Climate Change Energies 2020, 13(7) 1569 10.3390/en13071569
|
|
|
|
|
|
|
Apr 16, 20
|
|
|
|
|
|
TEST |
|
|
|
|
Apr 16, 20
|
|
|
|
|
|
|
|
|
|
|
Apr 20, 20
|
|
K-means |
|
Q. Ploussard, L. Olmos and A. Ramos An
operational state aggregation technique for transmission
expansion planning based on line benefits IEEE
Transactions on Power Systems 32 (4): 2744-2755 Oct 2017
10.1109/TPWRS.2016.2614368 |
|
Data
Analytics for Transmission Expansion Planning |
|
|
|
|
Apr 23, 20
|
|
|
|
|
|
|
|
Lab CLUSTERING |
|
|
Apr 23, 20
|
|
|
|
|
|
|
|
Lab CLUSTERING |
|
|
Apr 27, 20
|
|
|
|
|
|
Spanish
Electricity Market Study case with Python |
|
|
|
|
Apr 30, 20
|
|
|
|
|
|
Spanish
Electricity Market Study case with Python |
|
|
|
|
Apr 30, 20
|
|
|
|
|
|
EXAM PREPARATION |
|
|
|
|
May 27, 20
|
|
|
|
|
|
FINAL EXAM |
|
|
|
|
Jun 29, 20
|
|
|
|
|
|
RETAKE EXAM |
|
|
|
|
|
|
|
Instituto de Investigación Tecnológica 
