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Métodos Cuantitativos para la Decisión / Quantitative Decision Methods (1st MII, 1st MIT, year 2016-17)

News:


Analytics is defined as the scientific process of transforming data into insight for making better decisions. Analytics Magazine

, Learn About O.R., The Executive Guide to Operational Research, Operational Research and EURO

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

Life itself is a matter of OR

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

Sep 1, 16

 

Extract of the MII/MIT syllabus.
Hand out of this web page for slides.

  A New View of Analytics and Operations Research      

Sep 2, 16
  DISCRETE EVENT SIMULATION MODELING

Components and Processes. Modeling by Simulation

 

Th. Geijtenbeek, M. van der Panne, F. van der Stappen, F. van der Helm Optimizing Muscle Routing and Control for Diverse Morphologies

Simulation Software Survey. OR/MS Today

    J. Banks and R.R. Gibson The ABCs of Simulation Practice Analytics Magazine 16-21 Spring 2009


Sep 5, 16
  Simulation languages
         

Sep 5, 16
            Arena

Sep 8, 16
             

Arena

Arena Industry Solutions

Rockwell Arena simulation 3D - manufacture
Rockwell Arena simulation 3D - Bike manufacturer
Arena Simulation of Cobequid Blood Clinic


Sep 9, 16
              Lab SIM. Preview


Sep 12, 16
       

Problem set

Simulation Questions Class

   

Sep 12, 16
        Lab SIM. Computer lab

Sep 15, 16
  SIMULATION OUTPUT ANALYSIS

Finite-Horizon Analysis

       

Sep 16, 16
 

Infinite-Horizon Analysis.
Comparison of System Designs

         


Sep 19, 16
          Case study development

Sep 19, 16
          Case study development

Sep 22, 16
          Lab OUT. Preview

Sep 23, 16
 

QUEUEING THEORY

Poisson processes

  C. Moler The world's largest matrix computation Matlab News & Notes Oct 2002      


Sep 26, 16
            Lab OUT. Computer lab

Sep 26, 16
            Lab OUT. Computer lab

Sep 29, 16
  Queueing models          

Sep 30, 16
        Problem set Local administration, Two processors, Download platforms, Printer, Fair, Bank consultations, Boat engines, Classroom computers  


Oct 3, 16
      Problem set Local administration, Two processors, Download platforms, Printer, Fair, Bank consultations, Boat engines, Classroom computers   Case study report.
Hand in of simulation case study.

Oct 3, 16
           

El Arte de Presentar

A very funny example
Kate Hartman: el arte de la indumentaria de comunicación

Presentation of simulation case study.


Oct 6, 16
              Presentation of simulation case study.

Oct 7, 16
              Presentation of simulation case study.


Oct 10, 16
              Presentation of simulation case study.

Oct 10, 16
 

MULTIVARIATE DATA ANALYSIS

Introduction to Multivariate Data Analysis

Analysis of Variance

 

Learn MATLAB Basics

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

   

Oct 13, 16
  Analysis of Variance        

Oct 14, 16
  Principal Component Analysis          


Oct 17, 16
  Principal Component Analysis          

Oct 17, 16
      Problem set  

Oct 20, 16
 

CLUSTERING AND CLASSIFICATION

Hierarchical Clustering. k-means.

 

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

Oct 21, 16
  Classification Trees  

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.

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

     


Oct 24, 16
        MID-TERM EXAM 2016
MID-TERM EXAM 2015
MID-TERM EXAM 2014
   

Oct 24, 16
        Exam Review
   

Oct 26, 16
      Problem set    

Oct 28, 16
          Lab MUL and CLUS. Preview


Oct 31, 16
            Lab MUL and CLUS. Computer lab

Oct 31, 16
            Lab MUL and CLUS. Computer lab

Nov 4, 16
 

REGRESSION

Linear Regression

       


Nov 7, 16
  Additive Models          

Nov 7, 16
  Neural Networks  

S. DeLand and A Filion Data-Driven Insights with MATLAB Analytics: An Energy Load Forecasting Case Study MathWorks News & Notes Oct 2015

F. Lopez-Iturriaga and I. Pastor Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks Expert Systems with Applications 42 (6), 2857-2869 April 2015

  Problem set
   

Nov 10, 16
  Multilayer Perceptron        


Nov 14, 16
          Case study development

Nov 14, 16
          Case study development

Nov 17, 16
            Lab REG. Preview

Nov 18, 16
  TIME SERIES FORECASTING  

Forecasting Software Survey. OR/MS Today

L. Hernandez et al. A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings IEEE Communications Surveys & Tutorials, 16 (3), 2014

   


Nov 21, 16
            Lab REG. Computer lab

Nov 21, 16
            Lab REG. Computer lab

Nov 24, 16
  Decomposition Methods        

Nov 25, 16
  Exponential Smoothing        


Nov 28, 16
  ARIMA. Example        

Nov 28, 16
  ARIMA. Example         Case study report.
Hand in of data analysis case study.

Dic 1, 16
            Presentation of data analysis case study.

Dic 2, 16
              Presentation of data analysis case study.


Dec 5, 16
              Presentation of data analysis case study.

Dec 5, 16
              Presentation of data analysis case study.


Dec 7, 16
          FINAL EXAM 2016
FINAL EXAM 2015
FINAL EXAM 2014
   

Jun 15, 17
          EXAM