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Laura Cruz Reyes

PhD in Computer Science. National Research II SNI. Desirable teaching profile PRODEP. Intelligent optimisation, algorithmics,. Autonomous agents, evolutionary computation,. Multicriteria decision and logistics. Instituto Tecnológico de Ciudad Madero. División de Estudios de Posgrado e Investigación. Juventino Rosas y Jesús Urueta, C.P. 89440 Cd. Madero, Tam. MEXICO. Office: Second Level of System and Computer Laboratory, cubicle C1. Ext 3024, 3110.

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Laura Cruz Reyes | cruz-reyes.com Reviews

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PhD in Computer Science. National Research II SNI. Desirable teaching profile PRODEP. Intelligent optimisation, algorithmics,. Autonomous agents, evolutionary computation,. Multicriteria decision and logistics. Instituto Tecnológico de Ciudad Madero. División de Estudios de Posgrado e Investigación. Juventino Rosas y Jesús Urueta, C.P. 89440 Cd. Madero, Tam. MEXICO. Office: Second Level of System and Computer Laboratory, cubicle C1. Ext 3024, 3110.

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1 laura cruz reyes

2 itcm

3 master program

4 doctoral program

5 research

6 theses

7 publications

8 funded research

9 my research group

10 teaching

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Laura Cruz Reyes | cruz-reyes.com Reviews

https://cruz-reyes.com

PhD in Computer Science. National Research II SNI. Desirable teaching profile PRODEP. Intelligent optimisation, algorithmics,. Autonomous agents, evolutionary computation,. Multicriteria decision and logistics. Instituto Tecnológico de Ciudad Madero. División de Estudios de Posgrado e Investigación. Juventino Rosas y Jesús Urueta, C.P. 89440 Cd. Madero, Tam. MEXICO. Office: Second Level of System and Computer Laboratory, cubicle C1. Ext 3024, 3110.

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LauraCruzReyes/Research/Theses

http://www.cruz-reyes.com/data-mining.html

Introduction to machine learning. Week 1- - - - - - 1.1. Data mining, big data analytics and data science. Week 1- - - - - - 1.2. Week 1- - - - - - 1.3. Learning: supervised, unsupervised, by reinforcement. Week 2- - - - - - 2.1. Weeks 3-4- - - - 2.2. Weeks 5-6- - - - 2.3. Week 7- - - - - - 2.4. Rule-Based classification. Rought sets. Week 7- - - - - - 2.5. Other classification techniques. SVM. Weeks 8-9- - - - 3.1. Partitional clustering. Kmeans algorithm. Week 10- - - - - 3.2. Weeks 11-12- - 4.1. 3 Jos...

2

LauraCruzReyes/Research/Theses

http://www.cruz-reyes.com/probability-statistics.html

Introduction to probability and statistics (E1). Week 1- - - - - -1.1 Probability rules. Week 2- - - - - -1.2 Random variables and Probability Models (PDF and CDF). Week 3- - - - - -1.3 Random sampling and expected values. Week 4- - - - - -1.4 Sampling Distribution and the CLT. Week 5-6- - - - -2.1 Descriptive statistics. Weeks 7-9- - - -2.2 Inferential statistics. Weeks 10- - - - 2.3 Bayesian inference. 32 Hypothesis tests for algorithm analysis. 33 Algorithm analysis project. Exams schedule on Fridays:.

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LauraCruzReyes/Research/Theses

http://www.cruz-reyes.com/thesis.html

Laura Cruz Reyes. "Classification of Heuristic Algorithms for the solution of Bin Packing Problems", PhD in Computer Science, Centro Nacional de Investigación y Desarrollo Tecnológico. Department of Computational Sciences, Defended on July 16th, 2004. Diino(PDF). Laura Cruz Reyes. "Automation of the Design of Vertical Fragmentation and Distributed Data Base Allocation using Heuristic and Exact Methods", MSc in Computer Science, Instituto Tecnológico y de Estudios Superiores de Monterrey. Cesar Medina Tre...

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LauraCruzReyes/Research/Theses

http://www.cruz-reyes.com/publications.html

Nancy M. Arratia Martínez, Fernando López Irarragorri, Satu Elisa Schaeffer, and Laura Cruz Reyes. Static R&D project portfolio selection in public organizations. Decision Support Systems. Volume 84, pp 53-63, April 2016. Doi 10.1016/j.dss.2016.01.006. Bastiani, Laura Cruz-Reyes, Eduardo Fernandez, and Claudia Gomez. Portfolio Optimization From a Set of Preference Ordered Projects Using an Ant Colony. Doi 10.1080/18756891.2015.1129590. Volume 6, Number 3, pp. 5-21, December 2015. 2015) Lower and Upper Bo...

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cruz-reyes.com

Laura Cruz Reyes

PhD in Computer Science. National Research II SNI. Desirable teaching profile PRODEP. Intelligent optimisation, algorithmics,. Autonomous agents, evolutionary computation,. Multicriteria decision and logistics. Instituto Tecnológico de Ciudad Madero. División de Estudios de Posgrado e Investigación. Juventino Rosas y Jesús Urueta, C.P. 89440 Cd. Madero, Tam. MEXICO. Office: Second Level of System and Computer Laboratory, cubicle C1. Ext 3024, 3110.

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Jueves, abril 28, 2011. Sebastian Muñoz ( inconfromidad con la nota de la materia admininistracion de usuarios 2 sementre. 9:47 p. m. No hay comentarios.:. Enviar esto por correo electrónico. Miércoles, febrero 23, 2011. Hola profe nosotras somos el grupo numero 1. Te acuerdas que te hablamos de que no pudimos subir el cuadro que queria subir de participacion ciudadana. yo vanessa hable personalmete con usted. espero que nos colabores y veas es trabajo que hicismos muchas gracias. 8:23 p. m. En abdomen p...

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