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 # sitc
 Exercises for Intelligent Systems Course at Universidad Politécnica de Madrid, Telecommunication Engineering School. This material is used in the subjects
-- SITC (Sistemas Inteligentes y Tecnologías del Conocimiento) - Master Universitario de Ingeniería de Telecomunicación (MUIT)
-- TIAD (Tecnologías Inteligentes de Análisis de Datos) - Master Universitario en Ingeniera de Redes y Servicios Telemáticos)
+- CDAW (Ciencia de datos y aprendizaje en automático en la web de datos) - Master Universitario de Ingeniería de Telecomunicación (MUIT)
+- ABID (Analítica de Big Data) - Master Universitario en Ingeniera de Redes y Servicios Telemáticos)
 
 For following this course:
 - Follow the instructions to install the environment: https://github.com/gsi-upm/sitc/blob/master/python/1_1_Notebooks.ipynb (Just install 'conda')
@@ -9,11 +9,13 @@ For following this course:
 - Run in a terminal in the folder sitc: jupyter notebook (and enjoy)
 
 Topics
-* Python: quick introduction to Python
+* Python: a quick introduction to Python
 * ML-1: introduction to machine learning with scikit-learn
 * ML-2: introduction to machine learning with pandas and scikit-learn
+* ML-21: preprocessing and visualizatoin
 * ML-3: introduction to machine learning. Neural Computing
 * ML-4: introduction to Evolutionary Computing
 * ML-5: introduction to Reinforcement Learning
 * NLP: introduction to NLP
 * LOD: Linked Open Data, exercises and example code
+* SNA: Social Network Analysis