Master's degree in Statistics and Operations Research

Courses

Week 1: June 17 to 21

  1. Multi-state models: Rates, risks, and pseudo-values. Henrik Ravn (Novo Nordisk), Per Kragh Andersen (University of Copenhagen). Language: English. MORNING: 9 to 12h.
  2. Metaanálisis con R. Aurelio Tobias (Instituto de Diagnóstico Ambiental y Estudios del Agua, CSIC). Language: Spanish. MORNING: 9 to 12h.
  3. Data Literacy: Pensamiento crítico y toma de decisiones. Laura Marqués Padreny (Adevinta). Language: Spanish. AFTERNOON: 15 to 18h.
  4. Game Theory and Applications. Pedro Calleja Cortes. Language: English. AFTERNOON: 15 to 18h.

 Week 2: June 25 to 28

  1. Adaptive Designs for Confirmatory Clinical Trials. Werner Brannath (Universitat Bremen). Language: English. MORNING: 9 to 13h (June 25, 26 and 27) and 9 to 12h (June 28).
  2. Fundamentals of Data Visualization. Pere-Pau Vázquez (Universitat Politècnica de Catalunya). Language: English. MORNING: 9 to 13h (June 25, 26 and 27) and 9 to 12h (June 28).
  3. Draw your research hypotheses using causal diagrams. Albert Sánchez Niubo (Universitat de Barcelona). Language: Spanish. AFTERNOON: 15 to 19h (June 25, 26 and 27) and 15 to 18h (June 28).
  4. Diseño de cuestionarios de recogida de datos con REDCap.  Judith Peñafiel Muñoz, Naiara Santos Erice, Virginia Munoa (Institut d'Investigació Biomèdica de Bellvitge), Natàlia Pallarès Fontanet (Germans Trias i Pujol Research Institute). Language: Spanish. AFTERNOON: 15 to 19h (June 25, 26 and 27) and 15 to 18h (June 28).

 Week 3: July 1 to 5

  1. Overview of Sports Analytics and Basketball Data Science with Applications in R. Marica Manisera, Paola Zuccolotto (University of Brescia), Martí Casals (Institut Nacional d'Educació Física de Catalunya). Languages: Spanish (July 1) & English (July 2, 3, and 4). MORNING: 9 to 12 (July 1) and 9 to 13h (July 2, 3, and 4).
  2. Introduction to Compositional Data Analysis. Maribel Ortego Martínez (Universitat Politècnica de Catalunya), Berta Ferrer Rosell (Universitat de Lleida). Language: English. MORNING: 9 to 13h (July 1, 2, and 3) and 9 to 12h (July 4).
  3. Applied Machine Learning to Solve Real-World Problems. Jordi Moragas Vilarnau (N26). Language: English. AFTERNOON: 15 to 18h.
  4. Introduction to Causal Inference for Data Science. Aleix Ruiz de Villa Robert. Language: English. AFTERNOON: 15 to 18h.