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About the school | Application process | Courses | Approval credits in the Winter School
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The 7th edition of the Winter School in Methods and Data Analysis will be held from 14 to 24 July 2020

The School has two sessions. The first session offers introductory courses to statistics, R, STATA and PYTHON as well as a leveling course in Mathematics. The introductory courses have a class load of 16 hours. The second session offers a variety of courses in research methods with a load of 20 hours. The methodological courses cover several quantitative and qualitative research methods, research designs, as well as techniques for data collection and measurement, combining theoretical and hands-on (lab) sessions.

The Winter School offers a unique opportunity to get in touch with an interesting group of instructors as well as social scientists and professionals from diverse areas and varied countries.

List of instructors, 2020 edition:

Laura Atuesta
Ph.D. in Agricultural and Applied Economics, University of Illinois
Coordinator of the Drug Policy Program at CIDE, México.

Jack Bowers
Ph.D. In Political Science, University of California, Berkeley
Associate Professor, Department of Political Science, Department of Statistics, NCSA

Patricia Cerizola
Diploma in Didactics of Mathematics, UCU, Uruguay
Bachelor degree in Mathematics and Engineer, Universidad de la República, Uruguay
Professor, Department of Mathematics, UCU, Uruguay

Scott Cunningham
Ph.D. in Economics, University of Georgia
Professor of economics at Baylor University, Waco.

Carlos Díaz
PhD in Economics,  Maxwell School of Syracuse University
Assistant Professor, Department of Social Sciences, Universidad Católica del Uruguay.

Diego Hernández
Ph.D. in Urban Studies, Pontificia Universidad Católica de Chile
Assistant Professor, Department of Social Sciences, Universidad Católica del Uruguay.

Gabriel Katz
Ph. D. in Social Sciences, California Institute  of  Technology (Caltech), USA
Associate Professor, Exeter University.

Martín Lavalleja
Bachelor Degree in Economics. Facultad de Ciencias Económicas y de Administración, Universidad de la República, Uruguay. CEPAL consultant.

Inés Levin
Ph. D. in Social Sciences, California Institute  of  Technology (Caltech), USA
Assistant Professor, Department of Political Science, University of California, Irvine, USA

Gabriela Mathieu
Bachelor Degree in Economics. Facultad de Ciencias Económicas y de Administración, Universidad de la República, Uruguay.

Ernesto Ocampo
PhD in Computer Science, Universidad de Alcalá, Spain
Master in Software Engineering, Universidad Pontificia de Salamanca, Spain
Computer Engineer (UCU), Uruguay

José Manuel Paz y Miño
PhD in Economics, University of Indiana
Assistant Professor, Department of Social Sciences, Universidad Católica del Uruguay.

Gonzalo Pennino
Master in Business Administration (UCU), Uruguay
Computer Engineer (UCU), Uruguay

Rafael Piñeiro
PhD in Political Science, Pontificia Universidad Católica de Chile
Assistant Professor, Department of Social Sciences, Universidad Católica del Uruguay.

Rosario Queirolo
Ph.D. in Political Science, University of Pittsburgh, USA.
Associate Professor, Department of Social Sciences, Universidad Católica del Uruguay.

Cecilia Rossel
PhD in Government & Public Administration, Instituto Universitario Ortega y Gasset – Universidad Complutense de Madrid, Spain
Assistant Professor, Department of Social Sciences, Universidad Católica del Uruguay.

Paulo M. Serôdio
Ph.D. in Political Economy, University of Essex.
Researcher, Economic History Department, University of Barcelona

Emiliano Tealde
PhD in Economics, University of Siena
Assistant Professor, Department of Social Sciences, Universidad Católica del Uruguay.

Gustavo Vázquez
PhD in Computer Science, Universidad Nacional del Sur (Argentina).
Bachelor Degree in Computer Science, Universidad Nacional del Sur (Argentina).

Usually all courses are taught in Spanish. In cases where courses are taught in English, explicit reference is made.

The number of participants per course is limited. We recommend making early applications. It is possible to attend a course in the morning and an afternoon course in each session. In any case, applicants must pay special attention to the tasks and exercises required outside of class time. It is also important to pay attention to the "course requirements" before applying, which are clearly expressed in the descriptions of each course.

Students can refresh their mathematical knowledge in an intensive course, "Mathematics for Social Sciences", which is offered free of charge to all participants of the Winter School. It is not possible to attend the math course without participation in at least one other course of the School.

Important (for credit revalidation): Those students who are interested in obtaining a diploma of course approval must take an external examination that will be evaluated by the respective instructors after the end of the Winter School. To request this option, students must first communicate with the School (eim@ucu.edu.uy) prior to the beginning of the course.

The School does not provide accommodation or travel aid. Travels to the city of Montevideo, as well as accommodation are the responsibility of each participant. In addition to the courses, the School organizes academic and recreational activities during and at the end of the school days. The dynamic combines seminars in research topics of special interest with spaces for recreation to enjoy the cultural life of the city of Montevideo.

For inquiries about courses and applications to:

Organization of the Winter School in Methods and Data Analysis UCU-DCSP
Department of Social and Political Sciences
Faculty of Human Sciences
eim@ucu.edu.uy