Introduction to Programming with R (19151) Basic Statistics (19152)

- Ability to deal with all the stages in survey design. - Ability to analyze survey data. - Knowledge of sampling methods.

1. Introduction on Survey Research 2. Surveys and the Research Process 3. Measurement - Conceptualizing Ideas and operationalizing questions - Pre-Testing Questions - Measurement error - Validation and reliability 4. Modes of Data Collection - Face-to-face - Telephone / Mobile - Web / Online panels / SMS / Others - Mixed methods 5. Sampling and Populations 5.1. Introduction to sampling theory - Validity - Error 5.2. Types of samples - Probabilistic - Non-probabilistic - Hidden-populations - Graph/network approaches 5.3. Post-sampling adjustments - Variance estimation - Weighing - Non-response

Training Activities: - Theoretical-practical classes - Laboratory practical sessions - Group work - Individual student work - Partial and final examinations Teaching Methods: - Presentations in the professor's lecture room with computer and audiovisual support, in which the main concepts of the subject are developed and a bibliography is provided to complement the students' learning. - Critical reading of texts recommended by the subject professor: Press articles, reports, manuals and/or academic articles, either for later discussion in class, or to expand and consolidate knowledge of the subject. - Resolution of practical cases, problems, etc. raised by the professor, either individually or in a group. - Presentation and discussion in class, under the moderation of the professor, of topics related to the content of the subject, as well as practical case studies. - Developing pieces of work and reports, individually or in group.