I. Statistical methods for Social Sciences (Frédéric Bedel) 10 h TD

1. Statistical data (Collection, presentation, calculating the parameters)

2. Estimators (Estimating the usual parameters, confidence intervals)

3. Hypothesis testing (The different types of error, the chi-squared test)

4. Linear regression

5. Applied methods: Excel spreadsheet, Access data base software

II. An introduction to quantitative research methodology (Johannes Dahm) 10 h TD

1. Introduction: empirical research in the humanities and social sciences: quantitative and qualitative approaches (epistemology, position, hypotheses and theories).

2. Quantitative methodology: data collection based on research question (theoretical bases, hypotheses, approaches, scales, index...).

3. Quantitative research methodology: quality criteria, types of investigation, samples.

4. Quantitative methodology: standardized investigations, construction of a questionnaire.

5. Quantitative measures: statistics (descriptive and inferential).

6. Preparation of a questionnaire: carrying out a survey, design, type of questionnaire.

7. Preparation of a questionnaire: types of questions, objectives, order of questions, effects.

8. State of the research: presentation of questionnaires, ideas, discussion, adaptations.

9. From collection to exploitation of data:  documentation, databases, assessment.

10. Presentation of surveys: construction, design, database, analysis, validity.

III Strategic foresight (Marion Bouder)

Tutorials on competitive intelligence and technological and legal watch, in other words a regular, organized and strategic monitoring of new European, national and regional schemes.

Presentation and use of electronic tools which facilitate the watch and the study of the socio-economic context.