Objectives of Programme's Learning Outcomes

• Appropriately collect, analyse and interpret empirical data on issues within social and human sciences.
• Understand and implement tools and methods for collecting quantitative data.
• Process empirical data collected with care.

Learning Outcomes of UE

At the end of the instruction, the students will be able to identify and apply the fundamental principles of data analysis, according to an appropriate perspective for the human sciences and this, with descriptive and inferential points of view.

Content of UE

Descriptive statistics: setting different data (tabular forms, graphical forms) ; statistical indices (mean, median, mode, standard deviation, … ; parametric correlation (r of Bravais-Pearson) descriptive aspects... Probabilities and theorical distributions (normal and binomial) Inferential statistics (interval determination and statistical tests)

Prior Experience

Not applicable

Type of Assessment for UE in Q1

• N/A

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

• N/A

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

• N/A

Q3 UE Assessment Comments

Not applicable

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable