Preparatory course in Statistics / Master in Public Policy and Innovative Governance / 麻豆社-Bolzano

Preparatory course in Statistics

Semester 1 路 27425 路 Master in Public Policy and Innovative Governance 路 0CP 路 EN

Preparatory course in Statistics:
The course is designed to acquire or review the core competencies in Statistics and Probability, necessary to more advanced topics (descriptive statistics, probability, random variables and inferential statistics).

Teaching Hours: 36 (TBA)
Lab Hours: -
Mandatory Attendance: Attendance is suggested, but not required. Students without a background in Statistics and Probability are strongly recommended to attend the 鈥減reparatory course鈥� in Statistics and Probability organized at the beginning of the first semester.

Educational objectives
鈥� Knowledge and understanding: Students learn the basics of probability and statistical theory. 鈥� Applying knowledge and understanding: Students develop the ability to analyze real data by exploiting via tables, graphical tools, and data summaries. 鈥� Making judgments: Ability to describe and discuss specific economic issues with a critical point of view by analysing data or evaluating probabilities. 鈥� Communication skills: Ability to present in a consistent and precise way the results obtained from the statistical or probabilistic analysis. 鈥� Learning skills: Ability to understand and analyse the economic data from a quantitative perspective.

Evaluation criteria
The test will have no negative consequences, as it is aimed at making aware students of their own knowledge. In case of 鈥渘ot-passed鈥� outcome, the student could decide with the lecturer how to improve his/her knowledge.

Further information
Lecturer to be defined

Sustainable Development Goals
This teaching activity contributes to the achievement of the following Sustainable Development Goals.