INTRODUCTION TO PROBABILITY FOR ECONOMICS

Academic year
2020/2021 Syllabus of previous years
Official course title
INTRODUCTION TO PROBABILITY FOR ECONOMICS
Course code
LT9029 (AF:332319 AR:177770)
Modality
On campus classes
ECTS credits
6
Degree level
Bachelor's Degree Programme
Educational sector code
SECS-S/01
Period
1st Term
Course year
1
Moodle
Go to Moodle page
This course focusses on data analysis, probability theory and statistical inference following a concept-driven approach. Students will learn the main practical concepts that are widely applied in economics and social sciences, when professionals and researchers need to collect and analyse data in order to take decisions or make predictions. The technical use of mathematics will be kept at a very basic level, in order to introduce undergraduate students to probabilitic reasoning and statistical methods.
The course aims at introducing students to the probabilistic and statistical tools used in the analysis and in the interpretation of empirical evidence in economics and in the social sciences, in order to allow them to interact with researchers and practitioners working in those fields.
Basic knowledge of mathematics (middle school level)
1. Statistics: scopes and methods. Data description: graphical and numerical summaries. Data collection.
2. Probability, probability distributions, sampling distributions.
3. Statistical inference: point and interval estimation.
4. Statistical inference: testing statistical hypothesis.
5. Association between variables: contingency and regression.
Agresti A., Franklin C. and Klingenberg B. (2017): Statistics. The art and science of learning from data. Pearson. Chapters 1-10; Chapter 11 (sections 11.1-11.3).
The final assessment consists in an oral exam accessible after passing a written test. The written test is composed by multiple choice questions. Examples of multiple choice questions are available on Ca' Foscari Moodle elearning platform.
Lecture-style presentations will be given.
English
Students are invited to register to the course on Moodle platform (moodle.unive.it), where they can find additional meterial.
written and oral
This programme is provisional and there could still be changes in its contents.
Last update of the programme: 27/09/2020