- Docente: Luca Trapin
- Credits: 6
- SSD: SECS-S/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
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Corso:
Second cycle degree programme (LM) in
Data, Methods and Theoretical Models For Linguistics (cod. 5946)
Also valid for Second cycle degree programme (LM) in Innovation and Organization of Culture and the Arts (cod. 0902)
Second cycle degree programme (LM) in Digital Humanities and Digital Knowledge (cod. 9224)
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from Nov 10, 2023 to Dec 11, 2023
Learning outcomes
At the end of the course the student knows basic statistical techniques concerning the data analysis. In particular the student is expected to learn: foundations of probability, descriptive and inferential statistics and simple regression.
Course contents
1. Data collection, management and visualization
2. Descriptive statistics
3. Foundations of probability
4. Statistical inference
4.1 Sampling
4.2 Estimation
4.3 Hypothesis testing
5. Simple regression
Readings/Bibliography
Suggested book
Luca Trapin, Lecture Notes for Basics Analytics.
Gary Smith, Essential Statistics, Regression, and Econometrics, Academic Press (Elsevier).
David Spiegelhalter, The Art of Statistics: Learning from Data, Pelican Book.
Teaching methods
Class lessons
Assessment methods
Written examination: theoretical questions and exercises
Grading system:
- <18: fail
- 18-23:sufficient
- 24-27: good
- 28-30: very good
- 30 e lode: excellent
Teaching tools
Class notes on IOL
Office hours
See the website of Luca Trapin
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.