- Docente: Monica Chiogna
- Credits: 6
- SSD: SECS-S/01
- Language: English
- Moduli: Edoardo Redivo (Modulo 1) Monica Chiogna (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Genomics (cod. 9211)
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from Mar 03, 2025 to Apr 15, 2025
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from Mar 17, 2025 to May 26, 2025
Learning outcomes
The course covers the fundamental aspects of probability theory and the principles of statistical inference. Upon successful completion of this Course, students are able to perform a rigorous data analysis: i) manipulate and summarize data; ii) visualize and understand relationships inside data; iii) apply the appropriate tools of probability theory and inferential statistics to extract useful information, test hypotheses and make predictions.
Course contents
- Data summaries
- Data visualization principles
- Probability theory: basic principles and rules
- Common random variables
- Introduction to inference: parameters, estimates, standard errors, margins of errors in order to construct confidence intervals, test hypotheses and make predictions
Readings/Bibliography
Ross, S. Introduction to Probability and Statistics for Engineers and Scientists [https://www.elsevier.com/books/introduction-to-probability-and-statistics-for-engineers-and-scientists/ross/978-0-12-824346-6] . 6th Ed. 2020, Academic press, ISBN:9780128243466.
Mann, P.S. Introductory Statistics, 10th Edition (2020). ISBN: 978-1-119-67419-1
Teaching methods
- Lectures.
- Discussion of case studies.
- Lab sessions.
Assessment methods
Written test
Teaching tools
- Slides of the lectures.
- Homeworks.
- Mock exam.
Office hours
See the website of Monica Chiogna
See the website of Edoardo Redivo