# 93264 - Introductory Statistics

### Course Unit Page

• Teacher Simone Giannerini

• Learning modules Simone Giannerini (Modulo 1)
Simone Giannerini (Modulo 2)

• Credits 6

• SSD SECS-S/01

• Teaching Mode Traditional lectures (Modulo 1)

• Language English

• Campus of Bologna

• Degree Programme First cycle degree programme (L) in Genomics (cod. 9211)

• Course Timetable from Oct 19, 2021 to Jan 13, 2022

Course Timetable from Jan 28, 2022 to Feb 04, 2022

### SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda. ## 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

-- Probability Theory

1. Fundamentals of probability
2. Random variables and probability distributions
3. Functions of a random variable
4. Bivariate random variables
5. Convergence of random variables and limit theorems

-- Statistics

1. Fundamentals of statistics
2. Point estimation
3. Interval estimation
4. Hypothesis testing

-- Modern and reproducible data analysis with R and knitr

1. Introduction to R
2. Introduction to knitr

-- Main textbook

-- Probability and mathematical statistics

-- R and knitr

## Teaching methods

• Lectures.
• Classes.
• Computer science lab sessions.

All students must attend Module 1, 2 on Health and Safety online

## Assessment methods

A two-hour written examination composed of

• Exercises.
• Theoretical questions.
In case of online exams, the theoretical part will be assessed by means of an oral examination.

## Teaching tools

The following material will be provided:

• Slides of the lectures.
• Solved exercises.
• Mock exam.

## Office hours

See the website of Simone Giannerini