BIOTECHNOLOGY | University of Parma

Professor: Antonio BODINI
Academic discipline: Ecologia (BIO/07)
Field: Discipline biotecnologiche con finalità specifiche: biologiche e industriali
Type of training activity: Characterising

40 hours
of face-to-face activities

5 credits

hub: PARMA

course unit
in

lectures timetable unavailable

exam calls

Integrated course unit module: Statistics and Informatics applied to biotechnology

Learning objectives

Main objective of this introductory course to data analysis is to let the student becoming familiar with the discipline, its logic and its tools. In particular the student should develop the skill to select data that are most appropriate to solve a question and by which tools such data can be appropriately analyzed.

Prerequisites

Elemantary mathematics: matrices, limits, derivatives.

Course unit content

Main contents of the course are probability theory and related distributions (normal, binomial);experimental data and their treatment (tables, chartsm, hystograms) and the most important elementary statistical tests (Z, T, ANOVA, Regression, Correlation).

Full programme

1.Sampling and data: descriptive statistics
2.Probability theory
3.Random variables and their distributions
4. Sampling
5. Estimation problems: Z and t distributions, and differences between two means
6. Hypothesis testing
7. One-way and two-way ANOVA
8. Regression

Bibliography

T.H. Wonnacott, R.J. Wonnacott
Introductory Statistics
Franco Angeli

Teaching methods

Concepts are explained in classroom-taught lessons and exercises are assigned to the students to make the concept they have learned theoretically operational.

Assessment methods and criteria

Written examination with questions concerning the concepts illustrated in the classroom and exercises.

Other information

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2030 agenda goals for sustainable development

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Contacts

Toll-free number

800 904 084

Student registry office

T. +39 0521 905116
E. segreteria.scienze@unipr.it

Quality assurance office

Education manager
Elisabetta Davolio Marani
T. +39 0521 905613
Office E. didattica.scvsa@unipr
Manager E. elisabetta.davoliomarani@unipr.it

Course President

Prof Mariolina Gulli'
E. mariolina.gulli@unipr.it

Faculty advisor

Prof Giovanna Visioli
E. giovanna.visioli@unipr.it
Prof Benedetta Passeri
E. benedetta.passeri@unipr.it

Career guidance delegate

Prof Paola Goffrini
E. paola.goffrini@unipr.it

Erasmus delegates

Prof Elena Maestri
E. elena.maestri@unipr.it

Quality assurance manager

Prof. Mario Veneziani
E. mario.veneziani@unipr.it

Internships

Prof. Mariolina Gullì
E. mariolina.gulli@unipr.it

Tutor students

Ms Beatrice Giardina
E. beatrice.giardina@studenti.unipr.it

Ms Sophia Luche
E. sophia.luche@unipr.it

STATISTICS AND INFORMATICS APPLIED TO BIOTECHNOLOGY - STATISTICS cod. 1008577