90928 - Acquisition of Computer Skills and Biostatistics

Academic Year 2025/2026

  • Moduli: Claudia Patrignani (Modulo 1) Claudia Patrignani (Modulo 2)
  • Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
  • Campus: Rimini
  • Corso: Single cycle degree programme (LMCU) in Pharmacy (cod. 6688)

Learning outcomes

With this course a student acquires basic computer science knowledge, with an emphasis on computer networks, the WWW, the use of spreadsheets and the use of databases for scientific research. Acquires the basic statistical skills that allow to understand and use the methods used to analyse experimental data in the field. In particular the student will acquire working knowledge of descriptive statistics, probability and some relevant tests of statistical inference.

Course contents

Course contents

1st part:

At the end of this course the student has acquired the basics of the WWW, the use of spreadsheets such as MS Excel in order to be able to analize scientific data and create graphs. The student acquires the knowledge sufficient to use the tools that are needed to organize his/her work, including laboratory activities.

2nd part:

Experimental uncertainties and representation of measurements. Absolute and relative errors. Random and systematic errors. Sensitivity, precision and accuracy. Probability distributions. Position and dispersion indexes. Gaussian distribution. Mean, error on mean.

Probability and aleatory variables. Samples and events. Simple and complex events. Axioms of probability. Definitions of probability: a-priori, frequentist and subjective. Bernoulli theorem. Expected events. Product and sum. Conditional probability. Total probability theorem. Bayes theorem and applications to diagnostic tests.

Elements of statistical inference. Variance analysis. Comparing two groups. More than two group

Teaching methods

Lectures, slides and modules on Virtuale

Assessment methods

Multiple choice quizzes

Simulations of the exam quizzes are available on Virtuale

 


  • In order to take the examination, the student must have attended at least 80% of the laboratory exercises and 70% of the lectures. Students are reminded to check the prerequisites listed in the course structure diagram.
  • Students with learning disorders and\or temporary or permanent disabilities: please, contact the office responsible (https://site.unibo.it/studenti-con-disabilita-e-dsa/en/for-students) as soon as possible so that they can propose acceptable adjustments. The request for adaptation must be submitted in advance (15 days before the exam date) to the lecturer, who will assess the appropriateness of the adjustments, taking into account the teaching objectives.

Office hours

See the website of Claudia Patrignani

SDGs

Quality education

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