The course aims to introduce the basic logical and conceptual methodologies to lead learners to a correct approach to the problems of data analysis. The objectives concern a correct use of formalization and analysis procedures in the application of probability theory and statistics.

Probability: fundamental concepts

Probability functions

Monte Carlo method

Statistical tests

Parameter estimation: general concepts

Maximum Likelihood method

Least square method

Statistica errors, confidence intervals and limits

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Knowledge and understanding: the student will have to know the fundamental concepts of probability theory and be able to identify the appropriate statistical methodologies in the analysis of experimental data.
Applied knowledge and understanding: the student must be able to apply the methods studied to real problems by providing a correct statistical description of the experimental data and interpreting the results correctly.
Autonomy of judgment: the student must be able to independently evaluate the plausibility of the result of an analysis, both through the comparison between different possible approaches, and through analogical considerations and scientific common sense.
Communication skills: the student will have to acquire a correct scientific language and the ability to explain the statistical characteristics of the analyzed data.
Ability to learn: the student will be able to deepen specific concepts, not presented during the course, on scientific texts.

The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it

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Teaching

Lectures and classroom exercises.

Attendance

Attendance is strongly recommended.

Course books

Statistical Data Analysis - Glen Cowan - Oxford University Press

Assessment

Written test: problems of probability and statistics.

Oral test: questions on the entire program carried out.

Disability and Specific Learning Disorders (SLD)

Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.

To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.

Course books

Statistical Data Analysis - Glen Cowan - Oxford University Press

Assessment

Written test: problems of probability and statistics.

Oral test: questions on the entire program carried out.

Disability and Specific Learning Disorders (SLD)

Students who have registered their disability certification or SLD certification with the Inclusion and Right to Study Office can request to use conceptual maps (for keywords) during exams.

To this end, it is necessary to send the maps, two weeks before the exam date, to the course instructor, who will verify their compliance with the university guidelines and may request modifications.

The student must be able to apply the basic concepts of mathematical analysis.