EXPERIMENTAL DATA PROCESSING
ELABORAZIONE DEI DATI SPERIMENTALI
| A.Y. | Credits |
|---|---|
| 2021/2022 | 9 |
| Lecturer | Office hours for students | |
|---|---|---|
| Gianluca Maria Guidi | Friday, 4 pm- 6 pm. |
| Teaching in foreign languages |
|---|
|
Course with optional materials in a foreign language
English
This course is entirely taught in Italian. Study materials can be provided in the foreign language and the final exam can be taken in the foreign language. |
Assigned to the Degree Course
| Date | Time | Classroom / Location |
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| Date | Time | Classroom / Location |
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Learning Objectives
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.
Program
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
Bridging Courses
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Learning Achievements (Dublin Descriptors)
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.
Teaching Material
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
Supporting Activities
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Teaching, Attendance, Course Books and Assessment
- 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.
- Disabilità e DSA
Le studentesse e gli studenti che hanno registrato la certificazione di disabilità o la certificazione di DSA presso l'Ufficio Inclusione e diritto allo studio, possono chiedere di utilizzare le mappe concettuali (per parole chiave) durante la prova di esame.
A tal fine, è necessario inviare le mappe, due settimane prima dell’appello di esame, alla o al docente del corso, che ne verificherà la coerenza con le indicazioni delle linee guida di ateneo e potrà chiederne la modifica.
Additional Information for Non-Attending Students
- 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.
- Disabilità e DSA
Le studentesse e gli studenti che hanno registrato la certificazione di disabilità o la certificazione di DSA presso l'Ufficio Inclusione e diritto allo studio, possono chiedere di utilizzare le mappe concettuali (per parole chiave) durante la prova di esame.
A tal fine, è necessario inviare le mappe, due settimane prima dell’appello di esame, alla o al docente del corso, che ne verificherà la coerenza con le indicazioni delle linee guida di ateneo e potrà chiederne la modifica.
Notes
The student must be able to apply the basic concepts of mathematical analysis.
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