OVERVIEW

Free-choice unit suggested for students of the Curriculum "Analytical Chemistry for study of the Environment", best at the first year. The unit introduces the student to the descriptive statistical analysis of multivariate data, specifying the methodologies used from a theoretical point of view and developing the essential skills for interpreting the data under investigation.

AIMS AND CONTENT

LEARNING OUTCOMES

Theoretical and applied knowledge of the main scientific data analysis techniques, with particular reference to analytical data. Ability to use statistical tools for data processing and validation of analytical methods.

AIMS AND LEARNING OUTCOMES

Participation in the proposed activities (lectures and classroom exercises) and individual study will allow the student to:

1. understand the basic theoretical aspects of the main techniques of statistical analysis of scientific data, with particular reference to analytical data;

2. apply these methods to the statistical processing of analytical datasets.

TEACHING METHODS

The unit is divided into lectures held by the teachers in which the theory will be presented, and classroom exercises with the use of specific software. In their personal work, the students will have to acquire the basic theoretical knowledge of the main techniques of statistical data analysis and be able to apply them to analytical datasets, also making use of self-assessment exercises and quizzes available on Aulaweb.

SYLLABUS/CONTENT

Introduction to data analysis. Experimental design. Data pre-treatment. Data display. Pattern recognition. Regresion analysis. Statistics for analytical method validation.

RECOMMENDED READING/BIBLIOGRAPHY

David Livingstone. A Practical Guide to Scientific Data Analysis. John Wiley & Sons, 2009. ISBN: 978-0-470-85153-1.

TEACHERS AND EXAM BOARD

Exam Board

MARCO GROTTI (President)

FRANCISCO ARDINI (President Substitute)

LESSONS

LESSONS START

From February 24th, 2025

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam consists in the presentation of a previously assigned case study, a quiz with multiple choice questions, and some questions relating both to the project and to the other topics covered during the lessons. Each part is carried out during the same session and has to be sufficient to pass the exam. The project is accomplished by working in groups of 2-3 students and presented collectively, whereas the answers to the quiz and oral questions are individual. A simulation of the quiz for exam preparation is available on AulaWeb starting from the end of the lessons.

ASSESSMENT METHODS

Details on how to prepare for the exam and on the degree of detail of each topic will be given during the lessons. Through the presentation of the project, the ability to properly apply the methods of statistical processing described in class to a set of analytical data is evaluated. The multiple-choice quiz and the oral questions allow to evaluate the understanding of the basic theoretical aspects of the main statistical analysis techniques. In this way, the commission is able to evaluate if the learning outcomes have been achieved. If not, the student is asked to study more thoroughly and/or take benefit from further explanations by the teachers.

FURTHER INFORMATION

Oral lessons will be delivered in Italian language, but the slides are in English.

Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Sergio Di Domizio (sergio.didomizio@unige.it), the Department’s disability liaison.