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.

PREREQUISITES

There are no specific requirements.

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

LESSONS

LESSONS START

According to the schedule reported here.

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.

Compensatory and dispensatory measures Disability/Invalidity/Specific Learning Disorder

Dispensatory measures and compensatory tools are intended to enable students to achieve the same learning objectives as their fellow students, not to facilitate the examination.

The use of compensatory tools and the application of dispensatory measures must be authorised in advance by the teacher in agreement with the Referee.

To take advantage of the adaptations during the examination, fill in the Adaptation request form; the request will be automatically sent by the system to the teacher in charge of the teaching, to the Contact Person of your School/Area/Department and in copy to the Sector; you will also receive a copy of the request sent by e-mail.

The adjustments available to students are as follows:

• Additional time (+30% DSA)
• Additional time (+50% disability/invalidity)
• Additional time during oral exams to organise the answer
• Calculator (programmable and graphing calculators are not allowed)
• Conceptual Maps
• Tables and/or Forms
• Take the exam in written form
• Take the exam in oral form
• Tutor reader (for written tests only)
• Tutor-writer (for written tests only)

Your request for adaptations must be submitted at least 7 working days before the scheduled exam date.

All information for students with disabilities and DSA is available on the webpage: Services for students with disabilities or DSA | UniGe | University of Genoa

Reference for inclusion: Sergio Di Domizio - sergio.didomizio@unige.it