CODE 52500 ACADEMIC YEAR 2024/2025 CREDITS 6 cfu anno 2 MATEMATICA 9011 (LM-40) - GENOVA 6 cfu anno 3 MATEMATICA 8760 (L-35) - GENOVA 6 cfu anno 2 STATISTICA MATEM. E TRATTAM. INFORMATICO DEI DATI 8766 (L-35) - GENOVA 6 cfu anno 1 MATEMATICA 9011 (LM-40) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR SECS-S/01 LANGUAGE Italian TEACHING LOCATION GENOVA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB OVERVIEW Introduction to the statistical software SAS. During the class the main Data Steps and Proc Steps required to solve simple problems of statistical data analysis are introduced. Moreover, the course involves SAS consultants and external teachers who use SAS for their working activities. AIMS AND CONTENT LEARNING OUTCOMES Provide the basis for manipulating and rendering data with the SAS system. AIMS AND LEARNING OUTCOMES At the end of the course students will be able to: use SAS software in order to autonomously tackle and solve simple problems of statistical data analysis, mainly descriptive analysis. use SAS software in order to build and present reports of the analysis read, understand, and use the on-line SAS manual and related example. PREREQUISITES Basis of univariate and multivariate descriptive statistics TEACHING METHODS Lessons are held in a computer lab. After a theoretical part concerning SAS language an exercise is carried out by the students and the related solution is discussed collectively. The course includes seminars by SAS consultants and experts who use SAS for their working activities. SYLLABUS/CONTENT Programming in SAS: Data Steps and Proc. The Data Step. Creating SAS Data Sets (from other SAS Data Sets, Text and Excel Files) SAS Data Set manipulation (observations and variables selection). SAS functions. Retain and Sum Instructions. Using arrays. Instructions Set by and first. Last. Read and manipulate DataSetSas of a different type (set, merge, update, proc append instructions). Various types of raw data reading and variables attributes. Formats for quantitative data, character and dates. The Process Procedure Step. Print, Means, Sort, Freq, Univariate, Format, Transpose procedures Some graphic procedures. Proc Gplot, Proc Gchart, Proc Boxplot. Global Graphics Instructions. Programming via MACRO. Using the SAS Enterprise Guide The proc SQL Basic statistical procedures. RECOMMENDED READING/BIBLIOGRAPHY Handouts on Aulaweb HelpOnline SAS TEACHERS AND EXAM BOARD SARA SOMMARIVA Ricevimento: By appointment arranged by email at the adress sommriva@dima.unige.it DMITRI PETRATCHENKO LUCA PICCARDO Exam Board SARA SOMMARIVA (President) EVA RICCOMAGNO DMITRI PETRATCHENKO (President Substitute) LUCA PICCARDO (President Substitute) LESSONS LESSONS START The class will start according to the academic calendar. Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION The exam consists in a written test and in the preparation and submission of a statistical analysis carried out through SAS. Two additional points to be added to the final mark of the written test can be obtained by completing the first online course SAS Programming Essential suggested by the SAS consultants. The on-line course is considered completed aftear obtaining the corresponding SAS digital badge. ASSESSMENT METHODS The written test aims at evaluating students’ ability to code simple SAS programs. The preparation and presentation of an activity carried out through SAS software aims at assessing to work independently and in a team. Exam schedule Data appello Orario Luogo Degree type Note 22/01/2025 09:30 GENOVA Laboratorio 12/02/2025 09:30 GENOVA Laboratorio 19/09/2025 09:30 GENOVA Esame su appuntamento FURTHER INFORMATION Students with disabilities or specific learning disorders (DSA) are reminded that in order to request adaptations during the exam, they must follow the instructions described in detail on Aulaweb on the "Lauree in Matematica e SMID" page. 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. Upon request by the students the lectures and/or the exam can be held in English. Agenda 2030 - Sustainable Development Goals Quality education Gender equality Decent work and economic growth