Software for Applied Statistics
A.Y. 2018/2019
Learning objectives
The course aims to provide students with the software knowledges
to statistical analysis in agricultural and animal science.
to statistical analysis in agricultural and animal science.
Expected learning outcomes
By the end of the course, students are expected to:
1) use advanced functions of spreedsheets (Excel) for statistical
analysis and graphs;
2) use specific software (SAS) for data mining;
3) use software (SAS) for statistical analysis in agricultural and
animal science;
4)use software (SAS) for presentations of results.
1) use advanced functions of spreedsheets (Excel) for statistical
analysis and graphs;
2) use specific software (SAS) for data mining;
3) use software (SAS) for statistical analysis in agricultural and
animal science;
4)use software (SAS) for presentations of results.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Course syllabus
Excel for statistical analysis (weighted mean, variance, regression, correlation, vertical bar and other graphs). Excel for pivot tables, filters and database functions. Data import and mining using SAS. Statistical analysis in agricultural and animal science using SAS. Presentations of results using SAS.
Teaching methods
Teacher's lecture (see Ariel website - http://atamburiniass.ariel.ctu.unimi.it/v3/home/Default.aspx).
AGR/19 - ANIMAL SCIENCE - University credits: 3
Computer room practicals: 24 hours
Lessons: 12 hours
Lessons: 12 hours
Professor:
Tamburini Alberto Giuseppe Carlo Maria
Professor(s)
Reception:
by appointment (send an email)
Dipartimento di Scienze Agrarie e Ambientali (sezione Zootecnica) via Celoria 2 Milano