- Docente: Pegah Farzin
- Crediti formativi: 6
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Statistica, economia e impresa (cod. 8876)
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dal 11/02/2025 al 13/03/2025
Conoscenze e abilità da conseguire
By the end of the course the student acquires the operational tools for the statistical analysis of datasets and case studies, and is able to prepare reports, by using SAS
Contenuti
- SAS Overview
- Datasets, Libname, Syntax
- Datasets import and structure
- Proc Contents/Proc Print
- Data types
- Selection of observations, Operations on variables
- Proc Sort, first., last.
- Format, Informat, Proc Format
- Proc Freq, Proc Univariate, Proc Means
- Merge, Transpose
- Proc Report, ODS
Testi/Bibliografia
Handouts provided by the teacher.
Suggested reading:
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Lora D. Delwiche, Susan J. Slaughter, The Little SAS Book: A Primer, Fifth Edition (English Edition) 5th Edition, 2012.
Metodi didattici
Students will participate in hands-on computer lab sessions using SAS software.
Modalità di verifica e valutazione dell'apprendimento
Students are required to form work groups consisting of 3 to 4 members. Each group will be assigned a project from a list of topics provided at the end of the course. The project involves conducting a statistical analysis using SAS software. The final deliverable will be a PowerPoint presentation that summarizes the analysis, which must be submitted to the instructor prior to the exam.
The PowerPoint presentation should include the following sections:
- Objectives of the Analysis
- Description of the Dataset
- SAS Code Utilized
- Interpretation of Results
The oral exam will involve a presentation of the group's analysis, but grading will be done on an individual basis. To assess each student’s contribution, additional questions about SAS programming may be asked during the presentation.
Non-attending students can perform the task by choosing a dataset among those provided (RMK: write an e-mail to agree on the project before the exam).
Strumenti a supporto della didattica
- Lab tutorials
- Slides
Orario di ricevimento
Consulta il sito web di Pegah Farzin