- Docente: Cristina Poletti
- Credits: 4
- Language: English
- Moduli: Andrea Gardani (Modulo 1) Cristina Poletti (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Statistical Sciences (cod. 9222)
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from Sep 17, 2024 to Oct 24, 2024
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from Nov 12, 2024 to Dec 10, 2024
Learning outcomes
By the end of the course, the student acquires the operational tools for the analysis of case studies and he is able to prepare reports by using SAS and to present them with the use of Microsoft Power Point.
Course contents
- 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
Readings/Bibliography
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.
Teaching methods
- Computer laboratory sessions using SAS.
As concerns the teaching methods of this course unit, all students must attend Module 1, 2 [https://www.unibo.it/en/services-and-opportunities/health-and-assistance/health-and-safety/online-course-on-health-and-safety-in-study-and-internship-areas] on Health and Safety online
Assessment methods
Students are requested to create work groups made of 3-4 individuals max. A project will be assigned to each group among a list of projects provided by the end of the course. Each project will consists on a statistical analysis to be performed using SAS. A powerpoint document with analysis will be provided to the teacher before the exam.
The document must contain:
- analysis objectives;
- description of the used dataset;
- used SAS code; and
- interpretation of the results.
The oral exam will consists of the powerpoint presentation of the analysis. The evaluation will be made on an individual basis (i.e. not group basis). In order to evaluate each student individually, extra questions on SAS programming can be asked during the session.
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).
Teaching tools
- Lab tutorials
- Slides
Office hours
See the website of Cristina Poletti
See the website of Andrea Gardani