B6614 - SAS PROGRAMMING

Learning outcomes

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

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:

• Lora D. Delwiche, Susan J. Slaughter, The Little SAS Book: A Primer, Fifth Edition (English Edition) 5th Edition, 2012.

Teaching methods

Students will participate in hands-on computer lab sessions using SAS software.

Assessment methods

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:

1. Objectives of the Analysis
2. Description of the Dataset
3. SAS Code Utilized
4. 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).

Teaching tools

• Lab tutorials
• Slides

Office hours

See the website of Pegah Farzin