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Introduction to the SAS Statistical Package

East Baltimore
4th term
3 credits
Academic Year:
2021 - 2022
Instruction Method:
Class Times:
  • Tuesday,  1:30 - 2:50pm
Lab Times:
  • Thursday,  1:30 - 2:50pm
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
McDemott, Aidan

140.622 or 140.652 (may be taken concurrently), or former 140.602


Designed for students with no experience with SAS.

Designed for students with no experience with SAS. Familiarizes them with the skills needed for effective data management and

data analysis. First covers performing exploratory analysis on data including the creation of tables and graphs. Proceeds

next to creating new datasets and altering old datasets. The final part of the course covers building regression models (linear,

logistic, and Poisson), interpreting results and criticizing such models and attempting to improve them.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Use the SAS statistical package, mastering the skills needed for effective data management, data manipulation, and data analysis
  2. Write and execute programs using SAS syntax
  3. Read and transform data in preparation for statistical analysis
  4. Create tabular and graphical displays of data
  5. Perform simple statistical analyses such as linear and logistic regression
Methods of Assessment:

Student evaluation is based on weekly labs

Instructor Consent:

No consent required

Special Comments:

Both the lecture and lab will be held in one of the School's computer labs.