Computational Statistics II

Objectives

This curricular unit is especially recommended for users with some experience of programming in the SAS© system. Students will acquire skills that allow them to develop sophisticated programs for manipulating data and files, as well as analysing matrix data. The main objective of this course is to convey solid knowledge on advanced concepts of programming in SAS, in particular on SAS/IML (SAS Interative Matrix Language) and SAS/MACRO language.

General characterization

Code

400008

Credits

6.0

Responsible teacher

Ana Cristina Marinho da Costa

Hours

Weekly - Available soon

Total - Available soon

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Prerequisites

Some experience in SAS programming, or frequency of the course Computational Statistics I.

Bibliography

Teaching method

The course is based on theoretical and practical lessons that include exposure to concepts and syntax of the SAS programming language and resolution examples. Some practical sessions will focus on problem solving and exercises, including discussion of alternative resolutions.

Evaluation method

Final exam (100%) in both evaluation calls.

Subject matter

The course is organized in five Learning Units (LU):
LU1. Topics on data management in SAS
LU2. ODS - Output Delivery System
LU3. Linear regression
LU4. Introduction to SAS/IML
LU5. SAS/Macro Language

Programs

Programs where the course is taught: