2024-2025 / STAT0806-1

Multivariate methods applied to statistics in the social sciences, Programmation SAS

Duration

20h Th

Number of credits

 Master in sociology, research focus3 crédits 
 Master in labour sciences, research focus3 crédits 
 Master in sociology, teaching focus3 crédits 
 Extra courses intended for exchange students (Erasmus, ...) (Faculty of social sciences)3 crédits 

Lecturer

Sébastien Fontaine

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

In this course, you will learn the SAS language, Statistical Analysis System, focused on statistical analysis in Social Sciences.

You will discover the SAS environment, the structure and the SAS programming language and finally, you will write programs.

The course is divided into two main parts

1. The DATA step

  • Syntax of instructions, language elements;
  • Input-Output statements;
  • Creation and management of SAS files;
  • Assignments and Expressions;
  • Use of internal functions;
  • Control structures: Repetition, conditional execution;
    ...
2. PROC step

  • Univariate analysis;
  • Graphic representations;
  • Independence test;
    ...

Learning outcomes of the learning unit

Learning the SAS programming language and statistical analyses with this software.

Prerequisite knowledge and skills

Windows environment;

Navigation in Ecampus;

Using Winzip or equivalent.

Planned learning activities and teaching methods

Ex cathedra lectures;

Exercises during class sessions;

Exercises to prepare between sessions;

Summary exercises between the chapters.

 

Suggestion: To pass this course (like many others) you will have to: -1- be present in lessons; -2- take notes (active listening) and -3- read the slides during the year.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course


Additional information:

The course is given in the first term for 2 hours per week in a room with 24 PCs.
There will be no podcast of this course (the interactive format of this teaching is not suitable for podcasting).

 

Course materials and recommended or required readings

All the slides will be available on the Ecampus platform from the first lecture.

Exam(s) in session

Any session

- In-person

written exam


Additional information:

Examination on SAS (on computer) organized in the computer rooms.

Work placement(s)

Organisational remarks and main changes to the course

Contacts

Instructor : Sébastien Fontaine
sebastien.fontaine@uliege.be

Association of one or more MOOCs