SubjectsSubjects(version: 964)
Course, academic year 2024/2025
   Login via CAS
SAS Applications in Demography I - MD360P22
Title: SAS Applications in Demography I
Czech title: Demografické aplikace SAS I
Guaranteed by: Department of Demography and Geodemography (31-360)
Faculty: Faculty of Science
Actual: from 2024
Semester: winter
E-Credits: 3
Examination process: winter s.:combined
Hours per week, examination: winter s.:1/1, Ex [HT]
Capacity: unlimited
Min. number of students: 5
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Level: specialized
Additional information: https://dl2.cuni.cz/course/view.php?id=2336
Note: enabled for web enrollment
Guarantor: doc. RNDr. Klára Hulíková Tesárková, Ph.D.
Incompatibility : MD360P38
Annotation -
Basic work with SAS software (programming principles, basic procedures, data handling, outputs) using demographic data. Students will learn the basic principles of working in statistical software, necessary data preparation and possible applications in the field of demography.

After completing the course, students understand the main advantages of using statistical software for their own professional work, master effective data preparation and control, navigate the system of procedures, master basic code formulation, and can actively use other SAS tools (manual, model solved examples system, online support) to easily handle their own analytical tasks. Graduates are fully prepared for the follow-up courses.

Lectures and exercises are not separated; for each topic, a brief theoretical introduction and explanation (of methods, principles, etc.) is directly followed by practical examples.

The course is delivered as a block course in English and is primarily intended for the Master's students of Demography in combined form! For this reason, it is largely based on self-study and independent preparation and work of the students; during the block-based direct lectures, the material is not lectured again but only briefly summarized and practiced.


All materials, data, and examples are available via Moodle. The SAS manual, online resources, and the SAS online course are used. This is supplemented with additional topics during the semester. Using a faculty email address to access the online SAS course is REQUIRED. Consultations are available anytime during the semester online (terms are set via email) or in person at the faculty.


For detailed and up-to-date course and teaching information - see Moodle. All enrolled students should be logged in to the course in Moodle from the beginning of the semester to monitor discussions and, if applicable, up-to-date information or examples supplied.


Last update: Hulíková Tesárková Klára, doc. RNDr., Ph.D. (22.09.2024)
Literature -

Obligatory literature:

Material in Moodle

SAS help/manual

Step-by-Step Programming with Base SAS 9.4

PDF (19.3MB)  |   HTML  

Recommended literature:

The Little SAS Book: A Primer, Fifth Edition. 

Book excerpt  |   Buy

Last update: Hulíková Tesárková Klára, doc. RNDr., Ph.D. (22.09.2024)
Requirements to the exam -

The final evaluation consists of two parts:

1. Independent work during the semester using examples and materials in SAS. The basis of the independent work is based on the SAS online course - its completion is compulsory and students prove their completion by an automatically generated certificate of successful completion of the online course (badge).

2. The semestral project is the development of a comprehensive analysis of own demographic data in the SAS environment. This is a basic descriptive statistics of datasets, variables and relationships between them, including corresponding outputs (tables or graphs). The goal is to adequately select methods from all the methods discussed during the semester that are appropriate for the students' defined goals for their own work. The result of the semester project is submitted electronically in the Moodle environment or by e-mail in the form of an A1 poster, which is (if possible) presented in the student poster session of the international conference Young Demogrpahers. Examples of solutions are available in Moodle. The semester project can be consulted during the semester or worked on during the term of the block direct lectures.

Detailed and up-to-date information - see Moodle

Last update: Hulíková Tesárková Klára, doc. RNDr., Ph.D. (22.09.2024)
Syllabus -

1) Introduction to the SAS software 

2) Types of files, libraries, data import (IMPORT, EXPORT, LIBREF)

3) Data step, procedures, basic principles of coding, proc PRINT, proc CONTENTS

4) Basic work with data files

5) Proc MEANS, Proc UNIVARIATE

6) WHERE, IF, ELSE, OUTPUT

7) Work with data files – SET, MERGE, SORT, DROP, KEEP

8) Proc TABULATE, Proc FREQ, option BY

9) Enrichment of the previous procedures, examples

10) Graphical outputs – PLOT, TITLE, FOOTNOTE

11) Enrichment of the previous procedures

12) Finishing of the semestral project

Last update: Hulíková Tesárková Klára, doc. RNDr., Ph.D. (22.09.2024)
 
Charles University | Information system of Charles University | http://www.cuni.cz/UKEN-329.html