SubjectsSubjects(version: 964)
Course, academic year 2024/2025
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SAS Applications in Demography I - MD360P38N
Title: Demografické aplikace SAS 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: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Level: specialized
Additional information: https://dl2.cuni.cz/course/view.php?id=2336
Note: enabled for web enrollment
priority enrollment if the course is part of the study plan
Guarantor: doc. RNDr. Klára Hulíková Tesárková, Ph.D.
Teacher(s): RNDr. Kateřina Brázová, Ph.D.
doc. RNDr. Klára Hulíková Tesárková, Ph.D.
Mgr. Lukáš Kahoun
Incompatibility : MD360P38
Is incompatible with: MD360P38
Is pre-requisite for: MD360P62, MD360P61
Is interchangeable with: 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.



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

Teaching during the semester is in the standard present form; some weeks will be focused on new material and other weeks on practice. Practice topics (about 2-3 weeks of the semester) can be organized (in case of a mutual agreement) in the form of self-study, where students solve the assigned examples independently as a substitute for present lecture, i.e. at their own pace at any time during the week. In this case, individual consultations would be possible during the lecture time. Everything will be specified in the introductory classes and during the semester, according to the progress and needs of the enrolled students.


Information on options and tools for self-study or combined study:
- Moodle tools are ready and available.
- The materials are shared in Moodle, ev. Moodle is available in Moodle, or by sharing Google Disc folders. Examples and learning data are also available in Moodle.
- Students have at their disposal mainly instructional and demonstration videos containing both the basic explanation of the topic and the explanation and solution procedure of the model examples. This allows you to work at your own pace and also to revisit issues already covered. In addition, brief texts, links to online resources, presentations and solved and unsolved examples are provided for study. For the combined form of learning, live online webinars are organised or can be arranged individually, during which specifics will be added to the pre-delivered tutorial video, problems explained, additional procedures demonstrated live, and students can be consulted live on their procedures and solutions. This tool will also be used in the combined form of study for consultation or when students need it.

- Any changes during the semester necessitated by serious circumstances will be discussed with students, ev. they will be communicated to the students with an explanation (primarily using the e-mail registered in SIS and the discussion forum in Moodle).


During the semester, lectures and exercises prepared for students in the combined form are available for the present students as well (recommended e.g. in case of absence or interest in repeating and practicing or deepening a topic), students of the combined form can attend the present lectures too (note only the dates when present classes may not be held).


Detailed and up-to-date information on the course and teaching - see Moodle.


Last update: Hulíková Tesárková Klára, doc. RNDr., Ph.D. (28.08.2024)
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. (05.10.2021)
Requirements to the exam -

The final evaluation consists of two parts:

1. Continuous work includes Moodle assignments based on the material covered in class, using your own or supplied data. The assignment and submission is done principally in Moodle. The completion, completeness and quality of the assignment will be assessed with a score from 0 to 100 (in Moodle). The deadline for submission of each assignment is 2 weeks from the date of submission in Moodle (the exact date is always specified in Moodle). Postponements (in case of illness or other serious circumstances) can be arranged individually and (if possible) before the original submission deadline.

2. The semester project is a comprehensive analysis of own demographic data in SAS environment. It is a basic descriptive statistics of data sets, 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 A3 poster, which is (if possible) presented in the student poster session of the international conference Young Demogrpahers.

In case of combined form of the study, continuous work is replaced by successful completion of a specified online course SAS - Essential Programming or higher. Information about the course and access to it is updated in Moodle. A faculty email is required to enroll in the online SAS course. Even in the combined form of study, a semester project is needed.

Detailed and up-to-date information - see Moodle

Last update: Hulíková Tesárková Klára, doc. RNDr., Ph.D. (29.08.2024)
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) Proc CORR

10) Graphical outputs – PLOT, TITLE, FOOTNOTE etc.

11) Enrichment of the previous procedures

12) Finishing of the semestral project

Lecture in the first week of the semestre is replaced by: https://www.natur.cuni.cz/geografie/demografie-a-geodemografie/aktuality/prednasky-vyznamnych-zahranicnich-hostu 

More info in Moodle.

Last update: Hulíková Tesárková Klára, doc. RNDr., Ph.D. (29.08.2024)
 
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