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Course, academic year 2023/2024
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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 2023 to 2023
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: English
Level: specialized
Is provided by: MD360P38N
Additional information: https://dl2.cuni.cz/course/view.php?id=2336
Note: enabled for web enrollment
Guarantor: prof. RNDr. Jitka Rychtaříková, CSc.
Teacher(s): RNDr. Klára Hulíková Tesárková, Ph.D.
Incompatibility : MD360P38
Annotation -
Basic work with SAS software (principles of programming, basic procedures, data processing, outputs) using demographic data. Students will learn basic principles of work in statistical software, necessary data preparation and possible applications in demography.

For detail information - see Moodle
Last update: Kurtinová Olga, RNDr. Mgr., Ph.D. (13.05.2022)
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: Kurtinová Olga, RNDr. Mgr., Ph.D. (13.05.2022)
Requirements to the exam -

The final evaluation consists of two parts:

Continuous work includes assignments based on the subject matter covered in lessons using its own data. The assignement and submission takes place in the Moodle. Completion of the task, its completeness and quality will be evaluated by points from 0 to 100 (in Moodle). During the semester, 6 tasks are planned (to be specified according to the subject matter). The deadline for submitting individual tasks is 2 weeks from the assignment (for each task will be specified in Moodle and during the lesson). Delay of performance can be arranged individually and only before the deadline for submission.

The semestral project presents a comprehensive analysis of own demographic data in SAS. These are basic descriptive statistics of data files, variables and relationships between them, incl. adequate outputs. The terms of submission will be specified in Moodle and during classes.

For detail information - see Moodle

Last update: Kurtinová Olga, RNDr. Mgr., Ph.D. (13.05.2022)
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

11) Enrichment of the previous procedures

12) Finishing of the semestral project

Last update: Kurtinová Olga, RNDr. Mgr., Ph.D. (13.05.2022)
 
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