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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)
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Obligatory literature: Material in Moodle SAS help/manual Step-by-Step Programming with Base SAS 9.4 Recommended literature: The Little SAS Book: A Primer, Fifth Edition. Last update: Hulíková Tesárková Klára, doc. RNDr., Ph.D. (22.09.2024)
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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)
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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)
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