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Office Programming. Part 2.

Major: Information, library and archival studies
Code of Subject: 6.029.00.O.74
Credits: 4
Department: Social Communication and Information Activities
Lecturer: Associate Professor Ulyana Yarka
Semester: 8 семестр
Mode of Study: денна
Learning outcomes:
Students should be able to use modern methods of computer data analysis .Them have formed the theoretical and practical skills qualified to conduct research data, find dependencies, build forecasts, handle the massive research, monitoring, quality control, sampling plan of experiment.
Required prior and related subjects:
• Computer Science and computer Ingineering. Part 1;
• Computer Science and computer Ingineering. Part 2;
• The theoretical basis of the information;
• Office programing. Part 1.
Summary of the subject:
Discrete and continuous random variables. The population. A representative sample. Main distributions. Options distributions.General population and sampling their characteristics. Testing hypotheses about the distribution of the population. Regression analysis. Correlation analysis.
Recommended Books:
1. Borovikov V. Statistica Art on a computer analysis of the data. - St. Peter P : 2001.
2. Bіlushak G.І..ChabanyukYa.M. Probability Theory and Mathematical Statistics. Lectures. Lviv: The quantity "Lvіvsky TSNTEІ" 2002
3. Bіlushak G.І..ChabanyukYa.M. Probability Theory and Mathematical Statistics. Workshop. Lviv: As of "The Edge" 2002.
Assessment methods and criteria:
• speaking-written form (100%)