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Lecturer(s)
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Galeta Patrik, Mgr. Ph.D.
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Course content
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1. Analysis of grave goods of past populations (contingency tables) 2. Assessment of changes of biological parameters in time (relationship between quantitative and qualitative variable) 3. Methods of estimation of body height (relationship between quantitative variables) 4. Evaluation of size and shape (principal components) 5. Biodistance analyses (clustering) 6. Methods of sex estimation (classification)
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Learning activities and teaching methods
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Lecture with practical applications, Practicum
- Practical training (number of hours)
- 26 hours per semester
- Contact hours
- 26 hours per semester
- Preparation for formative assessments (2-20)
- 20 hours per semester
- Preparation for comprehensive test (10-40)
- 32 hours per semester
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| prerequisite |
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| Knowledge |
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| KSA/AAV, KSA/AAV1, or KSS/ZZD is prerequisitet. |
| learning outcomes |
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| Students know principles of advanced quantitative methods of data analysis and interpret their own results or that published in the literature. |
| teaching methods |
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| Practicum |
| Interactive lecture |
| assessment methods |
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| Written exam |
| Test |
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Recommended literature
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Agresti, Alan; Finlay, Barbara. Statistical methods for the social sciences. Upper Saddle River : Pearson Prentice Hall, 2009. ISBN 978-0-13-027295-7.
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Hebák, Petr. Vícerozměrné statistické metody [1]. Praha : Informatorium, 2004. ISBN 80-7333-025-3.
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Hendl, Jan. Přehled statistických metod zpracování dat : analýza a metaanalýza dat. Praha : Portál, 2004. ISBN 80-7178-820-1.
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Krzanowski, W. J. Principles of multivariate analysis : a user's perspective. Rev. ed. Oxford : Oxford University Press, 2000. ISBN 0-19-850708-9.
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Legendre, Pierre; Legendre, Louis. Numerical ecology. 2nd english ed. Amsterdam : Elsevier, 1998. ISBN 0-444-89249-4.
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Manly F.B.J. Multivariate statistical methods: a primer. 3rd.
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Shennan, Stephen. Quantifying archaeology. 2nd ed. Iowa City : University of Iowa Press, 1997. ISBN 0-87745-598-8.
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