Study programmes / B-ARB Arboristics / Statistics for Final Theses
Course code:AND
Course title in language of instruction:Statistika pro závěrečné práce
Course title in Czech:Statistika pro závěrečné práce
Course title in English:Statistics for Final Theses
Mode of completion and number of credits:Fulfillment of requirements (3 credits)
(1 ECTS credit = 28 hours of workload)
Mode of delivery/Timetabled classes:full-time, 0/2; part-time, 10/0
(full-time, hours of lectures per week / hours of seminars per week; part-time, lectures per period / seminars per period)
Language of instruction:Czech
Level of course:bachelor; master; master continuing
Semester:WS 2018/2019 - FFWT
Name of lecturer:Ing. Zdeněk Adamec, Ph.D. (examiner, instructor, lecturer)
doc. Ing. Karel Drápela, CSc. (examiner, instructor, lecturer, supervisor)
Prerequisites:none
 
Aims of the course:Knowlege of correct methods of data analysis, theit mathematical-statistical processing, interpretation of results and theoretical background of used methods, application of suitable methods in diploma and bachelor thesis
Course contents:
1.Summarising lectures of basic statistical methods - 3-4 lectures (allowance 12/0)
2.Individual consultancy (allowance 30/0)

Learning outcomes and competences:
Generic competences:
 
-ability to analyse and synthesize
-ability to apply knowledge
-ability to comment on performance of others and to self-reflect
-ability to create new ideas (creativity)
-ability to make decisions
-ability to organize and plan ahead
-ability to solve problems
-ability to speak and write in mother tongue
-ability to work in interdisciplinary team
-ability to work independently
-basic computing skills
-capacity to adapt to new situations
-capacity to learn
-designing and managing projects
-ethical commitment
-general knowledge
-quality concept awareness
-science and research skills
-skilled at utilizing and processing information

Specific competences:
 
-Ability to define, denominate and solve (singly and creative) of theoretic and practical forestry problems.
-Master mathematical tools necessary for solving real world problems.
-Skills of correct use of statistical software
-Student can assess statistical characteristics and knows their interpretation
-Student can find suitable statistical method for solving of given problem
-Student is able to use theoretical knowlege od statistics in practical analysis

Type of course unit:optional
Year of study:Not applicable - the subject could be chosen at anytime during the course of the programme.
Work placement:There is no compulsory work placement in the course unit.
Recommended study modules:none
Assessment methods:credit - based on consultancy of data analysis problem of individual thesis and oral exam concerning discussed topics.
 
Learning activities and study load (hours of study load)
Type of teaching methodDaily attendanceCombined form
Direct teaching
     practice24 h10 h
     consultation30 h30 h
Self-study
     preparation for exam10 h14 h
     elaboration and execution of projects20 h30 h
Total84 h84 h

Basic reading list
  • MELOUN, M. -- MILITKÝ, J. Kompendium statistického zpracování dat: metody a řešené úlohy. 2nd ed. Praha: Academia, 2006. 982 p. ISBN 80-200-1396-2.
  • MELOUN, M. -- MILITKÝ, J. -- HILL, M. Počítačová analýza vícerozměrných dat v příkladech. 1st ed. Praha: Academia, 2005. 449 p. ISBN 80-200-1335-0.
  • MELOUN, M. -- MILITKÝ, J. Statistická analýza experimentálních dat. 2nd ed. Praha: Academia, 2004. 953 p. ISBN 80-200-1254-0.
  • DRÁPELA, K. -- ZACH, J. Statistické metody I: (pro obory lesního dřevařského a krajinného inženýrství). 1st ed. Brno: Mendelova zemědělská a lesnická univerzita, 1999. 135 p. ISBN 80-7157-416-3.
  • DRÁPELA, K. Statistické metody II: (pro obory lesního, dřevařského a krajinného inženýrství). 1st ed. V Brně: Mendelova zemědělská a lesnická univerzita, 2000. 144 p. ISBN 80-7157-474-0.
  • ZAR, J H. Biostatistical analysis. 4th ed. Upper Saddle River, New Jersey: Prentice Hall, 1999. 1 p. ISBN 0-13-081542-X.
  • ŠŤASTNÝ, Z. Matematické a statistické výpočty v Microsoft Excelu. 1st ed. Computer Press: Praha, 1999. 253 p. ISBN 807226-141-X.
  • STATSOFT, I. Elektronická učebnice statistiky k programu Statistica.  [online]. 2007. URL: http://www.statsoft.com/textbook/stathome.html.