Bi7920 Analysis of biological data
Faculty of ScienceSpring 2024
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
Taught in person. - Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Mon 19. 2. to Sun 26. 5. Mon 11:00–12:50 D31/238
- Prerequisites
- Bi5040 Biostatistics - basic course || Bi5560 Basics of statistics for biol.
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 10/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 18 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R.
- Learning outcomes
- At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- required literature
- PEKÁR, Stano and Marek BRABEC. Moderní analýza biologických dat. 1. vyd. Praha: Scientia, 2009, x, 225. ISBN 9788086960449. info
- recommended literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2025
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
Taught in person. - Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Prerequisites
- Bi5040 Biostatistics - basic course || Bi5560 Basic statistics for biol. II
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 18 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R.
- Learning outcomes
- At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- required literature
- PEKÁR, Stano and Marek BRABEC. Moderní analýza biologických dat. 1. vyd. Praha: Scientia, 2009, x, 225. ISBN 9788086960449. info
- recommended literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- The course is taught annually.
The course is taught: every week. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2023
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
Taught in person. - Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Mon 11:00–12:50 D32/329
- Prerequisites
- Bi5040 Biostatistics - basic course || Bi5560 Basics of statistics for biol.
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 17/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 18 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R.
- Learning outcomes
- At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- required literature
- PEKÁR, Stano and Marek BRABEC. Moderní analýza biologických dat. 1. vyd. Praha: Scientia, 2009, x, 225. ISBN 9788086960449. info
- recommended literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2022
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
Taught in person. - Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Mon 11:00–12:50 D32/329
- Prerequisites
- Bi5040 Biostatistics - basic course || Bi5560 Basics of statistics for biol.
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 2/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 18 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R.
- Learning outcomes
- At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- required literature
- PEKÁR, Stano and Marek BRABEC. Moderní analýza biologických dat. 1. vyd. Praha: Scientia, 2009, x, 225. ISBN 9788086960449. info
- recommended literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2021
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Mon 1. 3. to Fri 14. 5. Mon 11:00–12:50 online_B5
- Prerequisites
- Bi5040 Biostatistics - basic course || Bi5560 Basics of statistics for biol.
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 2/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 18 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R.
- Learning outcomes
- At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- required literature
- PEKÁR, Stano and Marek BRABEC. Moderní analýza biologických dat. 1. vyd. Praha: Scientia, 2009, x, 225. ISBN 9788086960449. info
- recommended literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2020
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Mon 11:00–12:50 D32/329
- Prerequisites
- Bi5040 Biostatistics - basic course || Bi5560 Basics of statistics for biol.
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 18 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R.
- Learning outcomes
- At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- required literature
- PEKÁR, Stano and Marek BRABEC. Moderní analýza biologických dat. 1. vyd. Praha: Scientia, 2009, x, 225. ISBN 9788086960449. info
- recommended literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2019
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Mon 18. 2. to Fri 17. 5. Wed 12:00–13:50 D32/329
- Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 14 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- required literature
- PEKÁR, Stano and Marek BRABEC. Moderní analýza biologických dat. 1. vyd. Praha: Scientia, 2009, x, 225. ISBN 9788086960449. info
- recommended literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of Sciencespring 2018
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Mon 14:00–15:50 B11/333
- Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 14 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- required literature
- PEKÁR, Stano and Marek BRABEC. Moderní analýza biologických dat. 1. vyd. Praha: Scientia, 2009, x, 225. ISBN 9788086960449. info
- recommended literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2017
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Mon 20. 2. to Mon 22. 5. Mon 15:00–16:50 D32/329
- Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 1/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 14 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- required literature
- PEKÁR, Stano and Marek BRABEC. Moderní analýza biologických dat. 1. vyd. Praha: Scientia, 2009, x, 225. ISBN 9788086960449. info
- recommended literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2016
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Mon 11:00–12:50 D32/329
- Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 14 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- required literature
- PEKÁR, Stano and Marek BRABEC. Moderní analýza biologických dat. 1. vyd. Praha: Scientia, 2009, x, 225. ISBN 9788086960449. info
- recommended literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- The course is taught annually.
- Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2015
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Wed 13:00–14:50 D32/329
- Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 14 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- required literature
- PEKÁR, Stano and Marek BRABEC. Moderní analýza biologických dat. 1. vyd. Praha: Scientia, 2009, x, 225. ISBN 9788086960449. info
- recommended literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- The course is taught annually.
- Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2014
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 14 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply appropriate model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually.
The course is taught: every other week. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2013
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Thu 10:00–11:50 BR4
- Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 14 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply approprite model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2012
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Timetable
- Mon 12:00–13:50 BR2
- Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- there are 14 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply approprite model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught once in two years. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2011
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D. - Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- there are 15 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply approprite model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
The course is taught: every week.
Information on course enrolment limitations: výuku zajišťují jednotlivé katedry biologické sekce, před zápisem je nutno kontaktovat jednotlivé vyučující z biologických kateder - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2010
- Extent and Intensity
- 0/2/1. 2 credit(s) (plus 1 credit for an exam). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D. - Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- there are 12 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply approprite model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- Study Materials
The course is taught last offered.
The course is taught: every week.
Information on course enrolment limitations: výuku zajišťují jednotlivé katedry biologické sekce, před zápisem je nutno kontaktovat jednotlivé vyučující z biologických kateder - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2009
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D. - Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- there are 12 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply approprite model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- The course is taught annually.
The course is taught: every week.
Information on course enrolment limitations: výuku zajišťují jednotlivé katedry biologické sekce, před zápisem je nutno kontaktovat jednotlivé vyučující z biologických kateder - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2008
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Ing. Marek Brabec, Ph.D. (lecturer), prof. Mgr. Stanislav Pekár, Ph.D. (deputy)
prof. Mgr. Stanislav Pekár, Ph.D. (lecturer) - Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D. - Prerequisites (in Czech)
- Bi5040 Biostatistics - basic course
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- Systematic Biology and Ecology (programme PřF, M-BI)
- Systematic Biology and Ecology (programme PřF, M-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, M-BI, specialization Systematic Zoology and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Zoology and Ecology)
- Course objectives
- This lecture aims to teach how to analyse biological data using modern univariate statistical methods, mainly Generalised LInear Models and Linear mIxed-Effect Models.
- Syllabus
- 1) Introduction: Statistical software. R environment. 2) Exploratory data analysis: Data frames. Types of data. Tables and graphs. Moments. 3) Esperimental design: Randomised. Nested. Split-plot. Latin squares. Pseudoreplication. 4) Statistical modeling. Distributions. 5) Analysis of data using normal distribution. 6) Analysis of data using gamma distribution. 7) Analysis of data using Poisson distribution. 8) Analysis of data using negative-binomial distribution. 9) Analysis of data using binomial distribution. 10) Analysis of data using binary distribution. 11) Survival analysis. 13) Mixed models: Transformations. Split-plot and nested design. Repeated measures.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
The course is taught annually.
Information on course enrolment limitations: výuku zajišťují jednotlivé katedry biologické sekce, před zápisem je nutno kontaktovat jednotlivé vyučující z biologických kateder - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2007
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Jaromír Vaňhara, CSc.
Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D. - Prerequisites (in Czech)
- Bi5040 Biostatistics - basic course
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- Systematic Biology and Ecology (programme PřF, M-BI)
- Systematic Biology and Ecology (programme PřF, M-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, M-BI, specialization Systematic Zoology and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Zoology and Ecology)
- Course objectives
- This lecture aims to teach how to analyse biological data using modern univariate statistical methods, mainly Generalised LInear Models and Linear mIxed-Effect Models.
- Syllabus
- 1) Introduction: Statistical software. R environment. 2) Exploratory data analysis: Data frames. Types of data. Tables and graphs. Moments. 3) Esperimental design: Randomised. Nested. Split-plot. Latin squares. Pseudoreplication. 4) Statistical modeling. Distributions. 5) Analysis of data using normal distribution. 6) Analysis of data using gamma distribution. 7) Analysis of data using Poisson distribution. 8) Analysis of data using negative-binomial distribution. 9) Analysis of data using binomial distribution. 10) Analysis of data using binary distribution. 11) Survival analysis. 13) Mixed models: Transformations. Split-plot and nested design. Repeated measures.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
The course is taught annually.
Information on course enrolment limitations: výuku zajišťují jednotlivé katedry biologické sekce, před zápisem je nutno kontaktovat jednotlivé vyučující z biologických kateder - Listed among pre-requisites of other courses
Bi7920 Biological Data Processing Using SPSS system
Faculty of ScienceAutumn 2002
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: z (credit).
- Teacher(s)
- RNDr. Ondřej Komárek, Ph.D. (seminar tutor)
- Guaranteed by
- RNDr. Ondřej Komárek, Ph.D.
Faculty of Science
Contact Person: RNDr. Ondřej Komárek, Ph.D. - Prerequisites (in Czech)
- SOUHLAS || B5040 Biostatistics || Bi5040 Biostatistics - basic course
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- there are 8 fields of study the course is directly associated with, display
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
The course is taught annually.
Information on course enrolment limitations: výuku zajišťují jednotlivé katedry biologické sekce, před zápisem je nutno kontaktovat jednotlivé vyučující z biologických kateder - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceAutumn 2005
The course is not taught in Autumn 2005
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (seminar tutor)
- Guaranteed by
- prof. RNDr. Jaromír Vaňhara, CSc.
Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D. - Prerequisites (in Czech)
- Bi5040 Biostatistics - basic course
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- Systematic Biology and Ecology (programme PřF, M-BI)
- Systematic Biology and Ecology (programme PřF, M-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, M-BI, specialization Systematic Zoology and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Zoology and Ecology)
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
The course is taught annually.
Information on course enrolment limitations: výuku zajišťují jednotlivé katedry biologické sekce, před zápisem je nutno kontaktovat jednotlivé vyučující z biologických kateder - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceAutumn 2004
The course is not taught in Autumn 2004
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (seminar tutor)
- Guaranteed by
- prof. RNDr. Jaromír Vaňhara, CSc.
Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D. - Prerequisites (in Czech)
- Bi5040 Biostatistics - basic course
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- Systematic Biology and Ecology (programme PřF, M-BI)
- Systematic Biology and Ecology (programme PřF, M-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, M-BI, specialization Systematic Zoology and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Zoology and Ecology)
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
The course is taught annually.
Information on course enrolment limitations: výuku zajišťují jednotlivé katedry biologické sekce, před zápisem je nutno kontaktovat jednotlivé vyučující z biologických kateder - Listed among pre-requisites of other courses
Bi7920 Biological Data Processing Using SPSS system
Faculty of ScienceAutumn 2003
The course is not taught in Autumn 2003
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: z (credit).
- Teacher(s)
- RNDr. Ondřej Komárek, Ph.D. (seminar tutor)
- Guaranteed by
- RNDr. Ondřej Komárek, Ph.D.
Faculty of Science
Contact Person: RNDr. Ondřej Komárek, Ph.D. - Prerequisites (in Czech)
- SOUHLAS || B5040 Biostatistics || Bi5040 Biostatistics - basic course
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- there are 8 fields of study the course is directly associated with, display
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
The course is taught annually.
Information on course enrolment limitations: výuku zajišťují jednotlivé katedry biologické sekce, před zápisem je nutno kontaktovat jednotlivé vyučující z biologických kateder - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of Sciencespring 2012 - acreditation
The information about the term spring 2012 - acreditation is not made public
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 12 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply approprite model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- The course is taught annually.
The course is taught: every other week. - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2011 - only for the accreditation
- Extent and Intensity
- 0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
- Teacher(s)
- prof. Mgr. Stanislav Pekár, Ph.D. (lecturer)
- Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D. - Prerequisites
- Bi5040 Biostatistics - basic course
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs) - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- there are 12 fields of study the course is directly associated with, display
- Course objectives
- This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply approprite model of univariate statistics to the data.
- Syllabus
- 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
- Literature
- CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
- Teaching methods
- Lectures and homeworks.
- Assessment methods
- The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
- Language of instruction
- Czech
- Follow-Up Courses
- Further comments (probably available only in Czech)
- The course is taught once in two years.
The course is taught: every week.
Information on course enrolment limitations: výuku zajišťují jednotlivé katedry biologické sekce, před zápisem je nutno kontaktovat jednotlivé vyučující z biologických kateder - Listed among pre-requisites of other courses
Bi7920 Analysis of biological data
Faculty of ScienceSpring 2008 - for the purpose of the accreditation
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Ing. Marek Brabec, Ph.D. (lecturer), prof. Mgr. Stanislav Pekár, Ph.D. (deputy)
prof. Mgr. Stanislav Pekár, Ph.D. (lecturer) - Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D. - Prerequisites (in Czech)
- Bi5040 Biostatistics - basic course
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- Systematic Biology and Ecology (programme PřF, M-BI)
- Systematic Biology and Ecology (programme PřF, M-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, M-BI, specialization Systematic Zoology and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Zoology and Ecology)
- Course objectives
- This lecture aims to teach how to analyse biological data using modern univariate statistical methods, mainly Generalised LInear Models and Linear mIxed-Effect Models.
- Syllabus
- 1) Introduction: Statistical software. R environment. 2) Exploratory data analysis: Data frames. Types of data. Tables and graphs. Moments. 3) Esperimental design: Randomised. Nested. Split-plot. Latin squares. Pseudoreplication. 4) Statistical modeling. Distributions. 5) Analysis of data using normal distribution. 6) Analysis of data using gamma distribution. 7) Analysis of data using Poisson distribution. 8) Analysis of data using negative-binomial distribution. 9) Analysis of data using binomial distribution. 10) Analysis of data using binary distribution. 11) Survival analysis. 13) Mixed models: Transformations. Split-plot and nested design. Repeated measures.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
The course is taught annually.
Information on course enrolment limitations: výuku zajišťují jednotlivé katedry biologické sekce, před zápisem je nutno kontaktovat jednotlivé vyučující z biologických kateder - Listed among pre-requisites of other courses
- Enrolment Statistics (recent)