Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Biological Data Processing Using SPSS system

Faculty of Science
Autumn 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Autumn 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
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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Autumn 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
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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Biological Data Processing Using SPSS system

Faculty of Science
Autumn 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

Bi7920 Analysis of biological data

Faculty of Science
Spring 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
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
The course is also listed under the following terms Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, spring 2012 - acreditation, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (recent)