PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2025
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: zk (examination).
In-person direct teaching - Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Bc. Silvie Hulewicz, DiS.
Supplier department: Department of Czech Language – Faculty of Arts - Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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 50 student(s).
Current registration and enrolment status: enrolled: 0/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50 - fields of study / plans the course is directly associated with
- Czech Language and Literature (programme FF, B-MA)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Computational Linguistics (programme FF, B-PLIN_) (3)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2024
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Bc. Silvie Hulewicz, DiS.
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Thu 12:00–13:40 C11, except Thu 18. 4.
- Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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 50 student(s).
Current registration and enrolment status: enrolled: 14/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50 - fields of study / plans the course is directly associated with
- Czech Language and Literature (programme FF, B-MA)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Computational Linguistics (programme FF, B-PLIN_) (3)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2023
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Thu 10:00–11:40 C11
- Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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 50 student(s).
Current registration and enrolment status: enrolled: 12/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50 - fields of study / plans the course is directly associated with
- Czech Language and Literature (programme FF, B-MA)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Computational Linguistics (programme FF, B-PLIN_) (3)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2022
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Thu 10:00–11:40 C11
- Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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 50 student(s).
Current registration and enrolment status: enrolled: 4/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50 - fields of study / plans the course is directly associated with
- Czech Language and Literature (programme FF, B-MA)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Computational Linguistics (programme FF, B-PLIN_) (3)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2021
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Thu 14:00–15:40 C11
- Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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 50 student(s).
Current registration and enrolment status: enrolled: 0/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50 - fields of study / plans the course is directly associated with
- Czech Language and Literature (programme FF, B-MA)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Computational Linguistics (programme FF, B-PLIN_) (3)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2020
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Thu 14:00–15:40 C11
- Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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 50 student(s).
Current registration and enrolment status: enrolled: 0/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50 - fields of study / plans the course is directly associated with
- Czech Language and Literature (programme FF, B-MA)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Computational Linguistics (programme FF, B-PLIN_) (3)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2019
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Thu 8:00–9:40 C11
- Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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 50 student(s).
Current registration and enrolment status: enrolled: 0/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50 - fields of study / plans the course is directly associated with
- Czech Language and Literature (programme FF, B-MA)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2018
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Wed 14:10–15:45 K33
- Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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 50 student(s).
Current registration and enrolment status: enrolled: 0/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50 - fields of study / plans the course is directly associated with
- Czech Language and Literature (programme FF, B-MA)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2017
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Thu 15:50–17:25 B2.24
- Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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 50 student(s).
Current registration and enrolment status: enrolled: 0/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50 - fields of study / plans the course is directly associated with
- Czech Language and Literature (programme FF, B-MA)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2016
- Extent and Intensity
- 2/0/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Tue 15:50–17:25 zruseno D21
- 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 50 student(s).
Current registration and enrolment status: enrolled: 0/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50 - fields of study / plans the course is directly associated with
- Czech Language and Literature (programme FF, B-MA)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Literature
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2015
- Extent and Intensity
- 0/2/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Tue 15:50–17:25 G24
- 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 50 student(s).
Current registration and enrolment status: enrolled: 0/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50 - fields of study / plans the course is directly associated with
- Czech Language and Literature (programme FF, B-MA)
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Literature
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- Study Materials
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2014
- Extent and Intensity
- 0/2/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
RNDr. Vojtěch Kovář, Ph.D. (seminar tutor) - Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Wed 14:10–15:45 zruseno D21
- 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 40 student(s).
Current registration and enrolment status: enrolled: 0/40, only registered: 0/40, only registered with preference (fields directly associated with the programme): 0/40 - fields of study / plans the course is directly associated with
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Literature
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- Study Materials
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2013
- Extent and Intensity
- 0/2/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
RNDr. Vojtěch Kovář, Ph.D. (assistant) - Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Wed 14:10–15:45 zruseno D21
- 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 40 student(s).
Current registration and enrolment status: enrolled: 0/40, only registered: 0/40, only registered with preference (fields directly associated with the programme): 0/40 - fields of study / plans the course is directly associated with
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Literature
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- Study Materials
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2012
- Extent and Intensity
- 0/2. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
doc. Mgr. Pavel Rychlý, Ph.D. (lecturer) - Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Tue 14:10–15:45 G24
- 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 40 student(s).
Current registration and enrolment status: enrolled: 0/40, only registered: 0/40, only registered with preference (fields directly associated with the programme): 0/40 - fields of study / plans the course is directly associated with
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Literature
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- Study Materials
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsSpring 2011
- Extent and Intensity
- 1/1. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Miloš Jakubíček, Ph.D. (lecturer)
RNDr. Vojtěch Kovář, Ph.D. (lecturer)
doc. Mgr. Pavel Rychlý, Ph.D. (lecturer) - Guaranteed by
- prof. PhDr. Jana Pleskalová, CSc.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová - Timetable
- Wed 12:30–14:05 L32
- 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Literature
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- Study Materials
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2024
The course is not taught in Autumn 2024
- Extent and Intensity
- 1/1/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Bc. Silvie Hulewicz, DiS.
Supplier department: Department of Czech Language – Faculty of Arts - Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2023
The course is not taught in Autumn 2023
- Extent and Intensity
- 1/1/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2022
The course is not taught in Autumn 2022
- Extent and Intensity
- 1/1/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2021
The course is not taught in Autumn 2021
- Extent and Intensity
- 1/1/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2020
The course is not taught in Autumn 2020
- Extent and Intensity
- 1/1/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2019
The course is not taught in Autumn 2019
- Extent and Intensity
- 1/1/0. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Vojtěch Kovář, Ph.D. (lecturer)
- Guaranteed by
- RNDr. Vojtěch Kovář, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2018
The course is not taught in Autumn 2018
- Extent and Intensity
- 1/1. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2017
The course is not taught in Autumn 2017
- Extent and Intensity
- 1/1. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Prerequisites
- The subject will be using notions and procedures introduced in PLIN004 Elementary mathematisc and statistics for Humanities, Pt. I. However, its completion is not mandatory if the student is able to study them themselves.
- 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability and statistics, random entities, graphs and graph algorithms.
- Learning outcomes
- After completing the course, the student will be able to:
- work with graphs, explain selected graph algorithms - use basic statistical methods, including hypotheses testing - explain the relationship between statistics and probability - explain the principle of selected statistical methods in the field of computational linguistics - Syllabus
- Main areas: 1) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 2) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 3) Combinatorics and selections of elements: independent selections, combinatorial numbers, permutations and factorial. Combinatorial probability: throwing the dice and shuffling cards, finite space of probability. 4) Descriptive statistics: statistic file, average, medians, diffusion, correlation. 5) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 6) Random entities, random vectors and their distributional functions. 7) Selected applications of statistics in computational linguistics
- Literature
- recommended literature
- ANDĚL, Jiří. Statistické metody. 2. přeprac. vyd. Praha: Matfyzpress, 1998, 274 s. ISBN 80-85863-27-8. info
- http://www.fi.muni.cz/~hlineny/Vyuka/GT/Grafy-text07.pdf
- Teaching methods
- One-hour lecture and subsequent one-hour tutorial.
- Assessment methods
- Mid-term test (25 %) and final written exam (75 %).
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2016
The course is not taught in Autumn 2016
- Extent and Intensity
- 1/1. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2015
The course is not taught in Autumn 2015
- Extent and Intensity
- 1/1. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2014
The course is not taught in Autumn 2014
- Extent and Intensity
- 1/1. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2013
The course is not taught in Autumn 2013
- Extent and Intensity
- 1/1. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2012
The course is not taught in Autumn 2012
- Extent and Intensity
- 1/1. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2011
The course is not taught in Autumn 2011
- Extent and Intensity
- 1/1. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová - 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
PLIN006 Elementary mathematisc and statistics for Humanities, Pt. II
Faculty of ArtsAutumn 2010
The course is not taught in Autumn 2010
- Extent and Intensity
- 1/1. 4 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
- Guaranteed by
- prof. PhDr. Jana Pleskalová, CSc.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová - 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
- Czech Language with Orientation on Computational Linguistics (programme FF, B-FI)
- Course objectives
- Students will get acquainted with more substantial information from the field of mathematics and statistics that can be used during their studies. This seminar follows the course called “Essentials of mathematics and statistics for humanities, Pt. I” and is focused especially on probability, random entities, graphs and graph algorithms and essentials of sententional calculus.
- Syllabus
- Main areas: 1) Space for probability, qualities of probability, conditioned probability, Bayes’ formula, stochastic independence of phenomena. 2) Random entities, random vectors and their distributional functions. 3) Graphs: graph, sub-graphs, isomorphism, degrees of peaks, continual components of graphs, net. 4) Graph algorithms: distances in graphs, searching for the shortest route, acylic graphs trees and their properties. 5) Sententional calculus: definitions of sententional formulas, truthfulness and the possibility to get accomplished, normal forms.
- Teaching methods
- Seminar.
- Assessment methods
- Exam.
- Language of instruction
- Czech
- Further Comments
- The course is taught: every week.
- Enrolment Statistics (Spring 2025, recent)