Course Information

PV187 Seminar of Digital Image Processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).
Taught in person.

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Tue 15. 2. to Tue 17. 5. Tue 12:00–13:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 70 fields of study the course is directly associated with, display

Course objectives

The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Learning outcomes

The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells, tissues and organs, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

Study Materials
The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).
Taught in person.

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. RNDr. Michal Kozubek, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Tue 14. 9. to Tue 7. 12. Tue 12:00–13:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 69 fields of study the course is directly associated with, display

Course objectives

The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Learning outcomes

The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells, tissues and organs, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of Digital Image Processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).
Taught online.

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Tue 12:00–13:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 70 fields of study the course is directly associated with, display

Course objectives

The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Learning outcomes

The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).
Taught online.

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

prof. RNDr. Michal Kozubek, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Tue 12:00–13:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 69 fields of study the course is directly associated with, display

Course objectives

The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Learning outcomes

The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of Digital Image Processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Mon 17. 2. to Fri 15. 5. Tue 12:00–13:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 70 fields of study the course is directly associated with, display

Course objectives

The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Learning outcomes

The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

Study Materials
The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

prof. RNDr. Michal Kozubek, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Tue 12:00–13:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 69 fields of study the course is directly associated with, display

Course objectives

The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Learning outcomes

The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Tue 19. 2. to Tue 14. 5. Tue 12:00–13:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 33 fields of study the course is directly associated with, display

Course objectives

The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Learning outcomes

The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Tue 12:00–13:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 37 fields of study the course is directly associated with, display

Course objectives

The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Learning outcomes

The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Tue 12:00–13:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 33 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Learning outcomes

Student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Tue 12:00–13:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 37 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Learning outcomes

Student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (assistant)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Tue 12:00–13:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 33 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
doc. RNDr. Martin Maška, Ph.D. (assistant)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Wed 14:00–15:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 37 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (assistant)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable of Seminar Groups

PV187/OS01: Wed 14:00–15:50 A321, M. Kozubek

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 33 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
doc. RNDr. Martin Maška, Ph.D. (assistant)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Wed 13:00–15:50 A321

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 37 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.

Syllabus

• This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (assistant)
doc. RNDr. Martin Maška, Ph.D. (assistant)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable of Seminar Groups

PV187/OS01: Wed 13:00–15:50 A319, P. Matula

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 32 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions. Active participation in research seminar.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar in English (notebook and data projector available).

Language of instruction

English

Further comments (probably available only in Czech)

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (assistant)
doc. RNDr. Martin Maška, Ph.D. (assistant)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Wed 13:00–15:50 C525

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).

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 36 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions. Active participation in research seminar.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar in English (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable of Seminar Groups

PV187/OS01: Wed 13:00–15:50 C416, M. Maška, P. Matula, D. Svoboda

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 32 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

English

Further comments (probably available only in Czech)

Study Materials
The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Wed 13:00–15:50 C416

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 36 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)

Guaranteed by

doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Wed 8:00–9:50 C416

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 32 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Seminar of digital image processing

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Wed 12:00–13:50 C416

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 36 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics

Timetable

Thu 14:00–15:50 B204

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 32 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

English

Further Comments

Study Materials
The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics

Timetable

Wed 12:00–13:50 C416

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 41 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

Czech

Further Comments

Study Materials
The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics

Timetable

Wed 14:00–15:50 G124

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 30 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

English

Further Comments

Study Materials
The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics

Timetable

Thu 10:00–11:50 C511

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 34 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

Czech

Further Comments

Study Materials
The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics

Timetable

Wed 12:00–13:50 C416

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 30 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics

Timetable

Thu 14:00–15:50 C525

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 34 fields of study the course is directly associated with, display

Course objectives

The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Teaching methods

The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

Czech

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics

Timetable

Wed 14:00–15:50 A107

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 27 fields of study the course is directly associated with, display

Course objectives

Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics

Timetable

Wed 14:00–15:50 C416

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 27 fields of study the course is directly associated with, display

Course objectives

Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.

Literature

• Scientific books and articles according to the recommendation of project supervisor.

Assessment methods

Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).

Language of instruction

Czech

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics

Timetable

Wed 12:00–13:50 B410

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 27 fields of study the course is directly associated with, display

Course objectives

Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.

Literature

• Knihy a články dle doporučení vedoucího práce.

Assessment methods (in Czech)

Komunikace s vedoucím v češtině nebo angličtině, studijní materiály v angličtině. Samostatná práce u počítačů, přednesení přednášky na semináři (k dispozici notebook a datový projektor).

Language of instruction

English

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/0/2. 2 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics

Timetable

Wed 14:00–15:50 C416

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 37 fields of study the course is directly associated with, display

Course objectives

Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.

Literature

• Knihy a články dle doporučení vedoucího práce.

Assessment methods (in Czech)

Komunikace s vedoucím v češtině nebo angličtině, studijní materiály v angličtině. Samostatná práce u počítačů, přednesení přednášky na semináři (k dispozici notebook a datový projektor).

Language of instruction

Czech

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics

Timetable

Wed 10:00–11:50 C416

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 17 fields of study the course is directly associated with, display

Course objectives

Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.

Literature

• Knihy a články dle doporučení vedoucího práce.

Assessment methods (in Czech)

Komunikace s vedoucím v češtině nebo angličtině, studijní materiály v angličtině. Samostatná práce u počítačů, přednesení přednášky na semináři (k dispozici notebook a datový projektor).

Language of instruction

Czech

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

PV187 Laboratory of Optical Microscopy

Extent and Intensity

0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)

Guaranteed by

prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.

Timetable

Thu 12:00–13:50 C416

Prerequisites

SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.

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 17 fields of study the course is directly associated with, display

Course objectives

Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.

Syllabus

• This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.

Literature

• Knihy a články dle doporučení vedoucího práce.

Assessment methods (in Czech)

Komunikace s vedoucím v češtině nebo angličtině, studijní materiály v angličtině. Samostatná práce u počítačů, přednesení přednášky na semináři (k dispozici notebook a datový projektor).

Language of instruction

Czech

Further Comments

The course is taught each semester.

Teacher's information

http://cbia.fi.muni.cz/

• Enrolment Statistics (Spring 2022, recent)