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Course info
KPV / PBP
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Course description
Department/Unit / Abbreviation
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KPV
/
PBP
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Thesis Related Project
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Form of course completion
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Pre-Exam Credit
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Form of course completion
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Pre-Exam Credit
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Accredited / Credits
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Yes,
4
Cred.
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Type of completion
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-
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Type of completion
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-
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Time requirements
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Tutorial
4
[Hours/Week]
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Course credit prior to examination
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No
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Course credit prior to examination
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No
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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NO
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Language of instruction
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-
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Occ/max
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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8 / -
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0 / -
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17 / -
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Included in study average
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NO
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Summer semester
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Semester taught
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Summer semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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-
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
S|N |
Periodicity |
každý rok
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Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
No
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Fundamental theoretical course |
No
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Evaluation scale |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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Create enough space for students to obtain information and supporting materials to address the Bachelor's thesis, the possibility to analyze these materials, process and apply them to solving problems. Create space for self-study, consultation and treatment of problems solved using specialized software.
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Requirements on student
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Requirements for credit are:
1. Active participation on the consultations for elaboration the thesis.
2. Demonstration of knowledge needed to elaboration of the thesis.
3. Present to supervisor the thesis in the required standard.
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Content
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Processing project of a selected assigned topic under the leadership of the project supervisor.
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Activities
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Fields of study
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Guarantors and lecturers
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Guarantors:
Doc. Ing. Milan Edl, Ph.D. (100%),
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Tutorial lecturer:
Ing. Tea Bajičová (100%),
Prof. Ing. Josef Basl, CSc. (100%),
Ing. Miroslav Bednář (100%),
Ing. Tomáš Broum, Ph.D. (100%),
Ing. Marek Bureš, Ph.D. (100%),
Ing. Matěj Dvořák (100%),
Doc. Ing. Milan Edl, Ph.D. (100%),
Doc. Ing. Petr Hořejší, Ph.D. (100%),
Ing. Ilona Kačerová, Ph.D. (100%),
Doc. Ing. Pavel Kopeček, CSc. (100%),
Ing. David Krákora (100%),
Ing. Matěj Krňoul (100%),
Ing. Jan Kubr (100%),
Mgr. Ing. Alena Lochmannová, Ph.D. et Ph.D., MBA (100%),
Ing. Tomáš Macháč (100%),
Ing. Bc. Miroslav Malaga, Ph.D. (100%),
Ing. Jakub Müller (100%),
Ing. Milan Pinte, Ph.D. (100%),
Doc. Ing. Pavel Raška, Ph.D. (100%),
Ing. Filip Rybnikár (100%),
Ing. Andrea Šimerová (100%),
Doc. Ing. Michal Šimon, Ph.D. (100%),
Doc. Ing. Zdeněk Ulrych, Ph.D. (100%),
Ing. Lukáš Veszprémi (100%),
Ing. Pavel Vránek (100%),
Ing. David Ženíšek (100%),
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Contact hours
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40
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Individual project (40)
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60
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Presentation preparation (report) (1-10)
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10
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Total
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110
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
obtain further professional knowledge by independent study of theoretical knowledge of mechanical engineering basis |
explain possible variants of individual solutions |
define experimental material for the solved problematics |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
apply own theoretical and practical knowledge from the studied specialization independently to solve specific problems |
propose variants of solution related to problematics in BT |
choose the optimal variant of the solution |
use computer technology or other experimental equipment |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
explain alternative problem solutions in BT |
describe selected theoretical methods for solving a given problem |
Skills - skills resulting from the course: |
apply own theoretical and practical knowledge in solving of specific problems assigned in BT |
use the basic equipment independently to solve specific problems |
process the information obtained |
formulate clearly the technical idea |
defend own work before the expert committee |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Individual presentation at a seminar |
Seminar work |
Skills - skills achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Project-based instruction |
Individual study |
Skills - the following training methods are used to achieve the required skills: |
Individual study |
Students' portfolio |
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