|
|
Main menu for Browse IS/STAG
Course info
KPV / PDP
:
Course description
Department/Unit / Abbreviation
|
KPV
/
PDP
|
Academic Year
|
2023/2024
|
Academic Year
|
2023/2024
|
Title
|
Thesis Related Project
|
Form of course completion
|
Pre-Exam Credit
|
Form of course completion
|
Pre-Exam Credit
|
Accredited / Credits
|
Yes,
8
Cred.
|
Type of completion
|
-
|
Type of completion
|
-
|
Time requirements
|
Tutorial
8
[Hours/Week]
|
Course credit prior to examination
|
No
|
Course credit prior to examination
|
No
|
Automatic acceptance of credit before examination
|
Yes in the case of a previous evaluation 4 nebo nic.
|
Included in study average
|
NO
|
Language of instruction
|
Czech
|
Occ/max
|
|
|
|
Automatic acceptance of credit before examination
|
Yes in the case of a previous evaluation 4 nebo nic.
|
Summer semester
|
23 / -
|
0 / -
|
0 / -
|
Included in study average
|
NO
|
Winter semester
|
0 / -
|
0 / -
|
0 / -
|
Repeated registration
|
NO
|
Repeated registration
|
NO
|
Timetable
|
Yes
|
Semester taught
|
Summer semester
|
Semester taught
|
Summer semester
|
Minimum (B + C) students
|
10
|
Optional course |
Yes
|
Optional course
|
Yes
|
Language of instruction
|
Czech
|
Internship duration
|
0
|
No. of hours of on-premise lessons |
|
Evaluation scale |
S|N |
Periodicity |
každý rok
|
Periodicita upřesnění |
|
Fundamental theoretical course |
No
|
Fundamental course |
No
|
Fundamental theoretical course |
No
|
Evaluation scale |
S|N |
Substituted course
|
None
|
Preclusive courses
|
N/A
|
Prerequisite courses
|
N/A
|
Informally recommended courses
|
N/A
|
Courses depending on this Course
|
N/A
|
Histogram of students' grades over the years:
Graphic PNG
,
XLS
|
Course objectives:
|
Goal is to create sufficient time for students to process their final thesis, allow them to address the issue with the help of specialized software, measurement and diagnostic equipment in their department, or according to needs, in practice, at arranged workplaces. It will also give students the opportunity to underpin their respective computing solutions, including technical and economic benefits of the proposed solutions.
|
Requirements on student
|
Requirement for credit is: 1. Active participation on the consultation for elaboration of diploma thesis. 2. Demonstration of knowledge needed to elaboration of diploma thesis. 3. To present the supervisor with diploma thesis in the required standard.
|
Content
|
In the form of individual consultations and seminars, students work independently under the leadership of thesis supervisors and consultants more demanding part of the work, according to the selected focus. For the chosen variant, they elaborate introductory design and construction designs, which they then elaborate in their thesis. The technical-economic questions of the task are taken into account. Computer technology is used to the maximum extent possible.
|
Activities
|
|
Fields of study
|
|
Guarantors and lecturers
|
-
Guarantors:
Prof. Ing. Josef Basl, CSc. (100%),
-
Tutorial lecturer:
Prof. Ing. Josef Basl, CSc. (100%),
Ing. Tomáš Broum, Ph.D. (100%),
Ing. Marek Bureš, Ph.D. (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%),
Mgr. Ing. Alena Lochmannová, Ph.D. et Ph.D., MBA (100%),
Ing. Bc. Miroslav Malaga, Ph.D. (100%),
Ing. Milan Pinte, Ph.D. (100%),
Doc. Ing. Pavel Raška, Ph.D. (100%),
Ing. Andrea Šimerová (100%),
Doc. Ing. Michal Šimon, Ph.D. (100%),
Doc. Ing. Zdeněk Ulrych, Ph.D. (100%),
Ing. Lukáš Veszprémi (100%),
|
Literature
|
|
Time requirements
|
All forms of study
|
Activities
|
Time requirements for activity [h]
|
Presentation preparation (report) (1-10)
|
10
|
Contact hours
|
80
|
Individual project (40)
|
120
|
Total
|
210
|
|
Prerequisites
|
Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
successfully complete the semestral project and pre-graduate practice |
describe and explain acquired theoretical and practical knowledge from the studied field |
describe the current state of knowledge of the solved problems |
characterize working hypotheses, methods and techniques needed to solve a given problem |
comprehensively describe and explain the higher level possible variations of solutions |
to acquire further professional knowledge by independent study of theoretical knowledge of engineering base |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
to use their theoretical and practical knowledge from the studied field independently in solving specific problems assigned in the DT |
to independently propose new solutions to a given problem |
to create own opinion on individual designed solutions and is able to choose optimal variant of solution (is able to analyze the level of technical solution) |
acquire additional professional skills on the basis of practical experience and their evaluation |
|
Learning outcomes
|
Knowledge - knowledge resulting from the course: |
justify the proposed solutions in theory |
independently evaluate the pros and cons of the proposed solutions to the problem |
Skills - skills resulting from the course: |
to diagnose the essence of problems solved in DT |
apply their theoretical and practical knowledge in solving specific problems assigned in the thesis |
gain professional knowledge by independent study of theoretical knowledge in the field |
to independently use computer technology with specialized software to solve specific problems |
process the information obtained at a higher level |
defend their work before the expert committee |
|
Assessment methods
|
Knowledge - knowledge achieved by taking this course are verified by the following means: |
Project |
Individual presentation at a seminar |
Continuous assessment |
Skills - skills achieved by taking this course are verified by the following means: |
Project |
Individual presentation at a seminar |
Continuous assessment |
Skills demonstration during practicum |
|
Teaching methods
|
Knowledge - the following training methods are used to achieve the required knowledge: |
One-to-One tutorial |
Internship |
Task-based study method |
Project-based instruction |
Students' portfolio |
Skills - the following training methods are used to achieve the required skills: |
Internship |
Field trip |
Skills demonstration |
Individual study |
Project-based instruction |
|
|
|
|