MA Seminar II 4010-SEM2a
A detailed description of the subject is provided at the level of a given teaching cycle in the Description section.
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Term 2026Z:
The second-semester master's seminar is dedicated to deepening knowledge and mastering the methods and technologies necessary for preparing a master's thesis and conducting research in a selected thematic area. Students become familiar with specific tools, technologies, and mathematical models relevant to the topic being pursued. The seminar focuses on preparing a master's thesis. Classes are held in the form of individual meetings with the thesis supervisors and joint seminars. During group classes, students present their progress, discuss challenges encountered and results achieved, and participate in discussions on the progress of other projects being carried out in the Computational Engineering program. During the seminar, decisions are made regarding the further scope and direction of the work. |
Course coordinators
Type of course
Mode
Requirements
Learning outcomes
The student is able to:
U1 - The student is able to independently search for and obtain reliable scientific information from specialist literature, databases, and other sources in Polish and English, and integrate collected data. [K_U01]
U2 - The student is able to prepare a scientific paper documenting the progress of the thesis in Polish and English, using appropriate IT tools. [K_U02]
U3 - The student is able to determine the directions of development and self-education necessary to develop and verify the research hypotheses contained in the thesis. [K_U03]
U4 - The student is able to passively use English at an intermediate level (B2+ level) and specialized terminology in a selected field of science. [K_U04]
U5 - The student is able to formulate and test hypotheses within a selected field of science. [K_U06]
U6 - The student is able to present the progress of the thesis in a way that is understandable to a wide audience. [K_U14]
The student is ready to:
K1 - actively collaborate in the academic and research community, share knowledge during seminars, and consciously plan and organize their own research work related to the completion of their master's thesis. [K_U01]
K2 - The student is ready to independently achieve the agreed-upon goals related to verifying the research hypotheses formulated in the thesis. [K_U02]
K3 - The student is ready to work systematically and overcome challenges related to achieving the research objectives of the thesis. [K_U03]
K4 - The student is ready to critically evaluate their knowledge and identify any gaps that are necessary to fulfill the research objectives of the thesis. [K_U04
Assessment criteria
1. The master's seminar concludes with a pass.
1. Completion of the course ends with one common grade for all classes (lecture + laboratory) carried out as part of the course.
2. A sick leave does not exempt students from knowledge of the material. It only entitles them to an individualized form of assessment.
3. Students who have received approval for an individualized course of study are required to contact the course coordinator to determine how to achieve all the learning outcomes assigned to the course. If the above-mentioned outcomes cannot be achieved, the coordinator may refuse to grant credit for the course.
4. Attendance is mandatory. In cases of justified absences, the student is required to contact the course coordinator immediately.
5. Regarding the use of artificial intelligence (AI) tools in the preparation of coursework, the rules set out in the "Regulations on the Use of Artificial Intelligence Tools in the Educational Process for the Computational Engineering Degree Programme" apply.
6. Detailed grading criteria are provided at the level of the given academic cycle in the "Notes" section
Practical placement
Not applicable.
Bibliography
Literature to be determined individually with the master's thesis supervisor.
Notes
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Term 2026Z:
The seminar is credited by the course coordinator based on: |