MA Seminar I 4010-SEM1a

A detailed description of the subject is provided at the level of a given teaching cycle in the Description section.

Term 2026Z:

The first-semester master's seminar is devoted to selecting a master's thesis topic, formulating research objectives, and conducting preliminary research. Students select a topic from among the proposals presented or based on their individual interests. Selecting a topic outside of the proposals presented during the seminar requires the course coordinator's approval. At the end of the semester, students prepare and present a literature review related to their planned master's thesis and become familiar with other projects they are working on as part of their Computational Engineering studies.

Course coordinators

Katarzyna Kulczycka-Mierzejewska
Zuzanna Szymańska

Type of course

General:

Master's seminars
obligatory courses

Term 2025L:

obligatory courses

Term 2025Z:

obligatory courses

Mode

Classroom

Learning outcomes

Field-specific learning outcomes referenced against the characteristics of the Polish Qualifications Framework (PQF) Level 7:

the student knows and understands:
K_W11 - selected legal and social aspects related to the IT profession, such as concepts of professional and ethical responsibility, principles of netiquette, and selected threats arising from cybercrime.

the student is able to:
K_U01 - acquire reliable information from various sources, such as literature and databases, in both Polish and English, and integrate the collected data, interpret and critically evaluate it, draw conclusions, as well as formulate and convincingly justify their own opinions,
K_U02 - prepare a scholarly paper on a given topic related to the field of study in Polish and English, using appropriate IT tools,
K_U03 - determine directions for further professional development and pursue a process of self-study,
K_U04 - use English at an upper-intermediate level (B2+) and employ specialized terminology from a selected scientific field,
K_U06 - formulate and test hypotheses within a selected scientific field,
K_U14 - present research results from a selected scientific field in a manner understandable to a broad audience,

the student is prepared to:
K_K01 - establish and maintain cooperation and strive to achieve team goals through appropriate work planning and organization,
K_K04 - critically evaluate their own knowledge and the information they receive.

Assessment criteria

1. The master's seminar concludes with a pass.
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 individually agreed with the master's thesis supervisor.

Notes

Term 2026Z:

Credit for the seminar is awarded based on:
1. submission of a form specifying the master's thesis topic, as approved by the thesis supervisor. Learning outcomes are verified by the thesis supervisor during individual consultations,
2. presentation of the proposed master's thesis topic. The presentation takes place in the presence of other students, facilitating discussion and peer learning among seminar participants. During the presentation, participants may ask questions and share their knowledge and observations. All learning outcomes are continuously verified by the thesis supervisor and, during the presentation, by the seminar coordinators.