Seminar to Diploma Thesis
| Language of instruction | angličtina, čeština |
|---|---|
| Code | 545-0222 |
| Abbreviation | SDP |
| Course title | Seminar to Diploma Thesis |
| Coordinating department | Department of Economics and Control Systems |
| Course coordinator | doc. Ing. Roman Kozel, Ph.D. |
Summary
The seminar follows the Diploma Thesis Project course and focuses on practical implementation, interpretation of results and final completion of the diploma thesis. It guides students to independently perform analyses, evaluate findings and formulate complex proposals for practice. The course reflects on the use of AI for advanced data visualization and synthesis of discussion chapters. The course prepares students for a successful and convincing defense of the diploma thesis before the state examination board.
After completing the course, the student will achieve the following learning outcomes:
Professional knowledge
The student discusses the principles of substantive discussion of results and their setting in a broader professional and economic context. Clarifies the logic of the structure of complex design measures and the quantification of their benefits. Identifies key aspects of opponent opinions and the strategy of professional argumentation during the master's defense.
Professional skills
The student processes and analyzes larger data sets and evaluates the established research questions or hypotheses. Applies AI tools for visualization of results, back-checking the logical continuity of the text and formulating a summary. Compiles a comprehensive text of the thesis that meets all formal, linguistic and professional requirements of a master's degree.
General competencies
Critically assesses the limits of one's own research, the reliability of data and formulates arguments for professional polemics. Defends the conclusions reached and practical recommendations before the examination committee. Accepts and applies standards of professional and academic ethics, including transparent disclosure of the use of AI tools.
After completing the course, the student will achieve the following learning outcomes:
Professional knowledge
The student discusses the principles of substantive discussion of results and their setting in a broader professional and economic context. Clarifies the logic of the structure of complex design measures and the quantification of their benefits. Identifies key aspects of opponent opinions and the strategy of professional argumentation during the master's defense.
Professional skills
The student processes and analyzes larger data sets and evaluates the established research questions or hypotheses. Applies AI tools for visualization of results, back-checking the logical continuity of the text and formulating a summary. Compiles a comprehensive text of the thesis that meets all formal, linguistic and professional requirements of a master's degree.
General competencies
Critically assesses the limits of one's own research, the reliability of data and formulates arguments for professional polemics. Defends the conclusions reached and practical recommendations before the examination committee. Accepts and applies standards of professional and academic ethics, including transparent disclosure of the use of AI tools.
Literature
SUNDSTRÖM, Mikael. How not to write a thesis or dissertation: a guide to success through failure. Cheltenham, UK: Edward Elgar Publishing, 2020. ISBN 978-1-78990-050-7.