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Research work and Publication I (DAGSPHN-KUTAPUB1-1)
Basic data
Name and type of the study programme
Gazdálkodás- és Szervezéstudományok Doktori Iskola képzése, doctoral training
Curriculum
2024
Classes / consultation hours
0 + 0 + 0 (L+S+Labs)
Credits
20 credits
Theory – Practice
Theory: %, Practice: %
Recommended semester
Semester 1
Study mode
full-time
Prerequisites
Evaluation type
Obtaining a signature
Course category
Compulsory
Language
English
Instructors
Responsible instructor
Dr. Oláh Judit
Responsible department
NJE Gazdálkodás- és Szervezéstudományok Doktori Iskola
Instructor(s)
Checked by
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Course objectives
Course content
Acquired competences
Knowledge
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Skills
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Attitude
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Autonomy and responsibilities
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Requirements, evaluation and grading
Mid-term study requirements
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Generative AI usage
1st position: Use of GAI tools is not permitted for solving assignments. This means GAI tools cannot be used to complete formative or summative assessments, and using GAI constitutes academic misconduct. The use of AI tools for spelling and grammar checking does not fall under this prohibition.
Study aids, laboratory background
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Readings
Compulsory readings
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Recommended readings
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