Details - Tematika

Financial Management and Digitalization Methods (DAGSPHN-PENZMEND-1)

Basic data

Name and type of the study programme

Gazdálkodás- és Szervezéstudományok Doktori Iskola képzése, doctoral training

Curriculum

2024

Classes / consultation hours

20 + 0 + 0 (L+S+Labs)

Credits

4 credits

Theory – Practice

Theory: 100%, Practice: 0%

Recommended semester

Semester 3

Study mode

full-time

Prerequisites

Evaluation type

Colloquium

Course category

Compulsory elective in the specialization

Language

English

Instructors

Responsible instructor

Zéman Zoltán Dr.

Responsible department

NJE Gazdálkodás- és Szervezéstudományok Doktori Iskola

Instructor(s)

Checked by

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Course objectives

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Course content

Lectures

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Acquired competences

Knowledge

a) knowledge: Knows standard financial models, with special regard to standard models of economics, and their applicability. b) abilities: Independently formulates new conclusions, original ideas and solutions, is able to apply sophisticated analysis and modeling methods, develop strategies for solving complex problems, and make decisions in a changing domestic and international environment, as well as in the respective organizational culture. c) attitude: Strives to solve problems in cooperation with others, if possible. d) autonomy and responsibility: Is interested in changes in the social, economic and legal environment of the financial world, and is characterized by responsible thinking through and taking into account the consequences of professional decisions.

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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Exam 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.