Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Informatics in Logistics (PhD)
2. Subject name in Hungarian Logisztikai informatika (PhD)
3. Code BMEKOKUD014 4. Evaluation type exam grade 5. Credits 4
6. Weekly contact hours 4 (0) Lecture 0 (0) Practice 0 (0) Lab
7. Curriculum
PhD Programme
 8. Role
Basic course
9. Working hours for fulfilling the requirements of the subject 120
Contact hours 56 Preparation for seminars 7 Homework 37
Reading written materials 20 Midterm preparation 0 Exam preparation 0
10. Department Department of Material Handling and Logistics Systems
11. Responsible lecturer Dr. Kovács Gábor
12. Lecturers Dr. Kovács Gábor
13. Prerequisites  
14. Description of lectures
The subject gives advanced knowledge of information technology in logistics systems, including modelling and enterprise resource planning systems. One of the main aim is to help the own research of PhD students, which is connected with logistics information systems.
15. Description of practices
 
16. Description of labortory practices
 
17. Learning outcomes
A. Knowledge
  • Knowledge of the modular structure and operation of the logistics information systems.
  • Knowledge of related optimum search tasks and solutions.
B. Skills
  • Able to study the logistics information systems, taking into account the scientific requirements.
  • Able to carry out research and development tasks related to the logistics information systems.
C. Attitudes
  • Strive to maximize their abilities to make their studies at the highest possible level, with a profound and independent knowledge, accurate and error-free, in compliance with the rules of the applicable tools, in collaboration with the instructors.
D. Autonomy and Responsibility
  • Take responsibility for the quality of the work and the ethical standards that set an example for the classmates, using the knowledge acquired during the course
18. Requirements, way to determine a grade (obtain a signature)
The grade of the PhD student is based on the semester activity and the evaluation of the paper (publishing), in consultation with the supervisor.
19. Opportunity for repeat/retake and delayed completion
Announced at the beginning of the semester
20. Learning materials
Slides and examples in electronic format
Effective date 27 November 2019 This Subject Datasheet is valid for Inactive courses