Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Smart City
2. Subject name in Hungarian Intelligens városok - Smart city
3. Code BMEKOKKD011 4. Evaluation type mid-term grade 5. Credits 2
6. Weekly contact hours 2 (0) Lecture 0 (0) Practice 0 (0) Lab
7. Curriculum
PhD Programme
 8. Role
Specific course
9. Working hours for fulfilling the requirements of the subject 60
Contact hours 28 Preparation for seminars 4 Homework 0
Reading written materials 16 Midterm preparation 12 Exam preparation 0
10. Department Department of Transport Technology and Economics
11. Responsible lecturer Dr. Tóth János
12. Lecturers Dr. Tóth János, Dr. Esztergár-Kiss Domokos
13. Prerequisites  
14. Description of lectures
Paradigm shift in urban citizen life. Smart city introduction, evaluation and ranking methods. City planning aspects, methods and strategies. Introduction to land use functions and models. Shared spaces, public space transformation. Utilization of information received from social media and mobility patterns. Big data and Internet of Things solutions. Smart Grids and its applications. Top international and Hungarian best practices.
15. Description of practices
 
16. Description of labortory practices
 
17. Learning outcomes
A. Knowledge
  • Familiar with Smart City concept, urban planning models, social media types, mobility patterns, Big Data data types, Internet of Things model and features.
B. Skills
  • Defines Smart City features, calculates with evaluation methods, applies land use models, uses road planning principles, uses Big Data approaches, distinguishes Smart Grid elements.
C. Attitudes
  • Provides maximized abilities, extends knowledge independently, strives for precise task solving.
D. Autonomy and Responsibility
  • Applies acquired knowledge during the course in a responsible way, accepts the framework of cooperation, is able to work independently or in a team.
18. Requirements, way to determine a grade (obtain a signature)
There will be 2 written test during the semester, students need to pass both. The course mark will be calculated from the average of test marks.
19. Opportunity for repeat/retake and delayed completion
Midterm test correction possibility for those not present on one of the tests
20. Learning materials
Presentation slides and electronic lectrue notes
Effective date 27 November 2019 This Subject Datasheet is valid for 2023/2024 semester I