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 BMEKOKKM227 4. Evaluation type mid-term grade 5. Credits 3
6. Weekly contact hours 2 (7) Lecture 0 (0) Practice 0 (0) Lab
7. Curriculum
Transportation Engineering MSc (K)
8. Role
Specialization (sp) at Transportation Engineering MSc (K)
9. Working hours for fulfilling the requirements of the subject 90
Contact hours 28 Preparation for seminars 4 Homework 20
Reading written materials 26 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 the Smart City concept, urban planning models, social media types, mobility patterns, Big Data data types, the Internet of Things model and features;
B. Skills
  • Able to define Smart City features, use assessment methodologies, apply land use models, use road planning principles, use Big Data approaches, distinguish between Smart Grid elements; 
C. Attitudes
  • Maximizing abilities, extends the knowledge by their own, strives for precise task solving;
D. Autonomy and Responsibility
  • Responsible applies of acquired knowledge in individual or in team work.
18. Requirements, way to determine a grade (obtain a signature)
2 midterm tests (50%), 1 homework (50%)
19. Opportunity for repeat/retake and delayed completion
Midterm test correction possibility for those not present on one of the tests, possibility of delayed deadline for home work.
20. Learning materials
Presentation slides and electronic lectrue notes.
Effective date 10 October 2019 This Subject Datasheet is valid for Inactive courses