Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics

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    Smart City Laboratory

    A tantárgy neve magyarul / Name of the subject in Hungarian: Okos város laboratórium

    Last updated: 2016. május 25.

    Budapest University of Technology and Economics
    Faculty of Electrical Engineering and Informatics
    Electrical Engineering, M.Sc. Course
    Smart City Secondary Specialization
    Course ID Semester Assessment Credit Tantárgyfélév
    VITMMB04 3 0/0/2/f 2  
    3. Course coordinator and department Dr. Marosits Tamás,
    Web page of the course http://alpha.tmit.bme.hu/labor/mb04/
    4. Instructors
    Név:Beosztás: Tanszék, Int.:
    Dr. Tamás Marositsassistant professor
    BME-TMIT
    5. Required knowledge Topics from the Infocommunication (VITMAB03) and Networking Technologies and Applications (VITMA341) subjects.
    6. Pre-requisites
    Kötelező:
    NEM
    (TárgyEredmény( "BMEVITMMB09", "jegy" , _ ) >= 2
    VAGY
    TárgyEredmény("BMEVITMMB09", "FELVETEL", AktualisFelev()) > 0)

    A fenti forma a Neptun sajátja, ezen technikai okokból nem változtattunk.

    A kötelező előtanulmányi rend az adott szak honlapján és képzési programjában található.

    Ajánlott:

    Recommended: It is recommended that students have accomplished relaated theoretical subjects of the specialization before registering for this course. 
    7. Objectives, learning outcomes and obtained knowledge The objective of this subject is to introduce representative elements of the hardware and software building blocks which support smart-city-concept and the usage of these elements to plan and fulfill system-level measurements or to evaluate case studies.
    8. Synopsis
    1. Introduction to the simulation of intelligent transport systems
    2. Programming of microcontroller moduls, using IDE. Information retrieving from sensors. Microcontroller networks.
    3. Wireless communication between sensors. Data sending to IoT-cloud. Data query to
    4. Retrieving and processing car sensor data using OBD2 Bluetooth adapter.
    5. Augmented reality apllications, virtual guide.
    6. Gesture control
    9. Method of instruction

    The instruction happens in the form of 4-hour long laboratory exercises. During the semester each student has to perform out 6 exercises. Students work on the exercises in pairs according to the schedule based on the registration made at the start of the semester. Students have to be prepared themselves for the exercises with the help of the tutorial available in electronic or printed format. Preparedness will be checked with a test in the first ten minutes of the exercise. Student has to repeat the exercise if he/she fails or misses in 2 or more questions from the 5.

    During the exercise the measurement tasks signed as mandatory in the measurement instructions should be performed out. The results of the measurement tasks should be included to a report – template is available in electronic format. A student group may prepare a joint report. Also optional measurement tasks can be done in order to receive better mark for the exercise.

    At the of the exercise teacher give a mark for the exercise for each student and certify with his signature that students completed the exercise.

    10. Assessment

    Assessment should be fulfilled during the semester.
    Each student will receive a midterm mark at the end of the semester, if he/she completed 6 exercises and received to each exercise at least pass (2) mark. The midterm mark will be calculated as the rounded average of the exercise marks.

    The method of the determination of an exercise mark:

    • Basis of the mark – the student receives it if the test was perfect and all of the mandatory tasks are complete: satisfactory (3)
    • Factors increasing the basis:
      • Evaluation of the results of the measurements: +1
      • Completion of the facultative task(s): +1
    • Factors decreasing the basis:
      • Bad or missing measurement results: -1
      • 1 failed or missed answer in the test: -1
      • Report which is not worthy of an engineer (confused, contains numerous grammatical errors, etc.): -1
    11. Recaps Each student can repeat one failed or missed mid-term exercise during the semester. There is no such possibility in the examination period.
    12. Consultations Consultation possibilities with the instructor of different exercises are available by appointment.
    13. References, textbooks and resources The tutorial contains the description of the objectives, devices, methods and tasks of each laboratory exercise. The tutorial is available in electronic format on the servers of the department (http://alpha.tmit.bme.hu/meresek/ or http://www.tmit.bme.hu/okos-v%C3%A1ros-laborat%C3%B3rium-2016) or partially in printed format in the laboratory rooms. The knowledge of the material of relating subject(s) and the general purpose measuring devices are supposed in the measurement instructions.
    14. Required learning hours and assignment
    Lecture 24
    Preparing to lectures 36
    Preparing to midterm tests 
    Preparing to homeworks 
    Studying the given written material 
    Preparing to the exam 
    Sum60
    15. Syllabus prepared by
    Name:Affiliation: Dept.:
    Dr. Rolland Vida, PhDassociate professorBME-TMIT
    Dr. Gábor Fehér, PhD
    associate professor
    BME-TMIT
    Dr. Tamás Marosits, PhD assistant professor
    BME-TMIT