Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Signal processing in transport
2. Subject name in Hungarian Jelfeldolgozás a közlekedésben
3. Code BMEKOKAM211 4. Evaluation type exam grade 5. Credits 5
6. Weekly contact hours 2 (10) Lecture 2 (11) 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 150
Contact hours 56 Preparation for seminars 12 Homework 7
Reading written materials 43 Midterm preparation 12 Exam preparation 20
10. Department Department of Control for Transportation and Vehicle Systems
11. Responsible lecturer Dr. Bokor József
12. Lecturers Lövétei István
13. Prerequisites  
14. Description of lectures
Characteristics of micropocessors, internal architectures, operation modes. Linear and interruption controlled functionning. Characteristics of microcontrollers, the MCS-51 architecture. Internal registers, instruction set.
Realization of the serial communication by microcontroller: RS-232, RS-485, fail-safe RS-485, CAN. Data protection, secure data transfer. A/D and D/A converters. Filtering of digital signals. Digital Signal Processors (DSPs). Software development processes, safety-related software development. Safety relted HW and SW systems. Samples in transportation applications.
15. Description of practices
In practices, every student programs an own microprocessor type Intel-8051, on a computer based developping environment. In the first half of the semester (weeks 1-7) the ASM, in the seond half of the semester (weeks 8-14) the C is the used programming language.
16. Description of labortory practices
 
17. Learning outcomes
A. Knowledge
  • knows the basics of building embedded systems
  • knows the basic serial communication techniques
  • knows the basic principles of A / D and D / A conversion
  • knows basic signal processing algorithms
B. Skills
  • capable of programming embedded systems
  • is able to design data collection systems
C. Attitudes
  • is interested in modern IT solutions
D. Autonomy and Responsibility
  • is able to apply the knowledge acquired here to other similar, yet unknown systems
18. Requirements, way to determine a grade (obtain a signature)
In the study period 2 midsemester exams and one homework, all of them are the prerequisites of the signature, and consequently of the final exam. The final result is the 1/3 - 2/3 ratio of the study period performance (within the ratios: 1/3 for 1st midterm, 1/3 for 2nd midterm, 1/3 for homework) and the exam note.
19. Opportunity for repeat/retake and delayed completion
All tasks can be retried based on the Code of Studies.
20. Learning materials
Lecture notes
Effective date 10 October 2019 This Subject Datasheet is valid for Inactive courses