Subject Datasheet
Download PDFBudapest University of Technology and Economics | |
Faculty of Transportation Engineering and Vehicle Engineering |
1. Subject name | Machine Intelligence | ||||
2. Subject name in Hungarian | Intelligens gépek | ||||
3. Code | BMEKOALM644 | 4. Evaluation type | exam grade | 5. Credits | 4 |
6. Weekly contact hours | 2 (10) Lecture | 2 (11) Practice | 0 (0) Lab | ||
7. Curriculum | Vehicle Engineering MSc (J) |
8. Role | Specialization (sp) at Vehicle Engineering MSc (J) |
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9. Working hours for fulfilling the requirements of the subject | 120 | ||||
Contact hours | 56 | Preparation for seminars | 12 | Homework | 15 |
Reading written materials | 17 | Midterm preparation | 0 | Exam preparation | 20 |
10. Department | Department of Material Handling and Logistics Systems | ||||
11. Responsible lecturer | Dr. Szirányi Tamás | ||||
12. Lecturers | Dr. Szirányi Tamás, Bohács Gábor, Rózsa Zoltán | ||||
13. Prerequisites | |||||
14. Description of lectures | |||||
The subject has the purpose of extending the knowledge of the students about the following topics: origin and areas of artificial intelligence; expert systems, fuzzy systems, neural networks; basic methods of image processing and shape recognition; basic methods of identification and biometrics; path planning, navigation and control of mobil robots; autonom mobile machines and automated guided vehicles. | |||||
15. Description of practices | |||||
During the practice the students are solving examples about the topic of the lectures. | |||||
16. Description of labortory practices | |||||
17. Learning outcomes | |||||
A. Knowledge
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18. Requirements, way to determine a grade (obtain a signature) | |||||
The evaluation of the learning results is based on the written (homework) and oral (oral exam) performance. Students must complete a homework assignment during the semester. At the end of the semester, the requirement is to submit the task at a minimum level. The exam pass is 30% based on the homework and 70% on the oral examination. | |||||
19. Opportunity for repeat/retake and delayed completion | |||||
The homework can be corrected until the end of the week of examinations. The oral exam can be re-take first free of charge. The second and higher re-take of the same subject has charge regulated by the university. |
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20. Learning materials | |||||
Moodle online notes provided by the department; Bernd Jahne: Digital Image Processing, 5st edition, Springer, Heidelberg, 2002; W. K. Pratt: Digital Image Processing, Wiley, 200- ; Kató Zoltán, Czúni László: Számítógépes látás, Typotex, 2011; Anil K. Jain, Patrick Joseph Flynn, Arun A. Ross: Handbook of Biometrics, ISBN 978-0-387-71040-2; Horváth Gábor: Neurális hálózatok és műszaki alkalmazásaik, ISBN: 9634205771 | |||||
Effective date | 10 October 2019 | This Subject Datasheet is valid for | Inactive courses |