Intelligent embedded systems
Code | Completion | Credits | Range |
---|---|---|---|
MI-IVS | KZ | 4 | 1P+3C |
- Course guarantor:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Digital Design
- Synopsis:
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Intelligent embedded systems course for master's degree is focused on high-level technology embedded systems integrating artificial intelligence. The course is an advance version of the Intelligent embedded system fundamentals course for the bachelor degree. The aim of the course is to teach students humanoid robot programming and advance application development. Lectures provide basis of motion control, sensor reading, application interfaces, robot navigation and development tools. In labs, students develop advanced applications combining knowledge of various courses like nature inspired algorithms, data mining algorithms, image recognition and web technologies
- Requirements:
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Knowledge of programming in one of the C++, Java, Python programming languages.
- Syllabus of lectures:
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1. Introduction, robot basis
2. Application interfaces for programmers, robot simulator
3. Motion control and balancing by programmer
4. Object manipulation
5. Sensor events and their processing
6. Communication interfaces, web information source usage
7. Neural network and computational intelligence method usage
8. Voice navigation and sound source localization
9. Visual simple object recognition
10. Simple navigation methods
11. Cooperative robotics
12. Student project presentation
13. Assessment
- Syllabus of tutorials:
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The labs are based on individual or team projects. Students present their projects at the end of the semester. Projects contain advanced methods like navigation, image recognition, neural networks, computational intelligence algorithms, web information source usage.
- Study Objective:
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The goal of the course is to provide students advanced knowledge and practical experiences in the intelligent embedded systems field and give them opportunity to apply a wide spectrum of knowledge obtained from various courses for solving complex problems.
- Study materials:
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[1] Sobftbank Robotics, technical dokumentation at https://developer.softbankrobotics.com.
- Note:
- Further information:
- https://courses.fit.cvut.cz
- No time-table has been prepared for this course
- The course is a part of the following study plans:
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- Master branch Knowledge Engineering, in Czech, 2016-2017 (elective course)
- Master branch Computer Security, in Czech, 2016-2019 (elective course)
- Master branch Computer Systems and Networks, in Czech, 2016-2019 (elective course)
- Master branch Design and Programming of Embedded Systems, in Czech, 2016-2019 (elective course)
- Master branch Web and Software Engineering, spec. Info. Systems and Management, in Czech, 2016-2019 (elective course)
- Master branch Web and Software Engineering, spec. Software Engineering, in Czech, 2016-2019 (elective course)
- Master branch Web and Software Engineering, spec. Web Engineering, in Czech, 2016-2019 (elective course)
- Master program Informatics, unspecified branch, in Czech, version 2016-2019 (elective course)
- Master branch System Programming, spec. System Programming, in Czech, 2016-2019 (elective course)
- Master branch System Programming, spec. Computer Science, in Czech, 2016-2017 (elective course)
- Master specialization Computer Science, in Czech, 2018-2019 (elective course)
- Master branch Knowledge Engineering, in Czech, 2018-2019 (elective course)