Main page | Study Branches/Specializations | Groups of Courses | All Courses | Roles                Instructions

A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
At the end of each semester, the course instructor has to evaluate the extent to which a student has acquired the expected knowledge and skills. The type of this evaluation is indicated by the attribute completion. So, a course can be completed by just an assessment ('pouze zápočet'), by a graded assessment ('klasifikovaný zápočet'), or by just an examination ('pouze zkouška') or by an assessment and examination ('zápočet a zkouška') .
The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.

MI-IVS Intelligent embedded systems Extent of teaching: 1P+3C
Instructor: Completion: KZ
Department: 18103 Credits: 4 Semester: L

Annotation:
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

Lecture syllabus:
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

Seminar syllabus:
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.

Literature:
[1] Sobftbank Robotics, technical dokumentation at https://developer.softbankrobotics.com.

Requirements:
Knowledge of programming in one of the C++, Java, Python programming languages.

Informace o předmětu a výukové materiály naleznete na https://courses.fit.cvut.cz

The course is also part of the following Study plans:
Study Plan Study Branch/Specialization Role Recommended semester
MI-ZI.2016 Knowledge Engineering V Není
MI-ZI.2018 Knowledge Engineering V Není
MI-SP-TI.2016 System Programming V Není
MI-SP-SP.2016 System Programming V Není
MI-SPOL.2016 Unspecified Branch/Specialisation of Study V Není
MI-WSI-WI.2016 Web and Software Engineering V Není
MI-WSI-SI.2016 Web and Software Engineering V Není
MI-WSI-ISM.2016 Web and Software Engineering V Není
MI-NPVS.2016 Design and Programming of Embedded Systems V Není
MI-PSS.2016 Computer Systems and Networks V Není
MI-PB.2016 Computer Security V Není
NI-TI.2018 Computer Science V 2


Page updated 28. 3. 2024, semester: Z/2023-4, L/2019-20, L/2022-3, Z/2019-20, Z/2022-3, L/2020-1, L/2023-4, Z/2020-1, Z,L/2021-2, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška