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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Intelligent embedded systems

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Code Completion Credits Range
MI-IVS KZ 4 1P+3C
Lecturer:
Miroslav Skrbek (guarantor)
Tutor:
Miroslav Skrbek (guarantor), Marek Danel
Supervisor:
Department of Digital Design
Synopsis:

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:

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

Syllabus of lectures:

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:

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:

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:
Note:
Time-table for winter semester 2018/2019:
Time-table is not available yet
Time-table for summer semester 2018/2019:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Fri
Thu
Fri
roomTH:A-1048
Skrbek M.
12:45–14:15
EVEN WEEK

(lecture parallel1)
Thákurova 7 (FSv-budova A)
Servitova laborka
roomTH:A-1048
Skrbek M.
14:30–16:00
EVEN WEEK

(lecture parallel1
parallel nr.101)

Thákurova 7 (FSv-budova A)
Servitova laborka
roomTH:A-1048
Skrbek M.
12:45–16:00
ODD WEEK

(lecture parallel1
parallel nr.101)

Thákurova 7 (FSv-budova A)
Servitova laborka
The course is a part of the following study plans:
Data valid to 2019-05-19
For updated information see http://bilakniha.cvut.cz/en/predmet2967806.html