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Contact Information
Academic Director

Yuriy Evdokimov

Program coordinator

Evgenii Denisov
Associate Professor
+79179323612, esdenisov@kai.ru

GRIAT officer

Aysha Sled
Admission Officer
+79030614022, AASled@kai.ru

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Embedded Systems

Program description

Embedded systems are computer systems with the dedicated functions of measuring, monitoring or control within a larger mechanical or electrical system. Currently, embedded systems are used everywhere: in aerospace, automotive, biomedical technology, industrial and communication equipment, consumer electronics, personal devices and many other fields. Embedded systems are distinguished by structural complexity, deep hardware-software integration and operation within severe environment. They should meet the following requirements: real-time operation, fault tolerance, parallel operation, distributed and flexible architecture, low power consumption.

The program is aimed at obtaining research and practical skills in the following fields of Computer Science and Electrical Engineering: Hardware and Software Engineering, Data Mining, Intellectual Data Processing, Machine Learning, Microprocessor Engineering, FPGA technologies, Fundamentals of Robotics, Cyber Physical Systems and Internet of Things.

Students participate in complex scientific projects and in the 4th semester they prepare and defend Master thesis under the joint supervision of German and Russian professors.

2
Education
period
8/2
8 - budget places
2 - contract places
2 diplomas
English-taught program

1st, 2nd and 4th semesters
3rd semester
Admission requirements
Main subjects

  • Concurrency Theory
  • Introduction to Information and Coding Theory
  • Fundamentals of Embedded Systems
  • Processor Architecture
  • FPGA for Embedded System Design
  • Power-Aware Embedded Systems
  • Regression and Time Series Analysis
  • Foreign language
  • Machine Learning
  • Fundamentals of Robotics
  • Embedded intelligence
  • Model-based Design of Embedded Systems
  • Bus Systems
  • Safety and Reliability of Embedded Systems
  • 3D Computer Vision
  • OS-based programming of Embedded Systems

Master Thesis topics

  • Modeling and analysis hydrogen fuel cell based on (Gated Recurrent Unit) Recurrent neural network.
  • Automated detection of mind wandering while reading and listening music
  • Cloud-based diagnostic system for Lithium batteries
  • CNC cutting tool monitoring system as element of Industrial Internet of Things
  • Software and hardware for fiber optic sensor data acquisition system
  • Developing the control algorithm for the system of positioning a rotor with active magnetic bearings
  • Analysis and Modeling of PLL Jitter Due to Power Supply and Substrate Fluctuations
  • High Level Power Consumption Model оf Analog Amplifiers

Curriculum
Russian curriculum
English curriculum
Flying faculty

Prof. Dr. Klaus Schneider

Places of employment

ООО Мера НН

АО БАРС Груп

ПАО АК БАРС БАНК

АО Казанский электротехнический завод

ОАО Казанский завод Электроприбор

ICL-GDC

НПК ВОЛГА-АВТОМАТИКА

Всероссийский научно-исследовательский институт расходометрии