Master’s Degree Program “Digital Intelligent Control Systems” | Siberian Federal University

Master’s Degree Program “Digital Intelligent Control Systems”

The Master's Program "Digital Intelligent Control Systems" is offered by the School of Space and Information Technologies of the Siberian Federal University. The Program provides training in developing embedded intelligent control systems based on modern microprocessors, microcontrollers and programmable integrated circuits (FPGA, PLD, SoC). During the training, students receive skills that allow graduates to perform the full cycle of developing intelligent embedded control systems at a high professional level.

The aim

The master's program "Digital Intelligent Control Systems" is aimed at teaching students methods of developing control systems using modern electronic components and artificial intelligence technologies.

Objectives

  • acquaint students with the basic concepts and terminology in the field of digital intelligent control systems;
  • introduce students to modern approaches to developing intelligent control systems based on neural networks, genetic algorithms, intelligent agents, ets.;
  • provide insight into modern FPGA architecture and FPGA-based design flow, including testing, simulation and verification.
  • teach students to use hardware description language and computer aided tools for designing FPGA/PLD-based digital control units;
  • familiarize students with principles of organizing data exchange between the microcontroller and memory, sensors, peripheral devices using standard interfaces, serial and parallel data exchange;
  • provide an opportunity to apply the knowledge and skills acquired in the framework of separate disciplines, in a package during the implementation of the Final project;
  • give students theoretical knowledge and practical experience in project management, language skills in professional communications, and other soft skills contributing to successful labor market promotion.

Learning outcomes (knowledge, skills, competence)
Upon completion of this module, it is expected that students will be able to:

  • design, verify, and test software/hardware intelligent control systems using system-design platform LabView (© National Instruments) ;
  • develop embedded intelligent control systems for executive automation based on microprocessors and microcontrollers;
  • develop software for embedded systems in C and assembler;
  • build effective FPGA/PLD designs using Hardware Description Language Verilog (or VHDL) and professional CAD Quartus (© Intel);
  • implement circuit solutions for the interfacing of intelligent
  • digital systems with sensor systems and executive automation.

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Relevant links

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Why choose this program?

The expansion of the scope of intelligent digital control systems is one of the main trends in computer technology. Subject matter experts are in demand in the labor market, but their training requires complex technical equipment found within the educational process, as well as the professional and practical experience of the teaching staff. All these conditions are available to the participants of this Master Program. Formed skills cover the full cycle of intelligent control system development.

Core disciplines of the Program are developed or updated in the framework of the international project “Applied curricula in space exploration and intelligent robotic systems (APPLE) (2016-2020)”.

Our international partners are:

  • Technische Universität Berlin, Germany;
  • Sorbonne Université - Université Pierre et Marie Curie, Paris, France;
  • Institute Thomas More Antwerp, Belgium;
  • Technological University Lulea, Sweden;
  • Riga Technical University, Latvia;
  • Tallinn University of Technology, Estonia;
  • Belarusian State University, Minsk, Belarus;
  • Belarusian National Technical University, Minsk, Belarus;
  • Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus;
  • Al-Farabi Kazakh National University, Astana, Kazakhstan;
  • Almaty University of Power Engineering and Telecommunication, Kazakhstan.

Career prospects

Research career: The Master’s degree holder can continue studying to earn a PhD SibFU degree

Teaching Methods

The Program focuses on practical skills in developing industrial purpose control systems, generating a "ready solutions" kit for future use in professional activities.

The practical result of learning is an embedded intelligent digital control system of executive automation, implemented in the framework of the Final Project.

Practical classes are held both individually and in groups to simulate teamwork.

Mastering the Program is possible in the blended learning mode.

All lecture material and some laboratory works are available remotely.

Facilities, Equipment and Software

Training is conducted in specially outfitted laboratories with personal workstations equipped with a high-performance PC, control equipment, a set of sensors and actuators, evaluation boards etc.

Students will use such integrated development environments as ©NI LabView, ©Atmel AVR Tools, ©Xilinx Vivado DS, ©Intel Quartus, © MathWorks MathLab.

Technical support of the educational process is based on the following specialized laboratories:

  • ROBOLAB, implemented within the framework of the Erasmus+ project "Applied curricula in space exploration and intelligent robotic systems - APPLE",
  • Microprocessor Systems,
  • Networks and Telecommunications,
  • Center of High-Performance Computing.
  • Industrial partners and potential employers, providing a base for internship, are leading regional and Russian enterprises.

Fields of Study
  • FPGA/PLD-based Embedded Systems
  • Microprocessor Systems
  • System-on-a-Chip
Duration 2 years
Study intensity Full-time
Delivery mode On campus
Type of degree M.Sc.
Credits 120 ECTS credits
Language of instruction English
Academic requirements
  • BSc degree in Computer Science (a copy of your diplomas from previous university studies and transcripts of completed courses and grades)
  • good command of English (certificate or other official document , English level B1 (European Framework of Reference of Communicative Skills)
  • Skype interview
  • a motivation letter and letters of recommendation may also be required
Tuition fee (per year) 260,000 rubles
The cost does not include accommodation and living expenses. The price could change at the time of signing a learning agreement.
Application deadline July 29th
Accommodation On-campus accommodation is available in double and triple-occupancy rooms (€ 20 per month)
Practicalities Airport transfer and invitation letter for a Russian study visa are provided by the University

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Oleg V. Nepomnyashciy

Alexey A. Kytmanov

Ph.D. in Engineering, Professor, Head of Computer Science department, ISIT SibFU.
e-mail: ONepomnuashy@sfu-kras.ru
CV in English (.pdf)
Google Scholar: https://scholar.google.com/citation...
Profile on another site: http://vt.ikit.sfu-kras.ru/people/N...

Area of expertise:

  • High-level design of VLSI circuit;
  • Microprocessor systems;
  • Measurement systems;
  • CAD tools for VLSI and Systems on Chip design.

Coordinator and participant of Funded Projects:

  • Local work group coordinator for the project “Applied curricula in space exploration and intelligent robotic systems (APPLE)” supported by EACEA grant 573545-EPP-1-2016-1-DE-EPPKA2-CBHE-JP.
  • Development of a multifunctional on-board control complex for the small spacecraft using a radiation-resistant element base of the Russian production of the system-on-chip class (2014-2016).
  • Development of the VLSI Class Architecture System-on-a-Chip for Creating a Goniometric Navigation Receiver (2015-2017).
  • Creation of high-tech production of modern angular satellite navigation equipment based on the Russian microelectronic components of the system-on-chip class (2016-2017).
  • Development and debugging of a hardware-software simulator of an spacecraft onboard control complex (2017-2020).

Recent articles and papers in peer-reviewed journals:

  1. Nepomnyashchiy O.V., Ryjenko I.V., Shaydurov V.V., Sirotinina N.Y., Postnikov A.I. The VLSI high-level synthesis for building onboard spacecraft control systems. Proceedings of the Scientific-Practical Conference "Research and Development - 2016" Springer International Publishing AG Cham, Switzerland 2017 р.737.
  2. Oleg V. Nepomnyashchiy, Yuri V. Krasnobaev, Aleksey P. Yablonsky, Vyacheslav V. Potekhin, Natalia J. Sirotinina. Ensuring minimum duration of transient processes in switched voltage regulators with digital control. EAI Endorsed Transactions on Energy Web and Information Technologies. №.19(24): e6. EAI Endorsed Transactions. 2019. doi: 10.4108/eai.16-10-2019.160838
  3. O. V. Nepomnyashchiy , I.N. Ryzhenko, A.E. Lutsenko, O.G. Varygin. Carrier compensation mode implementation in satellite communication channels. IEEE: 2019 International Siberian Conference on Control and Communications (SIBCON). Tomsk, 2019, DOI: 10.1109/SIBCON.2019.8729665
  4. Oleg Nepomnyashchy, Alexandr Legalov, Valery Tyapkin, Igor Ryzhenko, Vladimir Shaydurov. Methods and algorithms for a high-level synthesis of the very-large-scale integration. WSEAS Transactions on Computers ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 15, 2016, Art. #22, pp. 239-247
  5. Nepomnyashchy O.V., Legalov A.I., Sirotinina N.J. The VLSI high-level synthesis for building onboard spacecraft control systems Proceedings of the Scientific-Practical Conference "Research and Development - 2016". Springer International Publishing AG, Cham, Switzerland, 2017. p.p.229-238 p.
  6. Nepomnyashchy OV, Krasnobaev Yu.V., Ivanchura V.I., Pozharkova I.N., Yablonsky A.P. Pulse voltage regulator with a digital control system for an autonomous power supply system. Bulletin of Tomsk Polytechnic University. Georesource engineering [in-Russian]. 2018. Volume 329, No. 11. P. 61 - 73.
  7. Nepomnyashchiy O., Goreva V. Dynamically reconfigurable single-chip computing modules in digital control circuits for space vehicles. Anthology of scientific research papers “Space Engineering, Technologies & Exploration”. ECM Space Technologies GmbH, Berlin, Germany, 2018. p.p.176-181.

Study Plan

First year — 60 ECTS credits
1 semester 30 ECTS credits
Master's courses 27 ECTS credits
Electronical Engineering 8 ECTS credits
Mesurement and Testing 7 ECTS credits
Sensors and Visual Systems 5 ECTS credits
Microcontrollers and Systems-on-Chip 4 ECTS credits
Language skills 3 ECTS credits
Research seminar 3 ECTS credits
2 semester 30 ECTS credits
Master's courses 22 ECTS credits
Microcontrollers and Systems-on-Chip (Part II) 6 ECTS credits
C Programming for Embedded Software 6 ECTS credits
Digital System Design 4 ECTS credits
Digital Signal Processing 3 ECTS credits
Professional Communication 3 ECTS credits
Research seminar 5 ECTS credits
Internship 3 ECTS credits
Second year — 60 ECTS credits
3 semester 30 ECTS credits
Master's courses 27 ECTS credits
Digital System Design (Part II) 4 ECTS credits
Digital Signal Processing(Part II) 5 ECTS credits
Intelligent Systems and Neural Networks 6 ECTS credits
Internet of Things 3 ECTS credits
Research Project Management 3 ECTS credits
Elective courses 6 ECTS credits
Wireless and Sensor Networks 3
Optimization of Computer Networks
Wireless and Sensor Networks 3
Real-time Operating Systems
Research Project 3 ECTS credits
4 semester 30 ECTS credits
Externship 8 ECTS credits
Final Project 12 ECTS credits
Final certification 10 ECTS credits
TOTAL 120 ECTS credits

More information?

Please contact our Department of International Educational Programs, SibFU

e-mail: study [at] sfu-kras [dot] ru
phone: +7 391 206-39-28
fax: +7 391 206-21-66
address: 82/6 Svobodny pr., room 427, Krasnoyarsk, 660041 Russia

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