Free winter online school Computer Engineering: Applied AI and Robotics


Dates: 15-19 February 2022

Dive into new knowledge and feel like a student of one of the TOP Universities in Russia!

Winter School is a meeting with specialists from Tomsk State University and invited experts in the field of robotics. It provides a wide program of events for Bachelor students and university graduates.

Here you will learn:

BRIEF INFORMATION ABOUT THE WINTER SCHOOL ...

Winter School is a free event held online, so you may participate from anywhere in the world!

Why participate?

  • Meet with university specialists in the field of robotics
  • Understand opportunities of the Master’s program Computer Engineering: Applied AI and Robotics at Tomsk State University
  • Receive a certificate of participation and get a discount up to 40% for tuition fee under the Master’s program Computer Engineering: Applied AI and Robotics
  • Get an expert advice and increase your relevance in the labor market

WINTER SCHOOL PROGRAM:

Date

Time (Tomsk)

+7 UTC

Event

Speaker

February 15 (Tuesday)

17.30-18.00

Greetings.

-General information about Tomsk State University.

-General information about Master’s Program Computer Engineering: Applied AI and Robotics.

-General information about Winter online school

 

International division, Tomsk State University

 

Tatiana B. Rumyantseva, program manager

 

18.00-20.00

Masterclass 1 “Intellectual drones”

Mainak Mondal, University of Connecticut, USA

 

20.00-20.30

Statement of an assignment for practical task 1

Mainak Mondal

February 16 (Wednesday)

17.30-20.30

Practical task 1 “How to program intellectual drones in the ROS environment”

Independent work of school participants

February 17 (Thursday)

17.30-18.00

Results of practical tasks 1, discussion with the school participants

Mainak Mondal

 

18.00-20.00

Masterclass 2 “Computer vision and neural networks

Moutayam A. Khaddour, Tomsk State University

 

20.00-20.30

Statement of an assignment for practical task 2 “How to program neural networks and build a system for image recognition”

Moutayam A. Khaddour

February 18 (Friday)

17.30-20.30

Practical task 2 “How to program neural networks and build a system for image recognition”

Independent work of school participants

February 19 (Saturday)

17.30-18.00

Results of practical tasks 2, discussion with the school participants

Moutayam A. Khaddour

 

18.00-20.00

Masterclass 3 “Industrial robotics”

Practical task 3 “Simulation of automation processes in Kuka Sim Pro + programming of an industrial robot”

Mikhail Okunsky, Tomsk State University

 

20.00-20.30

Reflection after the school

Tatiana B. Rumyantseva, program manager

 

20.30-21.30

Final online test for a certificate  

Independent work of school participants

We look forward to your active participation!

BRIEF INFORMATION ABOUT SPEAKERS:

Mainak Mondal

 

Mainak is a Master’s Graduate from the National Research Tomsk State University (Master’s program Computer Engineering: Applied AI and Robotics) and has worked as a Robotics Engineer at the High performance reconfigurable systems (HPRS) Laboratory at the same. He specializes in designing, tuning, and automating Unmanned Aerials Vehicles. He has worked on full-scale projects related to Aerial Defense and Payload Delivery using drones.

He also has a diverse research profile backed up by various patents and publications working on the betterment of Autonomous Drones, namely Non-GPS Navigation and Precise Landing Solutions using Sensor fusion and Computer Vision. 

He is currently pursuing his doctoral studies at the University of Connecticut, USA.

Mikhail Okunsky

A doctoral student at the Faculty of Innovation Technologies, Tomsk State University, and the Head of Intelligent control systems Lab.

Points of interest:

· automation of technology processes;

· autonomous vehicles;

· FPV-drones.

Research interest:

· reconfigurable algorithms for UAV;

· control systems for UAVs

A member of research project groups:

· UAV for hunting drones (a hardware engineer);

· Delivery Drones (a hardware engineer)

Moutayam Ameen Khaddour

A 2nd year Master student of Tomsk State University, Master’s program Computer Engineering: Applied AI and Robotics and a member of the Intelligent control systems Lab.

Points of interest and skills:

-Programmer: Python, C, C#, & Matlab

-Embedded Systems Designer: PIC, Atmega, FPGAs(Verilog mostly)

-Analog & Digital Electronic

Research interest:

-Navigation: Inertial, GNSS, Kalman Filters

-Machine (Learning + Vision)

-Drones


Join US FOR FREE

The program is intended for specialists able and willing to carry out research projects in the field of Applied Artificial Intelligence and Robotics. Students gain skills and knowledge in computer-assisted vision, intelligent vision systems, simulation modeling of complex technological processes, and mathematical modeling of processes. Students learn how to develop and operate Autonomous Mobile Robotic Systems, Automated Information Systems and Unmanned Transport Systems.

Master students gain skills and knowledge in the following areas:

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Automated Information Systems

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Matematical and System Modeling

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Unmanned Aerial Systems

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Data Mining and Analysis

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Robotics and Embedded Systems

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Digital Twins

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Integrated Information System

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Computer Assisted Vision

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System Simulation

Why join the International Masters program
at Tomsk State University?

The Faculty of Innovation Technologies at National Research Tomsk State University has been one of the leading contributers to develpoment and research of Unmanned Systems in the nation. Knowledge exploration throughout the University’s network of facilities is united by a culture of innovation. An unprecedented commitment from the student center of Russia(Tosmk) ensures TSU attracts internationally renowned faculty and the world’s brightest students. A tradition of guiding and supporting outstanding students makes TSU a standout in Academics and beyond. As a vibrant, progressive leader, the Faculty of Innovation Technologies at TSU fosters a diverse and dynamic culture that meets the challenges of a changing global society.

Curriculum

1'st Semister

  • Mathematical Foundations of Information Systems
  • Theory of control systems
  • Technology management
  • Automation of technology processes (Part 1)
  • AI and machine learning (Part 1)
  • Intelligent analysis of big data
  • Professional communication in a foreign language
  • Project management
  • Research work

2'nd Semister

  • System simulation
  • System design
  • Automation of technology processes (Part 2)
  • AI and machine learning (Part 2)
  • System engineering
  • Distributed computing technologies
  • Quality management in automatic control systems
  • Academic seminar
  • Research work

3'rd Semister

  • Vision systems
  • Intellectual property protection
  • Embedded systems
  • Leadership and Teamwork Management
  • Navigation systems
  • Technical Measurements and Experimental Techniques
  • Intercultural interaction
  • Academic seminar
  • Research work

4'th Semister

  • Research work
  • Soft Skills
  • Master's Thesis Defence

Still not convinced ?

At the Faculty of Innovation Technologies we believe that with hard work and determination, anyone can max out their potential. Just ask our Students!

Everyone at TSU is very friendly and helpful, I am greatful to get to be a part of the Tomsk State University Family.

- Edgar Solis Romeu Web Developer - ABC Inc.

Attending Tomsk State University, was one of the best decissions of my life. Its an honor to be a part of this prestigious Instituition.

- Mainak Mondal Engineer - TSU.

Tomsk State University has given me more than enough oppertunities to shine. Accepting TSU's offer was a turning point in my career.

- Michael Oduro Persuing Higher Studies