Web Content Display Web Content Display

Contact Information
Russian Program Director

Sergey Zaydullin

Program coordinator

Sergey Zaydullin
Associate Professor
SSZaydullin@kai.ru, +79518924855

GRIAT officer

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

Web Content Display Web Content Display

Intelligent Data Processing

Program description

The program is aimed at achieving practice-oriented knowledge and skills in the field of Computer Science and Information Technology for intelligent data processing for different applications. It includes basic subjects such as Artificial Neural Networks, Parallel Computing Systems, Software Engineering, Research Skills as well as advanced subjects such as Document and Content Analysis, Image Processing and Computer Vision, Very Deep Machine Learning, etc.

During their studies students are working on integrated projects and in the 4th semester they prepare and defend their Master thesis under the join supervision of Russian and German professors.

2
Education
period
5/3
5 - budget places
3 - contract places
2 diplomas
English-taught program

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

  • Artificial Neural Networks
  • Document and Content Analysis
  • Embedded Intelligence
  • Computer Systems (Fundamentals of Embedded Systems and Architecture of parallel computing systems)
  • Concurrency Theory and Parallel Computing
  • Machine Learning (Foundation and Applications, Recent Methods and Technologies)
  • Computer Vision
  • Nonlinear Optimization
  • Software Engineering

Master Thesis topics

The program opened in 2018, the first masters defense will be held in 2020.

  • Artefact Detection in Images Using Deep Learning
  • Automatic traffic sign recognition using deep learning
  • Decomposition of significant factors of the nonlinear regression model into relevant subsets by machine learning
  • Efficient Surround View Calibration and Auto-calibration for Automotive Application
  • Detection of the ground plane and drivable area in stereo-videos
  • Point matching and tracking using deep-learning
  • Cross-spectral stereo matching using deep-learning
  • Scene interpretation in NIR/thermal images

Curriculum
Russian curriculum
English curriculum
Flying faculty

Prof. Dr. Klaus Schneider

Places of employment

GDC Services

BARS Group

InnoSTage

Ak Bars Digital Technologies

Sberbank Technology

FIX group

Center for Information Technologies of the Republic of Tatarstan

Tattelecom

MTS Group

PJSC VimpelCom