Computer vision and artificial intelligence

• 
  Master of COMPUTATIONAL SCIENCE (ITMO University)
  
• 
  Master of Science (LUT)
  

The study program is extended over 2 calendar years according to the following scheme:

Master’s Degree Program educates for the requirements of IT-industry, research institutions and business within the field of Computer Science. The general objective of the degree program is to train efficient teamwork-capable experts and to provide them a solid ground for the independent continuation of learning in the ever changing field of computer science and IT industry. Post-graduate studies are possible both in NRU ITMO and LUT.

The students who will successfully complete this course will be able to

• 
  Understand the fundamental concepts of designing and programming modern computer vision systems, including requirements specifications, architectural and detailed design, and implementation;
  
• 
  Design models of intelligent systems processing;
  
• 
  Develop software for complex systems of image understanding, analysis and processing;
  
• 
  Implement management skills for modern intelligent computer systems development in IT companies;
  
• 
  Administrate promising trends in computer vision systems progress
  

Students are required to present and maintain an e-portfolio & research record which represents them as a student as well as a professional.

If you have any questions, or require further information, please contact:

Computer Photonics and Videomatics Chair

NRU ITMO

Dr. Igor P. Gurov, Head of Chair

Phone: +7 (812) 315-7534

E-mail: gurov@mail.ifmo.ru

The programme structure

Structure of DD Programme – ITMO (1^ST YEAR)

• 
  Logic and Methodology of Science
  
• 
  Methodology of IT engineering and development
  
• 
  Image Analysis in Optical Coherent Tomography and Digital Holography
  
• 
  Systems Analysis and AI/ General Artificial Intelligence
  
• 
  Modern Videomatics
  
• 
  Image Recognition
  
• 
  Mathematical Modelling/ Advanced Applied Mathematics
  
• 
  Research Methods, laboratory Project
  

• 
  Digital Imaging and Image Preprocessing
  
• 
  Seminar on Intelligent Computing
  
• 
  Introduction to Computer Graphics
  
• 
  Pattern Recognition
  
• 
  Machine Vision and Digital Image Analysis/ Computer Vision
  
• 
  Academic Writing in English
  
• 
  Research Methods, Laboratory Project
  

Main goal of this course is to develop understanding and implementation skills of all aspects of modern computer vision science. Historical background will be considered in relation to image post and preprocessing methods, pattern recognition approaches and biological background which laid the foundation to computer vision discipline. Student will know about implementation of these methods and their modifications. Modern methods will also be learned: their implementation, areas of usefulness, problems and modifications.

This course is devoted to general theory of artificial intelligence, stages of its evolution, modern trends and techniques. Special attention will be given to chapters of machine learning, pattern recognition, but problems of knowledge representation and reasoning will also be considered.

This course is focused on implementation of artificial intelligence knowledge to highly automated software development. Different approaches to such development will be considered.

The point of that course is the optical coherence tomography and digital holography images processing. History of tomography and holography will be spoken. This course delivers special tricky techniques to imaging, transmission and analysis of such images. Basic theory of signal processing will be considered too.

Main aspects of software development process will be learned during this course. Teamwork, basics of extreme programming, stages of development and integration of IT projects is going to be studied.

Our laboratories supplied with modern equipment, including optical coherence tomography installations, humanoid robots, quadcopters, kinect cameras, stereo cameras, high resolution 3D scanner and highly performance computers especially for intelligent computer vision systems.

Highly qualified training staff, modern hardware and software, equipped laboratories, qualitative methodological support of educational programmes have significant impact on competitive advantage of training.

The Master’s degree programme is mainly given in English and the modules included are common both for native students continuing from Bachelor’s programme and international students accepted directly into International programme of the NRU ITMO and LUT IT.