Кафедра КІТС

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About us

A new department of “Computer Intelligent Technologies and Systems” (KITS) has been established at the Faculty of CIU (according to the order № 217 of April 26, 2019).

The Department of KITS prepares Masters in the specialty 123 – Computer Engineering, in the educational program “Computer Intelligent Technologies” (KIT) – 16 budget places.

Qualification received by the graduate of the department: Master, Computer Engineering, Computer Intelligent Technologies

In its work, the department is guided by the regulatory framework of KNURE. https://nure.ua/universytet/normativno-pravova-baza#id13

Almost all applicants for the educational program KIT 2019 (students of KITm-19-1) receive a scholarship (https://nure.ua/wp-content/uploads/Rank_stipendiya/CEC/5_1_kurs_Master/spring_2020/ksm_sks_sp_kit.pdf) and have scientific publications due to fruitful work with teachers of the department. In just six months of study, more than 40 publications have been published, including in the Scopus scientometric database.

The main direction of training masters for the new educational program KIT – algorithmic, software and hardware of computer intelligent systems. It is planned to teach disciplines in the areas of which include: analysis of large data using artificial neural networks; intelligent video analytics; basics of deep learning (for computer vision, image recognition, etc .; methods and tools of artificial intelligence (AI); intelligent computer systems on the platform Raspberry Pi and programming for it in Python; basics of accelerated computing in CUDA (for C / C + +, Python), acceleration of cybersecurity applications using GPU, architecture of neurocontrollers and neuroprocessors, computational methods and models based on artificial immune systems and others.

Constantly emerging new technologies have already changed our lives and the world around us. And not only smart homes and embedded systems, but also smart City, smart production, virtual reality, facial recognition technologies, generating competing networks, genetic prediction of the use of AI for the development of machine vision – are not fiction, but real opportunities for revolutions in medicine, science, production and robotics.

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About us