Translation. Region: Russian Federal
Source: Novosibirsk State University –
An important disclaimer is at the bottom of this article.
Yesterday, the first Master's students graduated from two new programs Faculty of Information Technology NSU, launched in 2023, are “Internet of Things” and “Artificial Intelligence and Data Science”. The programs are distinguished by their interdisciplinary nature and in-depth training, which allows solving a wide range of problems in in-demand IT areas.
The Internet of Things (IoT) is a network of physical objects that can be connected using various technologies and sensors to collect and analyze data. This data can be used to optimize processes, improve quality of life, and manage resources. The development of IoT opens up new opportunities for business, industry, transportation, healthcare, and many other areas. However, to realize all these opportunities and benefits, a qualified team of specialists is needed who have deep knowledge in a wide range of areas, from programming and data analytics to communications technology and security, and also understand the operation of the sensors themselves and the subject area in which they are used.
— IoT is one of the trends in the development of modern IT. When preparing to create and design solutions for the Internet of Things, a master's student must demonstrate a whole range of knowledge. Firstly, it is necessary to learn how to work in conditions of limited computing performance and electricity, since Internet of Things devices must provide a long battery life. Secondly, in order for your system to work, a computer is not enough, you must ensure the transfer of this data. Thirdly, where we deal with data, the task arises to ensure its safety and protection. I will give an example from the healthcare sector. We all know smart watches that measure the pulse, count the number of steps, etc. In order for them to perform tasks, for example, monitoring the health of the elderly, it is necessary to implement more complex Internet of Things tools. The question arises: since this is personal, medical data, it is necessary to provide for its correct protection. Thus, in order to work in the IoT field, you need to be able to solve a whole range of problems and be an expert in different sections of modern information technology. Within the framework of the new direction, we are training exactly such specialists, — the dean of the NSU FIT, Corresponding Member, spoke about the features of the program. RAS Mikhail Lavrentiev.
The new program is also distinguished by the fact that during their studies, master's students participate in the implementation of projects that are carried out on order or in cooperation with businesses working in the IoT area. Thus, the university's partner in organizing the new master's program was the company "Laboratory of the Internet of Things", which develops ground equipment for satellite systems, as well as the company YADRO.
Denis Enes, a graduate of the Master's program "Internet of Things" at the NSU Institute of Information Technologies, shares his impressions of the training:
– I graduated from the NSU FIT Bachelor’s degree program in Computer Science and Systems Engineering. At the same time, a new program appeared in the FIT Master’s program – Internet of Things. I wanted to study something new, so I applied. The workload was heavy, especially in the first year, so it was difficult to combine study and work. However, it was worth the effort: as a result, I acquired knowledge that was different from what I received in my Bachelor’s degree, so now I have more opportunities for further career development.
In the second program, "Artificial Intelligence and Data Science," students received the necessary knowledge to work with artificial intelligence. They learned to develop intelligent solutions by participating in real company projects, as well as to apply AI and Data Science technologies in information and analytical activities for a wide range of areas of the digital economy.
— We have developed a program that allows our master's students to understand what artificial intelligence is, what needs to be done to make its systems work, how to construct a database, how to estimate the size of the required hardware base that will support the system. So, now AI is increasingly penetrating into people's everyday lives — these are solutions for automatic face recognition when entering an office or an entrance, recognizing car numbers to open a barrier, garage, etc. Such systems require a minimal hardware base. We are preparing students for the fact that it is necessary not only to build an artificial intelligence system, but to understand what is sufficient to solve a specific range of problems, — explained Mikhail Lavrentyev.
The new educational program is actively supported by partners, including Postgres Professional, YADRO, institutes of the Siberian Branch of the Russian Academy of Sciences, and other companies.
Graduates of the Artificial Intelligence and Data Science program talk about their learning experiences and future plans.
Ilya Stetsky:
— Studying on the program was very interesting and useful. If before admission I thought that neural networks were something narrow, then during the master's program this area was presented more broadly, from different sides, I discovered different areas of AI application. In general, the training was comprehensive and deep. In the future, I plan to work in the field of real-time data stream processing.
Chinese student Aisaiti Baishan:
— I am very glad that I spent these two years in Akademgorodok! Before NSU, I studied at Chongqing University. I decided to enroll here because NSU is very famous in China, everyone knows that it has a high level of education, including in mathematics and IT, and professional teachers. I plan to return home to China and continue my postgraduate studies. I received my diploma and now I want to thank everyone for these two years at the university!
Material prepared by: Varvara Frolkina, NSU press service
Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.
.