Studying in IT

Literature review, comparison, and analysis of existing solutions constitute a significant part of a thesis manuscript.  In the last three years, AI chats have dramatically intervened in the thesis preparation workflow. The ability of AI chats to analyze and compare discourages students from acting as the primary drivers of research and instead encourages their passive reliance on AI-generated content. This situation makes manuscripts eclectic and lacks focus. The theoretical part disconnects from the computational experiments. As a result, the audience is reluctant to read students' manuscripts. Ironically, they use AI chats to summarise the manuscripts to extract their main contributions. We are proud to say that our thesis works do not suffer from this AI distortion. We are grateful to our students, especially our bachelor’s and master’s alumni, who have carefully prepared and successfully defended their theses, producing clear, well-founded, and meaningful results. Our thesis manuscripts are designed for public discussion and rigorous scientific analysis. Each thesis presents a clear research idea grounded in the fundamentals of machine learning. It includes a theoretical justification, a repository with the source code of the computational experiments, and slides. Videos of the pre-defence sessions are uploaded to our YouTube channel “Intelligent Systems”: Bachelors & Masters.

Programmers, sysadmins, DevOps engineers, and testers are often united by the use of some common technologies. For example, the ability to have remote access to a server would be useful to anyone in the aforementioned anecdotal company. Therefore, in this article, we will cover the basics of working with the SSH protocol at a fundamental level (without generating keys, signatures, moms, dads, and credits). We'll look at 'advanced' usage separately next time. This material was prepared by Max, the author of the YouTube channel PyLounge. Let's go!

As we wrap up another year, it's time to look back at what our department has accomplished. 2025 brought us 42 published papers spanning fundamental ML theory, applied AI systems, and cutting-edge optimization methods—from transformer Hessians and generative models to hallucination detection and matrix-oriented optimizers.

Beyond publications, our students won competitions and defended their theses: 14 Bachelor's, 9 Master's, 3 PhD, and 1 DSc dissertations. They also launched ambitious group research projects. Three of our faculty and alumni received the prestigious Yandex ML Prize, and our head Konstantin Vorontsov was inducted into the Hall of Fame. If you read our summer overview of thesis defences or last winter's year-in-review for 2024, this post continues that story with the next chapter.

In this year-in-review, we dive into the research highlights, share stories from our educational programs, and celebrate the community that makes it all possible.

The students of the Intelligent Systems Department successfully defended their bachelor’s and master’s theses. This year, 14 Bachelor’s and 8 Master’s students earned their degrees in Physics, Mathematics, and Computer Sciences. We are proud to say that our Department is unique in publishing the complete set of defense materials during the last ten years. These materials include the text of the dissertation work, the published papers, the code of the computational experiments, and the slides with video of the defense talk.

In this post, we gladly summarize the defended works of our BS and MS students and highlight the results. A recording of their pre-defence presentations can be found here and here in Russian. Most part of the theses has a publicly available English version. 

It’s Never Too Late: My Start into DevOps

Summary

Learn about the challenges, growth, and lessons gained — from juggling work, studies, and a pet project to achieving a dream.

Have you ever struggled to turn business ideas into a product? Or tried to understand the way another team works?

If you have, you know how exhausting it can be. Different ways of thinking –business, analysis, and engineering – don’t always fit together easily.

This article blends a simple story with engineering tools to show how creativity and structure can work together. Using characters like The King, The Troll, and The Prince, it explores how storytelling can help solve tough problems and make complex ideas clearer.

If you’ve ever faced a "troll" at work, this story might help you see things differently – and maybe even make the process a bit more fun.

While video-based learning continues to rank high in the latest trends, there are a few points that are regularly overlooked in the production of learning videos, with a focus on user experience (UX) and user interaction 

People really enjoy watching videos. According to a survey conducted among consumers worldwide, respondents watched an average of 19 hours of online video content per week in 2022. And nearly half of all internet users watch online videos at least once a week.

The Challenge of Mandatory Learning
Once we had several mandatory learning courses designed to be passed successfully by all employees. Still, many of them struggled to do so. Reminder emails to all participants could not solve the issue. And that is when my team was summoned to develop a thorough plan to reduce the number of overdue courses to a minimum. Of course, we were asked to develop something fun and engaging.

Uncovering the Root Problems
While working on the project, we managed to uncover several problems with course assignments, including the fact that they were not offered just in time, there were too many of them, and all of them had different due dates, which made it impossible to remember when to complete them. Additionally, we found that the content itself was often dry and unengaging, further contributing to the lack of motivation among employees. Finally, we came up with a system of notifications that included clear explanatory reminder emails, an escalation system, and a redesign of the course content to make it more interactive and relevant to employees' daily work. The result was almost no overdue courses after system integration.

The Myth of Mandatory Fun
So the case first seemed to be about motivation and engagement, but it is actually about smart course design that allows people to worry about work tasks instead of worrying about course assignments. It's also about creating content that resonates with the learners and helps them see the value in the training.

The team developing a set of portable SystemVerilog examples decided to organize the first event in Silicon Valley on Sunday, January 14 from 2PM till 5PM at Hacker Dojo in Mountain View, CA. If the first event is successful we are going to make it recurrent. You can register for the event on Meetup or LinkedIn.

The current directions of the group:

Hello, my reading friends!

My previous post (rus) on Habr was about how the Business Continuity Management function started, as well as about its relations with other corporate functions. In fact, it was quite theoretical.

This time, I’d like to tell you about some practical vectors of procedures and tools implementation as regards to Business Continuity Management, or BCM, along with Operational Resilience, or OpRes. Plus some real initiatives that can follow the BCM & OpRes implementation in a company and the associated with it investigation of the corporate landscape and procedures.

Recently, The BCI, one of the leading institutes working in the field of organizational resilience and business continuity, issued its regular report BCI Operational Resilience Report 2023 in collaboration with Riskonnect, who work with risk management solutions.

One of the questions they asked the respondents was if there was a difference between organizational resilience and operational resilience. As the answers demonstrated, for most respondents (and in most companies) these terms were used as synonyms. Having studied the report, the colleagues brought up another matter – The BCI introduced the new term of "organizational resilience" in addition to "business continuity" and "operational resilience".

If we search Habr for "Business Continuity", "DRP", "BCP", or "BIA", we’ll find quite enough posts by my colleagues (I’ve met some of them face to face and worked with the others) about data system recovery, data system testing, fault-tolerant infrastructure, and some other things. Yet, hardly any of them explain where all of it has come from, how it is changing, where it is heading – and why.

I thought the time has come to change the situation for the better and answer some of the questions like where business continuity provisions and operational resilience has come from, how they are changing, and where this trend is heading and why. To share my thoughts about development of the industry and its current de-facto state in case of a mature (or not too mature) introduction level – some things I’ve stated for my own use.

Programming textbooks usually do not indulge us with variety of examples. In most manuals, exercises are similar to each other and not particularly interesting: create another address book, draw a circle using turtle, develop a website for a store selling some kind of "necessary" advertising nonsense. Too far from the authentic imitation of "The Matrix". Although…

How about taking over the control and starting to invent exercises yourself?

Would you like to write your own personal little "Matrix"? Of course, not the one with skyscrapers, stylish phones of the time, and the ubiquitous invincible Agent Smiths. We will need a couple of more months of learning for that. But any beginner programmer can write a model of the cult splash screensaver with the green streams of digits flowing down the screen. Let's try to creat it in the "great and mighty" Python.

Games can give positive emotions and provide relaxation to a person. However, the main purpose of my project is to get a better understanding of the Verilog language. In addition, coding a game into FPGA will help to define the bounds of this programming language.

This is a set of chapters for young engineers. We give practical advice and discuss goals, challenges and approaches used in modern software engineering.

Along with classical foundations this article contains original ideas of conceptualizing engineer's work with emphasis on bringing order to the situation and finding an insight. Engineering is approached as work in uncertainty with other people which requires special skills. Non-obvious complications regarding modern production in big companies are discussed.

This article is based on 15 years of experience in engineering and management in high-tech industries.

Demid Efremov and Ivan Kornienko.

Music box on Verilog HDL for Cyclone IV.

It may seem that when you are a beginner, you'll do simple things only. No need to learn data structures and algorithms. No need to understand Big O notation, complexity and stuff like that. 

This couldn't be further away from the truth!

In 2008, when I just started learning to program, I spent a lot of time reading books on PHP and MySQL. Months later, when I felt confident, I took my first freelance project. It was a real estate website. A simple one. I used a custom-made ORM and everything worked just fine!

When I released it, the search feature quickly became sluggish and made the website unusable. 

I was wondering what the heck had happened. I figured out that database queries became very slow when there were over 200 real estate objects added to it. 

This is it. What worked fine during testing did not work in real life.

I was a self-taught developer. I did not know how to measure if my project scaled well. I didn't even know that I had to do it.

I thought algorithms mattered only for launching a spaceship.

If I had some basic understanding of algorithms, I would have known that the more the input, the longer it takes. 

I am not saying I would have come up with a robust solution as a junior, but I would have looked for a solution because I knew there would be a problem. 

Please, don't make the same mistake!

Of course, data structures and algorithms are much more than that and they apply differently depending on what you work on.

But a basic understanding of data structures and algorithms is a must for every software developer. 

There are many situations when you need to protect your data, and different tools can be used to do that. For example, a safe. We develop a passcode data protection mechanism by using an FPGA board and Quartus Prime software. It allows demonstrating the basic concepts of a combination lock such as entering data, setting and checking a passcode, and displaying data.

Many of us grew up reading a classic, that was a staple of many home libraries. However, it doesn’t seem to be as prominent as it once was. To understand the ongoing shift in tech coverage, we need to explore its roots.