Distance learning. New horizons: online defence of the essays

21 April 2020

Distance learning provides new opportunities for students and teachers. This time we gained the experience of presentations and defending student essays online.

Third-year students defended group essays in the module “Systems of intelligent processing of natural-language information.” The idea behind this activity is as follows. Students formed teams of 2-4 people on their own. Since the module is elective, the team may include students from different academic groups. Each team chose a topic for the essay based on their preference. The problem can be selected either from the proposed list or some other relevant to the course subject.

The team member in charge of leadership has a responsibility of representing the work overall. Here is the scenario of team presentations. One team’s member showed up the slides for a public. Every student spoke in turn. The first student makes an introduction, including a history of the theme and the current state of the problem. The next one makes a detailed analysis of the problem and suggests well-known methods for solving it. The last one concludes, speaks about the obstacles that exist in this area of Natural Language Processing and some promising approaches to solving the problem at hand. Thus, everyone feels responsible for the material presented as a whole and for their part.

Postgraduate first-year students defended their essays in the module “Ontological Engineering.” It was an individual task. Each student chose a topic from the list or offered their own. Since almost all of them already work for IT companies, they approached to work professionally and did an excellent job.

Thus, students gained new experience of online defending their work, which will undoubtedly be useful in the formation of their competencies as IT specialists. The ability to represent and uphold the results of research, to seek and analyze new tasks that require a creative approach, new software tools, methods and algorithms is vital. The results showed that students welcome new challenges and are ready to tackle challenging but exciting tasks.

We wish our students success and health!

Distance Learning. New Challenges: How To Exam Online

15 April 2020

We continue to expand our knowledge and improve distance learning skills. Now we have gained new experience – how to conduct an exam online. Discipline “Methods and Systems of Artificial Intelligence” exam for the ITCSz-17-1 group is passed today. There is the topic “Exam” with the section “Tasks” in the module of this course. Each student has a folder in the section for publishing their answers.
The teacher and students met at a video conference at the Google Hangouts Meet at the beginning of the exam. It is an online form of authentification confirmation. On the next stage, students sent a request letter to the teacher from their address at @nure.ua domain, in response, they received a pdf file with the personalised exams tasks. On the next two hours, students had to write answers on questions from their exams cards. Each student had to shot their written response, to create a pdf file and to send it to the course page, placing it under the “Exam” task section, into the folder with their last name.
Next two hours, the teacher was checking and marking received answers. Then everybody gathered again for a videoconference, where teacher voiced her assessment in mark points for each student. The grade depended not only on how well the answer was provided but also on the students’ work through the semester and the labs’ tasks results. As a rule, part-time students work very hard and practically they have not enough time for studying. However, they are distinguished by their motivation, purposefulness and maturity of thinking, tend to learn new knowledge, often learn late in the night. Interestingly, in the context of a strict deadline for the delivery of labs’ reports, many students sent their assignments late at night, as they sought to increase the rating score even before the exam. The exam showed that our part-time students were well done. Although the results are different, they, like us, have gained new experience in working for the result under conditions of severe time constraints for online learning.
I would also like to note the explicit and well-thought-out work of the Scientific and Training Centre for Part-Time Education (STCPTE). They sent an electronic examination sheet and instructions for filling it out. It was appreciated.

We wish our students, teachers and staff good health and tremendous success!
P.S. Replica of the examiner: this exam was a real challenge for the teacher. Ten minutes before the exam begins, at 9:20, I lost the Internet connection. I tried everything. Nothing helped, then I called the provider, “Triolan.” The operator replied: “Repair work is being carried out at your address, the expected completion is 12-00.” I answered: “Gosh, My online-exam breaks down!!!”. The Internet worked again in five minutes. Such surprises happen in distance learning.

Distance Learning Continuation. Now it is Undergraduate practice online

13 April 2020

Everyone has already mastered teaching and studying online. But now we have a new challenge – how to do an undergraduate practice online!

We created the module “Undergraduate practice at the AI department” on the MOODLE platform (dl.nure.ua). For each of three teachers, the practice supervisors, we made a separate Consulting Point with access to video conferences via Google Hangouts Meet, where the teacher are presented every day according to the schedule attached to the module for counseling students.

We assigned the own group for each teacher. In addition, students need to be self-registered in the attendance section every day.Interestingly, the meeting was scheduled for 9-30 on the first day the practice. Almost all students attended! We exchanged impressions about distance learning, discussed what and how students will do in practice, requirements for reports and future diplomas, set a date for the next

Distance Learning

12 April 2020

In the context of a nationwide quarantine, the educational process at the Department of AI continues remotely. Teachers of the department use various platforms and tools for distance learning.
The classes are continuing using the Moodle course management system, Google Classroom, Hangouts Meet …
During the quarantine, the department created more than 40 distance learning courses.
Wishing to all of us health and success in teachers’ hard work!

Continuation of the International Program of EVV – European Virtual Venture

11 March 2020

On March the 4th, French-Ukrainian students virtual programme “European Virtual Venture” for the academic year 2019-2020 successfully started. Well-prepared and highly motivated students of AI Department are traditionally selected to represent Kharkiv National University of Radioelectronics in the programme. From the French side it is the Higher School of Engineering (ECAM-EPMI Graduate School of Engineering) from Cergy that take part in the programme.

A course of the joint trainings on business development (ICT startups creation) for Ukrainian and French students are held in the virtual environment by means of video conferencing and e-learning management. For two months the students will develop business plans and learn how to launch international startups based on innovative ideas in the fields of Artificial Intelligence, IoT, Industry 4.0, etc. A team of French and Ukrainian academic and industrial experts will guide them through the process.

The first video-session was brightened by the participation of Dr. Mariia Gavriushenko from Finnish University of Jyväskylä, a successful project manager, who paid a visit to her first alma-mater. As a NURE student Mariia was once also a member of the EVV programme and can witness its positive influence on the students` professional and personal development. Mariia made a brief presentation about her EVV experience, study and life in Finland and wished everyone to succeed in the project development.

Mariia Gavriushenko graduated from the AI Department of NURE in 2011, won the competitive selection for admission to the master programme of University of Jyväskylä, then continued her studies as a PhD student, in 2017 successfully defended her PhD-thesis under the supervision of Dr. Olexii Khrienko. Now she works as a project manager and a researcher in the COLD-project in the field of AI in University of Jyväskylä.

 

Congratulations!!!

7 March 2020

Greetings to the student of the AI KNURE department, Ruban Egor – swimming competitions winner among universities, which took place in Kharkiv!

We wish inspiration and new victories !!!

 

How to have admission on Master’s Degree Program in Germany?

6 March 2020

How to have admission on Master’s Degree Program in Germany? A graduate of AI Department, and now, undergraduate student of Technical University of Munich, shares her experience

It is always pleasant when our graduates come to visit AI department, tell us about newest IT technologies, where and how they work or continue their studies at the magistracy at European universities. This time one of our best former students, Anya Makarevich, came to us (in almost all subjects she had the highest mark “A” − 100 points). After graduating from the bachelor’s program, Anya submitted documents for admission to the magistracy to several European universities and everywhere passed a competitive selection. However, she chose the Technical University of Munich (TUM) and get admission to master’s program “Data Engineering & Analytics”. TUM is one of the most prestigious universities in Germany. Studying there is free, in addition, Anya received a DAAD (German Academic Exchange Service) scholarship by submitting all the necessary documents and successfully passing an interview with German professors.

Anya told our students in detail about her experience in submitting documents to the TUM University Master’s program, about what pitfalls can be encountered in the process of preparing and submitting documents, how it is possible and realistic to receive a DAAD scholarship. And, of course, everyone was interested to listen about how the educational process is organized in the master’s program in Germany, what disciplines are studied in the framework of the master’s program, how practical classes are held, where and how students live. Anya willingly answered all the questions and said that she really wants to help our students in submitting documents for study at the master’s program of German universities. The meeting was productive and interesting, in  informal setting. In parting, Anya received a branded T-shirt NURE as a gift.

RICAS – Realtime intelligence crime analytics system

5 March 2020

RICAS is the unique intelligent system of criminal data analysis, which brings together in one view-space the most advanced techniques and methods of criminal analysis and analytical research in real-time, which can significantly improve the efficiency and effectiveness of crime detection in hot pursuit and previously unsolved crimes.

crime pattern analysis;
• general profile analysis;
• case analysis;
• comparative analysis;
• offender group analysis;
• specific profile analysis;
• the intelligence investigation analysis.

RICAS – Realtime intelligence crime analytics system  https://ricas.org/uk/

Presentation of the Diploma to Associate Professor of the AI Department Golovyanko M.V.

4 March 2020

On the March  the 4th, the head of Artificial Intelligence Department professor Filatov V.A. on behalf of the University’s leadership awarded the Diploma for the victory in the competition  “The Best Scientific and Pedagogical Worker of NURE-2019” to Associate Professor of AI Department Golovyanko M.V.

Maria Valentinovna recently returned from a long business trip abroad related to work in the International Project No. G5511 “Cybersecurity for Intelligent Systems”, as part of the NATO Science for Peace and Security  Programme (SPS). In this project M.V. Golovyanko represents the Artificial Intelligence Department of NURE.

Our congratulations to Maria Valentinovna and wishes  further creative success!

 

TCSET-2020 (Part 2)

2 March 2020

Greetings to Vadim Shergin, Associate professor, PhD (AI Department) successfully participated in the conference “TCSET-2020” with topic “Statistical Properties of the Hurst Exponent Estimates for Fractional Levy Motion. (by Associate professor, PhD, Vadim Shergin, Associate professor, PhD, Larysa Chala and Professor, Doctor of Science, Serhii Udovenko)