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.
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
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!
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.
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 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.
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!
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)
Olexii Shatalov, student of the third year of study (AI Department) successfully participated in the conference “TCSET-2020” with topic “Formal and Logic Models of Knowledge and the Procedure for Logical Inference in the Problems of Recognition of Radio-emitting Objects and their States“.