At the university-wide "Digital Education" department, a graduation demonstration exam was held for three additional professional retraining programs (DPP) for MSUPE students - participants of the 2024 intake:

"Software Development Tools for Solving Problems in Psychology and Education" (SPRdRZPO)

"Artificial Intelligence in Psychology and Education" (IIvPO)

"Solving Applied Problems in Neuroscience and Robotics Using Python" (RPZNIRSPython)

This graduating cohort includes 640 students from ten MSUPE faculties, studying in non-IT specialties, who will receive professional retraining diplomas with the new qualification of "Programmer" in the field of education.

The examination committees included:

Smirnova E.V., Doctor of Technical Sciences, Associate Professor, Professor at Bauman Moscow State Technical University (Chair of the SPRdRZPO DPP EC);

Sudakov V.A., Doctor of Technical Sciences, Leading Researcher at the Keldysh Institute of Applied Mathematics RAS (Chair of the IIvPO DPP EC);

Zhuravlyova L.V., Candidate of Technical Sciences, Associate Professor at the Faculty of Informatics and Control Systems, Bauman Moscow State Technical University (Chair of the RPZNIRSPython DPP EC);

Sorokova M.G., Doctor of Pedagogical Sciences, Head of the "Digital Education" Department;

Alexeychuk A.S., Candidate of Physical and Mathematical Sciences, Associate Professor at the "Digital Education" Department;

Vysotsky V.B., Candidate of Psychological Sciences, Associate Professor, Career Counseling Methodologist at the Testing and Development Center "Humanitarian Technologies" LLC;

Dyatlova P.A., Candidate of Technical Sciences, Community Manager at the Association of Technology Circles Participants.

The demonstration exam took the form of defending group or individual projects developed by DPP students. Projects presented at the final certification demonstrated high proficiency in digital competencies, including:

• Mastering Python programming
• Quantitative data analysis in SPSS statistical package
• Developing educational tests
• Robot programming using Python
• Creating Telegram bots for psychologist-client mood monitoring

Using Python tools with applications allowed participants to build mathematical models employing machine learning and neural network methods - cluster analysis, multiple linear and nonlinear regression, logistic regression, decision tree algorithms and ROC curves.

Project preparation utilized:

• Data collected through the "BiTronics LAB" digital laboratory at MSUPE Technopark
• Digital platform "Talent" and gaming platform "Berloga" data
• Research databases from the RusPsyDATA Psychological Research and Tools Repository

The MSUPE MEG Center developed particularly interesting cases for DPP participants using magnetoencephalograph data, such as:

• "Statistical Comparison of Root Mean Square (RMS) Values of Induced Magnetic Fields on MEG Sensors"
• "Basics of Working with numpy and matplotlib. Analysis of MEG Data in VEP (Visual Evoked Potential) Paradigm"
• The examination committees particularly commended projects by the following student teams:
• Ananyeva D.A., Zharkova A.D., Uvarova A.D.
• Rybalko M.A., Kushnareva O.A.
• Ryabukha T.V., Tereshchenko U.V., Pletmintseva I.A., Dmitricheva N.E., Mkhitaryan M.V.
• Vavilina E.S., Ovechko S.B., Moreva A.S., Ksenofontov D.O.
• Kozlova A.A., Islamova A.N., Osadchenko M.N., Nosachevskaya M.V., Ratkova N.A., Nazirov U.B.
• Tatarenko E.K., Pluzhnik A.S., Vakhovskaya T.M., Kalinina I.I.

We congratulate the graduates on successful completion of their studies and wish them to become professional and in-demand specialists in the job market!