*Digital Alley
Mathematical and Computer Modelling Laboratory
The Mathematical and Computer Modeling Laboratory (room 302) is a modern educational and research space on Esil University's "Digital Alley". It is an innovation hub where fundamental mathematics meets cutting-edge IT, and complex formulas and algorithms turn into real digital solutions. The laboratory trains analysts, programmers, and data specialists capable of solving complex problems in business, economics, and science.
302Classroom on the "Digital Alley"
IT Coworking SpaceSpace organization standard
named after S.A. AbdymanapovNamed after a mathematician
*A tribute of respect
Named after Sarsengali Abdygalievich Abdymanapov
01
Distinguished scholar
A renowned Kazakhstani scholar, Doctor of Pedagogical Sciences, Professor of Mathematics.
02
Contribution to education
Years of dedicated work and an outstanding contribution to the development of the national higher education system.
03
Source of Inspiration
Dedication to the exact sciences serves as a guiding light for new generations of students and researchers.
*Areas
Key areas of the laboratory's work
01Modeling and data
Computer simulationsBuilding digital twins and modeling complex economic, financial, and business processes.
Data Science and Machine LearningDevelopment of predictive algorithms, working with Big Data and artificial intelligence.
02Solutions and projects
Mathematical optimizationQuantitative methods for risk forecasting and supporting strategic decisions under uncertainty.
Project activitiesStudent startups, term papers, theses and student research projects at the intersection of mathematics and programming.
*Facilities
Equipment and Capabilities
WorkstationsHigh-performance workstations built to modern IT co-working standards.
Interactive equipmentRoom 302 is equipped with interactive equipment for practical work and presentations.
Specialized softwarePython, R, MATLAB, simulation modeling environments, and SQL databases.
Big Data and Neural NetworksProcessing large volumes of data and training resource-intensive neural networks right on campus.
*Who it is for
Who the laboratory is for
ClassroomIT students, economists and finance specialists.
Work formatsPractical classes, hackathons, and workshops.
Development environmentAn environment for analytical thinking, teamwork and generating new digital ideas.
*2026/27 admissions