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Yevgeny Gayev
National aviation university
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Activities (2)
Information Theory by own student' discoveries with MATLAB part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop October 2021:Activities
I present my recent textbook "Information Theory Processes by own student' discoveries with MATLAB and Java" (in Ukrainian) and my educational course associated with it.
Scientific and Educational works part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2020:Activities
Own scientific work; "Easy programming" educational course for beginners (MATLAB); Mathematics as an experimental science with MATLAB; Learning some disciplines by "Method of own student' ...
Essays (3)
From MATLAB' "Easy Programming" to student' Own Discoveries part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2020:Essays
This webpage is an essay from the 2020 MATLAB Workshop hosted by SERC, detailing an educational approach that leverages MATLAB's "easy programming" capabilities to foster student-driven discovery in engineering and mathematics, emphasizing active learning through computational modeling and simulation across disciplines like information theory and complex systems.
MATLAB' "easy programming" for discipline "Information Processes and Coding" part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2019:Essays
This essay page from the 2019 Teaching Computation with MATLAB workshop details an educational approach using MATLAB to enable student-driven discovery in the "Information Processes and Coding" course, emphasizing active learning through programming tasks like Morse coding, entropy measurement, and error-correcting code simulations.
MATLAB is an "easy programming" tool to each engineering discipline part of Teaching Computation with MATLAB:Past Workshops:MATLAB Workshop 2019:Essays
This webpage is an essay from the 2019 MATLAB Workshop hosted by SERC, detailing how MATLAB serves as an accessible programming tool for engineering education, emphasizing active learning, student-driven discovery, and computational thinking across disciplines like physics and mathematics, with practical applications and published student work.