Teaching & Curriculum
Bridging Complex Science with Practical Skills
As former Associate Professor at Tashkent State Dental Institute and Physics Lecturer at Turin Polytechnic University in Tashkent, I developed innovative curriculum that makes advanced computational concepts accessible to medical students. These courses represent years of pedagogical refinement, combining rigorous academic content with hands-on practical applications.
Statistics using Excel, a data type based approach
Data analysis fundamentals using Excel with categorical, ordered, and numerical data types. Covers probability distributions, hypothesis testing, correlation, and regression using real medical datasets including birth weight studies and breast cancer data.
Introduction to Bioinformatics
Computational analysis of biological data using R programming. Students learn DNA sequence analysis, GC content calculation, codon frequency analysis, gene finding algorithms, and protein sequence comparison through hands-on FASTA file processing.
Medical and biological physics
Physics principles applied to biological systems and medical technology. Covers biomechanics, biorheology, thermodynamics, sound/ultrasound, electrodynamics (ECG), and optics (lasers, X-rays). Extensive laboratory work with medical equipment and measurements.
Teaching Philosophy
Every course emphasizes practical application over theoretical memorization. Students learn by working with real medical datasets, using industry-standard tools, and solving authentic problems they'll encounter in their careers.