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.

Medical Applications Interactive Learning Real-world Data

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.

Excel-based statistical analysis with healthcare applications

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.

R programming with genomic data analysis

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.

Laboratory experiments with medical devices 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.