Yassine Mhiri

Teaching

Teaching at the Electrical Engineering and Industrial Computing department (GEII) of IUT d’Annecy at Bachelor level.

Introduction to Fourier Analysis

Undergraduate, 2nd year · Semester 3 · Module OML3 · 3 chapters, 7 tutorials, 6 Python labs

Topics: periodic signals and mean values · Fourier series · Fourier transform · Dirac impulse, Dirac comb and convolution · autocorrelation · discrete-time signals, discrete Fourier transform and frequency resolution.

Advanced Electronics and Sampling Theory

Undergraduate, 2nd year · Semester 3 · Module Électronique S3 · 3 chapters, 6 tutorials, 3 four-hour bench labs

Topics: common and differential modes, CMRR · differential amplifier and three-op-amp instrumentation amplifier · ideal, natural and real sampling, Shannon theorem and aliasing · sample-and-hold, zero-order hold and smoothing filter · truncation, weighting windows and spectral leakage · quantization, flash ADC, weighted-resistor DAC.

Introduction to Probability and Statistics

Undergraduate, 2nd year · Semester 4 · Module OML4 · 5 chapters, 5 tutorials, 5 Python labs

Topics: descriptive statistics, histograms and box plots · probability, random variables, expectation and variance · binomial, Poisson, exponential and normal laws · law of large numbers and central limit theorem · estimators, bias–variance decomposition · confidence intervals.