Angelina El Ghaziri

Associate Professor

Department of statistics and computer science

Research unit: Research Institute of Horticulture and Seeds


Teaching

Current courses

Descriptive statistics 

  • L1: initiation to R and descriptive statistics. 

Linear models  

  • L2: analysis of variance (one factor), simple linear regression.
  • L3: analysis of variance (two factors with interaction), multiple linear regression.

Experimental designs  

  • M1 (Horticulture): completely randomized design, randomized complete block design, Latin square design, fractional factorial design. split-plot design.
  • M1 (vegetal biology): completely randomized design, randomized complete block design, Latin square design.

Sampling designs

  • M1: introduction to sampling designs and data treatment with factorial analysis such as correspondence analysis and multiple correspondence analysis.

Temporal data analysis:

  • M1: Repeated Measures Analysis and Time Series

Multidimensional data analysis:

  • M1: Classification and Linear Discriminant Analysis

Statistics for transcriptomic data analysis  

  • M2 BV (vegetal biology): introduction to RNA seq data analysis and analysis with R.

Past courses

Multidimensional data analysis (University of Nantes, France)

  • Master 1 mathematics and application, optimization in operational research (ORO): principal component analysis (PCA) and classification (CAH, K-means). 
  • Master 1 bioinformatics: introduction to multidimensional exploratory analysis, PCA, CAH, K-means.
  • System of geographical information (SIG) and spatial data modelling (University of Nantes, France).
  • Master 2 CER (cartography of areas at risk):  introduction to cartography with R.
  • Mathematics  (University of Nantes, France).
  • L1 PCGSi (physics, chemistry, geo-sciences, science for engineer): real and complex numbers, study of functions, linear equations and integration. 
  • Probability (University of Nantes, France).
  • L2 Math-Eco:  discrete probabilities (Counting, conditioning and independences, discrete random variables, expectation and variance).
  • Descriptive and inferential statistics. 
  • Second year engineer:  generic methods for an engineer and application with R (Ecole des Mines Nantes).
  • Second- and third-year engineer:  probability, descriptive statistics, linear regression, comparison of means and Chi2 test (ESB Nantes, France).

Research

  • data reduction techniques
  • active learning
  • construction of sampling designs 
  • construction of experimental designs
  • parameter estimation

I contributed to various research areas, including data reduction techniques, outlier detection, sampling design construction, and parameter estimation. I also developed expertise in experimental design through teaching and assisting researchers with constructing their own designs. I have worked with various types of data, including sensometrics, chemometrics, genomics, surveys, RGB images, and chlorophyll fluorescence imaging.

Publications

https://cv.hal.science/angelina-el-ghaziri

About me 

Main diplomas:    

2016: StatSC (Statistics, Sensometry, Chemometrics) unit at ONIRIS-Géraudière
PhD in applied statistics (20 october 2016)- relation between datasets: exploration and prediction.
PhD director: El Mostafa Qannari
2013: University of Nantes
Master 2 degree in mathematics, statistics, and probability