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