Annie Morin- Associate Professor IRISA-Université de Rennes 1 Rennes cedex 35042 Phone: +33 (0)2 99 84 72 22 |
Research Interests
·
Master degree in
Computer Science and Operational Research ,
Dissertation
: Analyse des séries de données à valeurs non numériques
·
Ph D. in mathematics,
option statistics from the university of
Dissertation
: Recherche d'une métrique optimale en analyse de données: application en
lexicométrie
·
Doctorat es sciences
en mathématiques, university of Rennes 1, 1989
Dissertation : Arbres pour données
multinomiales
From october 1973 to now : Associate Professor at IFSIC( Institut de
Formation en Informatique et Communication) and statistician
at IRISA (Institut de Recherche en Informatique et
Systèmes Aléatoires), university of Rennes
1
except
I
am an applied statistician and most of the research problems I deal with, have
their origin in real data problems. I started working in an institute of
research in agronomy as a young student in 1972 and in 1973,
I got a position of lecturer then of associate professor at the university. The
first years, I kept on doing my research in the agronomy field. After my return
from
More recently, I started working on text mining : how
to process the information which is contained in texts, how to perform
information retrieval in bibliographical bases or on the web? I keep on
using factorial analysis mainly factorial correspondence analysis with some
success. In my research project, we work on efficient exploitation of
multimedia documents that is exploration ,
indexing and access to very large databases.
I organized a school on databases and statistics for researchers and coorganized an international conference on textual data
analysis.
I am also consultant and have some contracts in applied statistics with
different clients : medical doctors, computer
science companies …
Ouvrages
I
mainly teach statistics and data analysis but I
have a double competency in mathematics and computer science, and
therefore it happens that I also teach applied mathematics or programming
languages.
Undergraduate students :
First year of university (students in physics and mathematics) : symbolic
computation, Mathematica (30h)
Second year of university (student in management and computer sciences) :
· Mathematics : analysis,
linear algebra, (44hours)
· Probability and
statistics , applications with SAS ( 36h)
Graduate students :
· In mathematics : I
teach data analysis : principal component analysis, correspondence analysis, multiple
correspondence analysis, discriminant analysis,
segmentation, classification and clustering (40hours). We use the software SPAD
for the applications
· In electronics, I teach
experimental designs (12 hours) , statistical process control (20 hours) and
reliability theory (12hours)
Permanent education :
· For engineers :
statistics and data analysis, operational research (40 hours)
· For researchers and Ph D
students : data mining (6 hours)
· For mathematics
(secondary school) teachers : introduction to statistics (multiple
sessions)
Miscellaneous :
· Classification course in
· Idams software course in
· Exploratory data
analysis courses in
Distance learning projects:
1. With the CNED (centre
national d’enseignement à distance),
realisation of a basic statistics course devoted to people working in quality
control.
2. Course of statistics on
line using IDAMS software, ITAG, Unesco,
3 Descriptive statistics for the Agricultural office of Morbihan (Chambre d'Agriculture du Morbihan)
4. Course
of data mining for the project e-miage.
Publications linked to teaching:
1 L'enseignement de la statistique en
2 Introducing data
analysis in the schools~: the situation in
2.
Statistique et probabilité pour le citoyen de
demain. Présenté à Québec/ICME., august 1992
3.
Evaluation au lycée: devoir classique ou QCM
présenté au Colloque international sur les questionnements automatisables. ESIEE, Marne-la-Vallée., march 1992
4.
Beyond control charts, the use of graphical methods in training
statistics. August 1991, 48th meeting ISI,
6.
Elaboration de QCM, Publication de l'IREM de
Rennes, auteurs M. Charpentier, J. Chever, E. Douvier,
A. Larher, F. Le Corre, A. Morin, M.T. Sachet
septembre 1998, 130 pages,
7.
Discussion on Professor Yue Wei 's invited paper "On some issues of the reform
in statistical education in
8.
Statistical education in
9.
Evaluation au lycée Devoir classique
et/ou QCM, Publication de l'IREM de Rennes , avril
1995.
10.
Organisation et gestion des données au
collège. Pub IREM Rennes 1991
11.
Teaching Statistics at the secondary school level in