Face-to-face , first term, 30 hours of theory and 15 hours of exercises.

First term
Tuesday from 13:30 to 15:30 at 43 Botanique 3

The course is given in French. English reading may be necessary.

For each statistical method seen during the course, students are expected to :
- Master the conditions of statistical analysis (eg. Regarding inference)
- Understand the operations, uses and pertinence of bi and multivariate techniques
- Be able to produce, through SPSS software statistical outputs and be able to interpret them, with a accurate use of statistical vocabulary
- Demonstrate ability to understand and deal with apprentice-researcher responsibility at every stage of statistical analysis

For the Bachelor in Information and Communication :

For the Bachelor in Political Sciences: General :

For the Bachelor in Sociology and Anthropology :

None

Lessons Content
1 Introduction and continuity with statistical course
2 Sampling and inference
3 Significance tests
4 Bivariate analysis 1 : contingence tables
5 Bivariate analysis 2 : correlation and linear regression
6 Bivariate analysis 3 : T-tests
7 Bivariate analysis 4 : Variance analysis
8 Bivariate analysis 5 : logistic regression
9 Multivariate analysis 1 : Principal component analysis I
10 Multivariate analysis 2 : PCA II & Confirmatory factor analysis
11 Multivariate analysis 3 : classification analysis
12 (Multivariate analysis 4 : loglinear analysis)
13 Q-A

The course will be taught ex-cathedra 2h/week and will provide the theoretical elements needed to meet the learning outcomes : understanding ingredients for the analysis, mastery of the conditions of uses of methods and, above all, interpretations of results. The course will be as participatory as possible.
The practical exercises (TP) will mainly allow :
- The assessment of the mastery of theoretical elements studied during the course
- The practice of various methods through the SPSS software
- Exercises of interpretation on various outputs.
They will require active commitment and participations from the students. They will also be the opportunity for the students to ask the question they may have about the course, and to prepare the building of the deliverable (cf. below).

Students will be assessed 1) through a deliverable that will be a group assignement - instructions will be given during the first lesson and made available on Moodle (1/3 of the points) 2) through an 2-hours-examination at the end of the term (2/3 of the points).

Will be made available during the course.
All slides and other material available on Moodle.

At the university level, it is up to the students to decide wether they attend to the lessons or not. Teacher and assistants of course recommend a maximal attendance at both lessons and TPs. Except in the event of force majeure, non-attendance and its potential consequence are the student's sole responsibility.
In the same way, students are free to organize their time during the academic year. Once again, we recommend a continuous assessment of the course comprehension AS WELL AS a continuous commitment in the deliverable.
Students who decide no to follow those instructions and who would unfortunately fail at the January examination round should be aware that no catching-up session will be organized in the second term, nor in ex-cathedra teaching, nor in informal meetings with teaching assistants. The course content, about which the students were allowed to ask questions during the first term will be considered as seen and understood.
Students who failed in January will of course be given the opportunity to get explanation about their deliverable and examination, but it is their sole responsibility to bring the needed improvement at June or August sessions.