The student obtains elements of applied probability theory, including Bayes formula, discrete and continuous random variables and elements of statistical inference, including estimation, hypothesis testing and simple regression analysis. They can use Excel to perform related computations.
----------------- Mode A -----------------
For those who can attend and prepare continuously, through intermediate tests and a group case study.
I) Intermediate tests.
- A self-assessment test to be carried out independently with the help of Excel.
- Two computerized intermediate tests that require the use of Excel. The intermediate tests are passed with an average of at least 18/30. The weights of each question within a test are initially equal, as the intermediate tests have the same weight. It is possible to recover the test evaluated with the lowest score during the ordinary session;
II) Case study on regression.
Development in a group and presentation of a case study on the topic of linear regression applied to a data set provided by the teachers. The paper that illustrates the developed case study and the Excel sheet with the computations must be delivered well before the exam. More details will be provided by December.
III) Presentation and discussion of the case study.
Group presentation in front of the class and discussion on contents, results and methodologies used. Each group member must also answer a theoretical question, valid for the oral exam, concerning the methods used in the case study. In case of an insufficient theoretical question, the student must take the oral exam, see point IV). All students participate in the discussion of the other groups and intervene with questions.
IV) Oral exam Those who do not present the group work referred to in modality III) sustain a final oral exam focusing on the theoretical contents and the paper developed in the group.
V) Groups. To carry out the above case study, students aggregate into groups of four people. The case study is uploaded by a representative designated by the group following the procedures indicated in the e-learning page's specific section. VI) Final grade. After I) and IV) are passed, the final grade is obtained as a weighted average between the grade of the intermediate tests referred to in point I) and that of the oral exam referred to in points III) or IV).
The weights are as follows:
- 40% for the two intermediate tests
- 30% for the report
- 30% for the oral exam
----------------- Mode B -----------------
In ordinary exam sessions, a single computerized test and an oral exam are passed in the same appeal. The required preparation includes the ability to do statistical computations using Excel and to show a theoretical understanding. The oral exam discusses the course's methods and evaluates the understanding of language, formalism and concepts at a descriptive and interpretative level. A non-exhaustive list of possible questions is available as an example on the e-learning page.
