Statistique: approfondissement

  • Teaching

    Details

    Faculty Faculty of Management, Economics and Social Sciences
    Domain Business Informatics
    Code UE-ESE.00029
    Languages French
    Type of lesson Lecture
    Level Bachelor
    Semester SS-2025

    Schedules and rooms

    Summary schedule Wednesday 08:15 - 11:00, Hebdomadaire, PER 21, Room G230 (Spring semester)
    Hours per week
    		3

    Teaching

    Responsibles
    • Donzé Laurent
    Teachers
    • Donzé Laurent
    Assistants
    • Rosset Julien
    Description

    This course is the third part of an education program in Statistics. It is based on the introductory courses to Statistics of the first two semesters. The content and the difficulty degree of this introductory course match with the actual international level.

    The course is a formal introduction to Inferential Statistics:

    1. Probability (Concepts and definitions; conditional probability and independence)
    2. Random variables and distribution functions (Random variables; random vectors; independence; function of a random variable)
    3. Moments, correlation, conditional expectations (Mathematical expectation and variance; moments; covariance and correlation; expectation, variance, and covariance of random vectors; mean and absolute squared errors and prediction; conditional expectations)
    4. Theoretical distributions (Discrete distributions; continuous distributions; approximation of distributions; multivariate distributions; continuity correction)
    5. Random samples and limit theorems (Random samples; limit theorems)
    6. Point estimation (Estimator; maximum likelihood method; estimation by interval)
    7. Statistical inference (Hypotheses and statistical tests; power function and types of error; test on the mean: the t-test)

    The theoretical concepts are illustrated by examples, and numerous exercises are provided on the Moodle's platform related to the course

    Moodle
    Training objectives

    The course aims to give students the background to follow without problem an introductory course in Econometrics as well as Master courses in Econometrics and Statistics. The course will be undoubtedly useful to the understanding of other advanced courses supplied by the Faculty.
    Condition of access

    Registered students at the University with a Federal maturity or an equivalent diploma.
    Comments

    Only students who will have validated the course could write a thesis (Seminar or Bachelor) under the supervision of the professor.
    Available seats 120
    Softskills Yes
    Softskills seats 20
    Off field No
    BeNeFri Yes
    Mobility Yes
    UniPop No
    Auditor Yes

    Documents

    Bibliography

    A script with a listing of references is provided. The student will find on the course's Moodle platform other resources.
    Files and attachments
  • Dates and rooms
    Date Hour Type of lesson Place
    19.02.2025 08:15 - 11:00 Cours PER 21, Room G230
    26.02.2025 08:15 - 12:00 Cours PER 21, Room G230
    05.03.2025 08:15 - 12:00 Cours PER 21, Room G230
    12.03.2025 08:15 - 12:00 Cours PER 21, Room G230
    19.03.2025 08:15 - 11:00 Cours PER 21, Room G230
    26.03.2025 08:15 - 11:00 Cours PER 21, Room G230
    02.04.2025 08:15 - 11:00 Cours PER 21, Room G230
    09.04.2025 08:15 - 11:00 Cours PER 21, Room G230
    16.04.2025 08:15 - 11:00 Cours PER 21, Room G230
    07.05.2025 08:15 - 11:00 Cours PER 21, Room G230
    14.05.2025 08:15 - 11:00 Cours PER 21, Room G230
    21.05.2025 08:15 - 11:00 Cours PER 21, Room G230
    28.05.2025 08:15 - 11:00 Cours PER 21, Room G230
  • Assessments methods

    Written exam - SS-2025, Session d'été 2025

    Date 04.06.2025 14:00 - 15:30
    Assessments methods By rating
    Descriptions of Exams

    Durée d'examens: 90 minutes. A livres ouverts

    Written exam - SS-2025, Session de rattrapage 2025

    Date 27.08.2025 08:30 - 10:00
    Assessments methods By rating
    Descriptions of Exams

    Durée d'examens: 90 minutes. A livres ouverts
  • Assignment
    Valid for the following curricula:
    Ba - Business Informatics - 180 ECTS
    Version: 2020-SA_V02
    2nd year 60 ECTS > Statistique: approfondissement / Vertiefungskurs Statistik
    Ba - Communication Studies - 90 ECTS
    Version: 2023-SA_V02
    2nd and 3rd year - 54 ECTS > Course - 39ECTS > Elective courses - 15 ECTS > Elective courses from DCM > Ba - Elective courses DCM > Statistique: approfondissement / Vertiefungskurs Statistik
    2nd and 3rd year - 54 ECTS > Course - 39ECTS > Elective courses - 15 ECTS > Elective courses of the SES Faculty > Elective BA courses SES max 4.5
    Ba - Communication and Media Research - 120 ECTS
    Version: 2021-SA_V04
    2nd + 3rd year - 78 ECTS > Course ans Seminars - 63 ECTS > Bachelor elective courses - min. 12 ECTS > Statistique: approfondissement / Vertiefungskurs Statistik
    2nd + 3rd year - 78 ECTS > Course ans Seminars - 63 ECTS > Bachelor elective courses - min. 12 ECTS
    Ba - Economics - 180 ECTS
    Version: 2018-SA_V03
    2nd year 60 ECTS > Mandatory courses - 54 ECTS > Statistique: approfondissement / Vertiefungskurs Statistik
    Ba - Management - 180 ECTS
    Version: 2018-SA_V02
    2nd year 60 ECTS > Cours obligatoires / Pflichtkurse 48 ECTS > Statistique: approfondissement / Vertiefungskurs Statistik
    Ba - Management - 180 ECTS
    Version: 2019-SA_V02
    2nd year 60 ECTS > Cours obligatoires / Pflichtkurse 48 ECTS > Statistique: approfondissement / Vertiefungskurs Statistik
    Ba - Management and Economics - 120 ECTS
    Version: 2018-SA_V02
    2nd + 3rd year - 78 ECTS > Kurse > Wahlkurse > Wahlkurse in Betriebswirtschaftslehre > Statistique: approfondissement / Vertiefungskurs Statistik
    BeNeFri - Sciences économiques et sociales
    Version: 2018-SP_V01 - SES BeNeFri
    Course > Bachelor course offering for BeNeFri Students
    Comp - Additional Programme HES Economics - 30 ECTS
    Version: 2018-SA_V01
    Compulsory courses > Statistique approfondissement ou Applied econometrics > Statistique: approfondissement / Vertiefungskurs Statistik
    Elective courses for the HES complementary programme - MA Ecopol
    Comp - Additional programme HES – Data Analytics & Economics - 30 ECTS
    Version: 2023-SP_V01
    Mandatory Courses > Statistique: approfondissement / Vertiefungskurs Statistik
    Complementary learnings in SES or mobility students
    Version: ens_compl_ses
    Bachelor course offering for Mobility Students
    Doc - Business Informatics
    Version: 20210713
    Elective courses > Wahlkurse UNIFR
    Doc - Economics
    Version: 2002-SA_V01
    Cours a choix > Wahlkurse UNIFR
    Doc - Economie quantitative
    Version: 2002-SA_V01
    Cours a choix > Wahlkurse UNIFR
    Doc - Management
    Version: 2002-SA_V01
    Cours a choix > Wahlkurse UNIFR
    Doc - Management in Nonprofit-Organisation
    Version: 2002-SA_V01 -60 ECTS Théoriques
    Elective courses > Wahlkurse UNIFR
    Doc - Sciences sociales
    Version: 2002-SA_V01
    Cours a choix > Wahlkurse UNIFR
    Doc - Sciences économiques et sociales
    Version: 2002-SA_V01
    Cours a choix > Wahlkurse UNIFR
    Education / Psychology 120
    Version: SA14_BA_fr_v02
    CTC / BP1.8-F
    Education / Psychology 120
    Version: SA20_BA_de_v01
    BP1.7-D Bereichsübergreifende Kompetenzen
    Education / Psychology 120
    Version: SA20_BA_bil_v01
    BP1.7-B Bereichsübergreifende Kompetenzen / Compétences transversales
    Educational Sciences 120
    Version: SA20_BA_de_v01
    BE1.8-D Bereichsübergreifende Kompetenzen
    Educational Sciences 120
    Version: SA20_BA_bil_v01
    Variante B > BE1.7b-B Bereichsübergreifende Kompetenzen
    Variante A > BE1.8a-B Compétences transversales
    Educational Sciences 120
    Version: SA14_BA_fr_v02
    CTC / BS1.8-F
    English Language and Literature 120
    Version: SA15_BA_ang_V02
    Module Nine: Soft Skills
    Mathematics 50 [BSc/BA SI]
    Version: 2022_1/V_01
    BSc_SI/BA_SI, Mathematics 50 ECTS, 1st-3rd years > BSc_SI/BA_SI, Mathematics, 2nd-3rd years, elective courses for 50 ECTS (from AS2020 on) > Statistique: approfondissement / Vertiefungskurs Statistik
    MiBa - Business Administration - 60 ECTS
    Version: 2015-SA_V01
    Mandaory courses - 28.5 ECTS > Statistique: approfondissement / Statistique II > Statistique: approfondissement / Vertiefungskurs Statistik
    MiBa - Business Communication : Economics - 60 ECTS
    Version: 2022_SA_V01
    Economics - 30 ECTS > Bachelor level elective course - 6 ECTS > Elective courses BA SES
    Communication and media - 30 ECTS > Elective courses - 9 ECTS > Ba - Elective courses DCM > Statistique: approfondissement / Vertiefungskurs Statistik
    MiBa - Business Communication : Management - 60 ECTS
    Version: 2022-SA_V01
    Communication and media - 30 ECTS > Elective courses - 9 ECTS > Ba - Elective courses DCM > Statistique: approfondissement / Vertiefungskurs Statistik
    MiBa - Communication et médias - 30 ECTS
    Version: 2022-SA_V01
    Elective courses - 9 ECTS > Ba - Elective courses DCM > Statistique: approfondissement / Vertiefungskurs Statistik
    MiBa - Economics - 30 ECTS
    Version: 2009-SA_V01
    Cours facultatifs à choisir: Cours bachelor (sans cours de langue) de la Faculté des sciences économiques et sociales > Elective courses BA SES
    MiBa - Economie politique - 60 ECTS
    Version: 2009-SA_V01
    Cours obligatoires à choix
    Cours facultatifs à choisir: Cours bachelor (sans cours de langue) de la Faculté des sciences économiques et sociales > Elective courses BA SES
    Musicology and History of Opera 120
    Version: SA20_BA_bi_v01
    BA 120 / Compétences transversales (CTC)
    NfBa - Business Communication : Business Informatics - 60 ECTS
    Version: 2022-SA_V01
    Communication and media - 30 ECTS > Elective courses - 9 ECTS > Ba - Elective courses DCM > Statistique: approfondissement / Vertiefungskurs Statistik
    Psychology 180
    Version: SA19_BA_fr_de_bil_v02
    Module 11 > M11 Soft skills
    Slavic Studies 120
    Version: SA15_BA_slav_V01
    Module 9: Compétences transversales et complémentaires
    Slavic Studies 120
    Version: SA15_BA_slav_V02
    Module 9: Compétences transversales et complémentaires