Statistique: approfondissement

  • Teaching

    Details

    Faculty Faculty of Management, Economics and Social Sciences
    Domain Information Systems
    Code UE-ESE.00029
    Languages French
    Type of lesson Lecture
    Level Bachelor
    Semester SP-2022

    Schedules and rooms

    Summary schedule Wednesday 08:15 - 11:00, Hebdomadaire, PER 21, Room E120
    Hours per week 3

    Teaching

    Responsibles
    Teachers
    Assistants
    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.

    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
    23.02.2022 08:15 - 11:00 Cours PER 21, Room E120
    02.03.2022 08:15 - 11:00 Cours PER 21, Room E120
    09.03.2022 08:15 - 11:00 Cours PER 21, Room E120
    16.03.2022 08:15 - 11:00 Cours PER 21, Room E120
    23.03.2022 08:15 - 11:00 Cours PER 21, Room E120
    30.03.2022 08:15 - 11:00 Cours PER 21, Room E120
    06.04.2022 08:15 - 11:00 Cours PER 21, Room E120
    13.04.2022 08:15 - 11:00 Cours PER 21, Room E120
    27.04.2022 08:15 - 11:00 Cours PER 21, Room E120
    04.05.2022 08:15 - 11:00 Cours PER 21, Room E120
    11.05.2022 08:15 - 11:00 Cours PER 21, Room E120
    18.05.2022 08:15 - 11:00 Cours PER 21, Room E120
    25.05.2022 08:15 - 11:00 Cours PER 21, Room E120
    01.06.2022 08:15 - 11:00 Cours PER 21, Room E120
  • Assessments methods

    Written exam - SP-2022, Session d'été 2022

    Date 15.06.2022 11:00 - 12:30
    Assessments methods By rating
    Descriptions of Exams

    Durée d'examens: 90 Min.

    Les moyens autorisés sont une calculatrice de poche de la série Texas Instruments TI-30; le "Formulaire et Tables" des éditions du Tricorne; le "Formulaire et tables" édité par le Séminaire de statistique. Les documents ne doivent comporter aucune inscription personnelle.

    Written exam - SP-2022, Session de rattrapage 2022

    Date 31.08.2022 08:30 - 10:00
    Assessments methods By rating
    Descriptions of Exams

    Durée d'examens: 90 Min.

    Les moyens autorisés sont une calculatrice de poche de la série Texas Instruments TI-30; le "Formulaire et Tables" des éditions du Tricorne; le "Formulaire et tables" édité par le Séminaire de statistique. Les documents ne doivent comporter aucune inscription personnelle.

  • 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: 2022/SA_V01
    2nd and 3rd year - 60 ECTS > Cours à choix > Elective courses BA SES

    Ba - Economics - 180 ECTS
    Version: 2018/SA_V02
    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

    Comp - International and European Business - 30 ECTS
    Version: 2018/SA_V01_F+D
    Cours obligatoires > Statistique: approfondissement / Statistique II > Statistique: approfondissement / Vertiefungskurs Statistik

    Comp - compl. MA in Accounting and Finance - 30 ECTS
    Version: 2020/SA-V01_COURS_AAF
    Cours obligatoires > Statistique: approfondissement / Statistique II > Statistique: approfondissement / Vertiefungskurs Statistik

    Comp Ma - Management
    Version: 2019/SA_v01
    Cours obligatoires > Statistique: approfondissement / Statistique II > Statistique: approfondissement / Vertiefungskurs Statistik

    Complementary learnings in SES
    Version: ens_compl_ses
    803 - BA course offering for Mobility Students

    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 - 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: 2020_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: 2014/SA_V01
    Communication et medias > Au moins 10.5 ECTS en cours à choix dont au moins 6 ECTS dans la liste en communication et médias > Wahlkurse BA SES max 4.5
    Cours facultatifs à choisir: Cours bachelor (sans cours de langue) de la Faculté des sciences économiques et sociales > Elective courses BA SES

    MiBa - Business Communication : Management - 60 ECTS
    Version: 2014/SA_V01
    Communication and medias > Au moins 10.5 ECTS à choisir dans la liste > Wahlkurse BA SES max 4.5

    MiBa - Communication and Media - 30 ECTS
    Version: 2014/SA_V01
    Au moins 10.5 ECTS à choisir dans la liste > Wahlkurse BA SES max 4.5

    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

    NfBa - Business Communication : Business Informatics - 60 ECTS
    Version: 2014/SA_V01
    Communication et medias > Au moins 10.5 ECTS à choisir dans la liste > Wahlkurse BA SES max 4.5

    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