Méthodes de classification

  • Teaching

    Details

    Faculty Faculty of Management, Economics and Social Sciences
    Domain Information Systems
    Code UE-EIG.00121
    Languages French
    Type of lesson Lecture
    Level Master
    Semester SP-2021

    Schedules and rooms

    Summary schedule Tuesday 08:15 - 11:00, Hebdomadaire, PER 21, Room B130
    Hours per week 3

    Teaching

    Responsibles
    Teachers
    Assistants
    Description

    The course is an introduction to classification methods:

    1. Discriminant analysis (Introduction; binary classification; multiclass classification)
    2. Splines (Bézier curves and splines; splines smoothers)

    3. Generalized additive models and regression trees (Generalized additive models; classification and regression trees; MARS; boosting algorithms)
    4. Random forests and transformation forests

    The theoretical concepts and the methods are illustrated by practical applications. R is the software used.

    Moodle Link

    Training objectives

    The course is part of the supplied of Master courses in applied statistics, which is a packet of four half-yearly ones of 4.5 ECTS (one by semester) over two years:

    1. Topics in multivariate statistics
    2. Introduction to Bayesian statistics
    3. Inference, evaluation and selection of models
    4. Classification methods

    Although they complete each other, they can be chosen separately. Of general interest, the set of courses gives a broad view of problems and applied statistical methods, and of the data science. A server of Jupyter notebooks completes the course.

    There is no specific public. Although the courses are primarily conceived for students of the Faculty of Management, Economics and Social Sciences, they can be attended by other students. 

    The student will benefit not only of theoretical knowledge but is also skilled in the use of the methods presented during the course.

    Condition of access Bachelor
    Comments

    Only students who will have validated the course could write a Master thesis under the supervision of the professor. The course is taught in French, but the students can talk in German or English. The exam can be written in one of this language.

    Available seats 20
    Softskills
    Yes
    Softskills seats 5
    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
    23.02.2021 08:15 - 11:00 Cours PER 21, Room B130
    02.03.2021 08:15 - 11:00 Cours PER 21, Room B130
    09.03.2021 08:15 - 11:00 Cours PER 21, Room B130
    16.03.2021 08:15 - 11:00 Cours PER 21, Room B130
    23.03.2021 08:15 - 11:00 Cours PER 21, Room B130
    30.03.2021 08:15 - 11:00 Cours PER 21, Room B130
    13.04.2021 08:15 - 11:00 Cours PER 21, Room B130
    20.04.2021 08:15 - 11:00 Cours PER 21, Room B130
    27.04.2021 08:15 - 11:00 Cours PER 21, Room B130
    04.05.2021 08:15 - 11:00 Cours PER 21, Room B130
    11.05.2021 08:15 - 11:00 Cours PER 21, Room B130
    18.05.2021 08:15 - 11:00 Cours PER 21, Room B130
    25.05.2021 08:15 - 11:00 Cours PER 21, Room B130
    01.06.2021 08:15 - 11:00 Cours PER 21, Room B130
  • Assessments methods

    Examen écrit - SP-2021, Session d'été 2021

    Date 14.06.2021 08:30 - 09:30
    Assessments methods By rating
    Descriptions of Exams

    Durée d'examens: 60 Min. - A livres ouverts

    Les étudiant-e-s par groupe de deux ou trois effectuent un projet durant le semestre dont les modalités sont définies en début de semestre. La réussite du projet est nécessaire pour s'inscrire à l'examen. 

    Examen écrit - SP-2021, Session de rattrapage 2021

    Date 30.08.2021 11:00 - 12:00
    Assessments methods By rating
    Descriptions of Exams

    Durée d'examens: 60 Min. - A livres ouverts

    Les étudiant-e-s par groupe de deux ou trois effectuent un projet durant le semestre dont les modalités sont définies en début de semestre. La réussite du projet est nécessaire pour s'inscrire à l'examen. 

  • Assignment
    Valid for the following curricula:
    Accounting and Finance 90 [MA]
    Version: 2021/SA_V01
    Course > Cours à option dans tous les cours de Master de l'université > SES Master level courses
    Course > Modules "Data Analytics" and "Audit et Fiscalité" > DAT: Data Analytics

    Branche secondaire Master: informatique de gestion 30 [MA]
    Version: 2020/SA_V01
    Cours > Modules management > DAT: Data Analytics
    Cours > Module Wirtschaftsinformatik > DADS: Data Analytics & Decision Support

    Business Communication - Economics 90 ECTS [MA]
    Version: 2021/SA_V01
    Courses > Communication > Cours et séminaires au choix: Au choix deux des enseignements suivants à 3 ECTS > Cours et séminaires au choix de la Faculté des SES
    Courses > Option Group > Economics > Kurse der Module Master Volkswirtschaftslehre, ohne die Module 4 und 9

    Business Communication - Ethics and Economics 90 ECTS [MA]
    Version: SP 2017 ETHIQUE
    Courses - 60 ECTS > Communication > Cours et séminaires au choix: Au choix deux des enseignements suivants à 3 ECTS > Cours et séminaires au choix de la Faculté des SES

    Business Communication - Information Systems 90 ECTS [MA]
    Version: 2020/SA_V01
    Courses - 60 ECTS > Communication > Deux Cours et séminaires au choix 6 ECTS > Cours et séminaires au choix de la Faculté des SES
    Courses - 60 ECTS > Option Group > Information Management > Cours > Modules management > DAT: Data Analytics
    Courses - 60 ECTS > Option Group > Information Management > Cours > Module Wirtschaftsinformatik > DADS: Data Analytics & Decision Support

    Business Communication - Management 90 ECTS [MA]
    Version: 2021/SA_V01
    Courses - 60 ECTS > Chosen Option > Management > 30 ECTS parmi les modules : > DAT: Data Analytics
    Courses - 60 ECTS > Communication > Deux Cours et séminaires au choix 6 ECTS > Cours et séminaires au choix de la Faculté des SES

    Communication and Media Research 90 ECTS [MA]
    Version: 2015
    Courses - 60 ECTS > Inter- and Transdisciplinary Perspectives > SES Master level courses

    Communication and Society 90 ECTS [MA]
    Version: 2021/SA_V01
    Courses - 60 ECTS > Schwerpunkten > Inter- & Transdisciplinary Perspectives > SES Master level courses

    Complementary learnings in SES
    Version: ens_compl_ses
    MA course offering for Mobility Students

    Data Analytics & Economics 90 [MA]
    Version: 2020/SA-v01
    Courses min 63 ECTS > Mandatory Modules (45 to 63 ECTS) > Module I: Data Analytics (Data)

    Data Analytics 30 [MA]
    Version: 2020/SA-v01
    À choix 9 crédits ECTS > DADS: Data Analytics & Decision Support
    À choix 18 crédits ECTS

    Economics 90 [MA]
    Version: 2021/SA_V02
    Information pour l'étudiant (à définir) > Quantitative Economics > 369 - Option : "Quantitative Economics"
    Elective courses > SES Master level courses
    Elective courses > 369 - Elective courses of the Master in Political Economy

    Economics Master: 30 ECTS
    Version: 2019/v01 nouveauPLE
    Two modules must be validated with min. 12 ECTS each > Module 6: Quantitative Economics

    European Business 90 ECTS [MA]
    Version: 2017/SA_v01
    Courses - 63 ECTS > Additional courses: Any Master courses of the Faculty of Economics and Social Sciences, as well as maximum 9 ECTS from all Master programmes of the University. > SES Master level courses

    Gestion d'entreprise 30 [MA]
    Version: 2020/SA_V01
    Cours facultatifs à choisir: Cours master de la Faculté des sciences économiques et sociales > SES Master level courses
    Es müssen zwei der folgenden aufgeführten Wahlmodule belegt werden > DAT: Data Analytics

    Information Management 90 ECTS [MA] - SA/2019
    Version: 2019/SA_V01
    Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > DADS: Data Analytics & Decision Support
    Classes - min. 45 ECTS > Module IT and IT Management > DADS: Data Analytics & Decision Support

    Information Management 90 ECTS [MA] - SA/2020
    Version: 2020/SA-v01
    Classes - min. 45 ECTS > Module IT and IT Management > DADS: Data Analytics & Decision Support
    Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > DADS: Data Analytics & Decision Support
    Classes - min. 45 ECTS > Modules management - max. 15 ECTS > DAT: Data Analytics

    Management 90 ECTS [MA]
    Version: 2017/SA_v01
    Courses: min. 63 ECTS > Cours facultatifs : max. 18 ECTS > SES Master level courses

    Management 90 ECTS [MA] - SA/2021
    Version: 2021/SA_V01
    Courses: min. 72 ECTS > Elective Courses : max. 18 ECTS > SES Master level courses
    Courses: min. 72 ECTS > Modules - min 54 ECTS > Groupe d'élément de validation du Module DAT > DAT: Data Analytics

    Marketing 90ECTS [MA]
    Version: 2021/SA_V01
    Courses > Groupe d'élément de validation du Module DAT > DAT: Data Analytics
    Courses > Elective Master courses from the whole university > SES Master level courses

    Public Economics and Public Finance 90 ECTS [MA_DD]
    Version: 2015 MA VWL DD
    Cours > Up to 45 ECTS credits must fulfill the conditions required for the specialisation, including the modules 1, 2 and 6 with a min. of 12 ECTS in each. > Module 6: Quantitative Economics

    Sciences économiques et sociales
    Version: 2018/SP_v01 ses_BeNeFri
    Course > MA course offering for BeNeFri Students

    1026 6 International and European Business 90 [MA]
    Version: 2021/SA_V01
    Courses > Modules > One complete module taken from the following list > Groupe d'élément de validation du Module DAT > DAT: Data Analytics
    Courses > Additional courses: Any Master courses of the Faculty of Economics and Social Sciences, as well as maximum 9 ECTS from all Master programmes of the University. > SES Master level courses