Machine learning

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Biology
    Code UE-SBL.30002
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SP-2023

    Schedules and rooms

    Summary schedule Monday , Cours bloc (Spring semester)
    Struct. of the schedule cours bloc - 10 jours

    Teaching

    Responsibles
    • Wegmann Daniel
    Teachers
    • Wegmann Daniel
    Description

    The aim of this course is to equip the students with the necessary skills to apply machine learning techniques in their own research. It focuses on numerical techniques such as Expectation Maximization and Markov Chain Monte Carlo, and introduces the use of Hidden Markov Models and approximate techniques to analyze genomic data. The course is paired with exercises allowing students to implement these techniques in “R” to analyze biological data.

    Softskills
    No
    Off field
    No
    BeNeFri
    Yes
    Mobility
    No
    UniPop
    No
  • Dates and rooms
    Date Hour Type of lesson Place
    20.02.2023 08:15 - 12:00 Cours PER 21, Room B130
    20.02.2023 13:15 - 17:00 Cours PER 07, Room 2.301
    22.02.2023 08:15 - 12:00 Cours PER 07, Room 1.309
    27.02.2023 08:15 - 12:00 Cours PER 21, Room B130
    27.02.2023 13:15 - 17:00 Cours PER 07, Room 2.301
    06.03.2023 08:15 - 12:00 Cours PER 21, Room B130
    06.03.2023 13:15 - 17:00 Cours PER 07, Room 2.301
    08.03.2023 08:15 - 12:00 Cours PER 07, Room 1.309
    13.03.2023 08:15 - 12:00 Cours PER 21, Room B130
    13.03.2023 13:15 - 17:00 Cours PER 21, Room E130
    15.03.2023 08:15 - 12:00 Cours PER 21, Room D230
    20.03.2023 08:15 - 12:00 Cours PER 21, Room B130
    20.03.2023 13:15 - 17:00 Cours PER 07, Room 2.301
    22.03.2023 08:15 - 12:00 Cours PER 21, Room D230
    27.03.2023 08:15 - 12:00 Cours PER 21, Room B130
    27.03.2023 13:15 - 17:00 Cours PER 21, Room E130
    29.03.2023 08:15 - 12:00 Cours PER 21, Room D230
    03.04.2023 08:15 - 12:00 Cours PER 21, Room B130
    03.04.2023 13:15 - 17:00 Cours PER 21, Room E130
    05.04.2023 08:15 - 12:00 Cours PER 21, Room D230
  • Assessments methods

    Written exam - SP-2023, Session d'été 2023

    Date 22.06.2023 14:00 - 15:30
    Assessments methods By rating
    Descriptions of Exams

    Written exam (90 min.). One mark

  • Assignment
    Valid for the following curricula:
    Additional Courses in Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Specialized courses in Biology (Master level)

    Additional programme requirements for PhD studies [PRE-DOC]
    Version: 2020_1/v_01
    Additional programme requirements for PhD studies (Faculty of Science and Medicine) > Specialized courses in Biology (Master level)

    Biology [3e cycle]
    Version: 2015_1/V_01
    Continuing education > Specialized courses in Biology (Master level)

    Biology [POST-DOC]
    Version: 2015_1/V_01
    Continuing education > Specialized courses in Biology (Master level)

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