Investigation

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    Semester No. Format Title Lecturers CP Time and place Aud.
    2024004fs 2024 66937-01 Lecture with practical courses Foundations of Deep Learning Aurelien Lucchi
    6 wöchentlich
    1Monday, 10.15-12.00
    Bernoullistrasse 30/32, Hörsaal 103

    wöchentlich
    4Thursday, 16.15-18.00
    Spiegelgasse 5, Seminarraum 05.001
    2023005ss 2024 67923-01 Lecture Continuous Optimization Aurelien Lucchi
    6 wöchentlich
    4Thursday, 16.15-18.00
    Spiegelgasse 1, Seminarraum 00.003
    2023005ss 2024 67923-02 Practical course Continuous Optimization Aurelien Lucchi
    6 wöchentlich
    1Monday, 14.15-16.00
    Spiegelgasse 1, Seminarraum 00.003
    2023004fs 2023 66937-01 Lecture with practical courses Foundations of Deep Learning Aurelien Lucchi
    6 wöchentlich
    1Monday, 10.15-12.00
    Bernoullistrasse 30/32, Hörsaal 103

    wöchentlich
    4Thursday, 16.15-18.00
    Spiegelgasse 5, Seminarraum 05.001
    2022005ss 2023 67923-01 Lecture Continuous Optimization Aurelien Lucchi
    6 wöchentlich
    4Thursday, 16.15-18.00
    Spiegelgasse 1, Seminarraum 00.003
    2022005ss 2023 67923-02 Practical course Continuous Optimization Aurelien Lucchi
    6 wöchentlich
    1Monday, 16.15-18.00
    Kollegienhaus, Seminarraum 105
    2022004fs 2022 66937-01 Lecture with practical courses Foundations of Deep Learning Aurelien Lucchi
    6 wöchentlich
    1Monday, 10.15-12.00
    Bernoullistrasse 30/32, Hörsaal 103

    wöchentlich
    4Thursday, 16.15-18.00
    Spiegelgasse 5, Seminarraum 05.001
    2022004fs 2022 66096-01 Lecture with practical courses Mathematics of Data Science Jiří Černý
    Ivan Dokmanić
    Aurelien Lucchi
    8 wöchentlich
    1Monday, 16.15-18.00
    Kollegienhaus, Hörsaal 117

    wöchentlich
    2Tuesday, 16.15-18.00
    Geographie, Hörsaal 5-01

    wöchentlich
    4Thursday, 08.15-10.00
    Kollegienhaus, Hörsaal 001
    2021005ss 2022 63987-01 Seminar Statistical Learning Theory and Related Topics Aurelien Lucchi
    4 wöchentlich
    4Thursday, 14.15-16.00
    Spiegelgasse 1, Seminarraum 00.003