Marco Pegoraro
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Teaching

Winter Semester 2024/2025 – parental leave

Previous years:

2023/2024

  • Advanced Process Mining (lecturer)
    Course – Summer Semester 2024 – Master – 6 ECTS – [RWTHmoodle]

  • Elements of Machine Learning and Data Science (lecturer)
    Course – Winter Semester 2023/2024 – Bachelor – 6 ECTS – [RWTHmoodle]

  • Machine Learning Applications in Process Mining (instructor)
    Seminar – Winter Semester 2023/2024 – Master – 4 ECTS – [RWTHmoodle]

2022/2023

  • Machine Learning Applications in Process Mining (instructor)
    Seminar – Summer Semester 2023 – Master – 4 ECTS – [RWTHmoodle]

  • Machine Learning Applications in Process Mining (instructor)
    Seminar – Winter Semester 2022/2023 – Master – 4 ECTS – [RWTHmoodle]

2021/2022

  • Machine Learning Applications in Process Mining (instructor)
    Seminar – Summer Semester 2022 – Master – 4 ECTS – [RWTHmoodle]

  • Machine Learning Applications in Process Mining (instructor)
    Seminar – Winter Semester 2021/2022 – Master – 4 ECTS – [RWTHmoodle]

2020/2021

  • Business Process Intelligence (teaching assistant)
    Course – Summer Semester 2021 – Master – 6 ECTS – [RWTHmoodle]

  • Machine Learning Applications in Process Mining (instructor)
    Seminar – Summer Semester 2021 – Master – 4 ECTS – [RWTHmoodle]

  • Machine Learning Applications in Process Mining (instructor)
    Seminar – Winter Semester 2020/2021 – Master – 4 ECTS – [RWTHmoodle]

2019/2020

  • Machine Learning Applications in Process Mining (instructor)
    Seminar – Summer Semester 2020 – Master – 4 ECTS – [RWTHmoodle]

  • Introducton to Data Science (teaching assistant)
    Course – Winter Semester 2019/2020 – Master – 6 ECTS – [RWTHmoodle]

2018/2019

  • Introducton to Feature Prediction on Running Process Instances (instructor)
    Seminar – Summer Semester 2019 – Master – 4 ECTS

  • Introducton to Data Science (teaching assistant)
    Course – Winter Semester 2018/2019 – Master – 6 ECTS – [RWTHmoodle]

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