Winter Semester 2024/2025 – parental leave
Previous years:
2023/2024
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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
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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]