Gabriela Alves Werb's teaching focuses on machine learning methods and their application to solve substantive problems in several disciplines, including marketing. She enjoys having discussions with students about the strengths and weaknesses of the methods covered in class, as well as their current applications in research and practice.
Machine Learning (PhD and MSQ Course, English)
Fall 2018: introduction to Machine Learning methods and applications, replication and discussion of papers implementing the methods covered in class. Student Evaluation: 5.7/6.
Data Mining in Marketing (Master Course, English / German)
• Spring 2019 (English): as teaching assistant and responsible for teaching selected modules. Ranked 6 among 43 lectures (5.5/6).
• Spring 2018 (German): as teaching assistant and responsible for teaching selected modules. Ranked 6 among 39 lectures (5.6/6).
• Spring 2017 (German): as teaching assistant. Ranked 11 among 42 lectures (5.4/6).