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Home | Courses | Research Hackathon, year 1

Research Hackathon, year 1

  • Teacher(s)
    Ines Lindner
  • Research field
  • Dates
    Period 3 - Jan 03, 2022 to Feb 25, 2022
  • Course type
  • Program year
  • Credits

Course description

Big data is omnipresent in modern society and in conjunction with machine-learning techniques promises both new and deeper insights to address business research problems. Yet, even with big data, not all research questions are interesting, and not all models are appropriate.

This course, therefore, allows students to put their methodological knowledge to the test and verify first hand if they have what it takes to address business research questions that are of high academic and managerial relevance. It offers an important meta-learning experience, connecting all the teachings preceding the course and thought simultaneously. The assignment can be further developed into a research paper in year 2, during the Research Clinic, and during the second Research Hackathon where the second-year students can up their game, moving their work away from a student-assignment type of output and closer to a research publication.

In the second year, students will focus on their specific field of interest, improving their modelling approach and fine-tuning the business implications of their research findings.

For this course, students are expected to have prior experience with one or more high-level programming languages, such as R, Python, C++, and MATLAB. And to work with LISA.

Students are expected to bring their own laptop.

Course literature

All materials discussed in previous courses. Datasets will be provided.