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Algorithmics for Data Scientists -- 2019

Grading rules

  • Four programming tasks given during the course (4x5%)
    • Some programming tasks will be homeworks, which have to be solved by the given deadline; one of them can be corrected later.
    • Some programming tasks will be solved during a special session.
    • Programming tasks can be solved in either C++ or Python; other languages require an approval of the lecturer.
  • Short tests (20 minutes) during the lecture (2x5%)
  • Exam (70%) consisting of theoretical questions and exercises
  • To pass the course, you have to gain at least 50% of points from homeworks, 50% of points from theoretical questions in the exam, and 50% of points from exercises in the exam.

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