261-5110-00L  Optimization for Data Science

SemesterSpring Semester 2023
LecturersB. Gärtner, N. He
Periodicityyearly recurring course
Language of instructionEnglish


Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits10 credits
ExaminersB. Gärtner, N. He
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examinationwritten 180 minutes
Additional information on mode of examinationAt four times during the course of the semester, we will hand out graded assignments (compulsory continuous performance assessments). The solutions are expected to be typeset in LaTeX or similar. Solutions will be graded and contribute 40% to the final grade. Concretely, let P1, P2, P3, P4 be the performances in the four graded assignments, measured as the percentage of points being attained (between 0% and 100%). A graded assignment that is not handed in is counted with a performance of 0%.
Let PE be the performance in the final exam. Then the overall course performance is computed as P = 0.1*P1 + 0.1*P2 + 0.1*P3 + 0.1*P4 + 0.6*PE. A course performance of P >= 50% is guaranteed to lead to a passing grade, but depending on the overall performance of the cohort, we may lower the threshold for a passing grade. Assignments can be discussed with colleagues, but we expect an independent writeup.
Written aids4 pages (A4) of written material (no restrictions regarding form or content)
This information can be updated until the beginning of the semester; information on the examination timetable is binding.