Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

252-3900-00L  Big Data for Engineers

SemesterSpring Semester 2020
LecturersG. Fourny
Periodicityyearly recurring course
Language of instructionEnglish
CommentThis course is not intended for Computer Science and Data Science MSc students!


Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits6 credits
ExaminersG. Fourny
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 150 minutes
Additional information on mode of examinationWorking on the exercises is rewarded in the sense of ETH's continuous performance assessment with up to 0.25 bonus points. In principle, it is expected that students solve all exercises. In order to control this, every week, 2 to 3 batches of small assignments (25 in total) will be marked as "bonus point eligible". Students can hand in their solution to these special assignments every week, and they will be graded (pass/fail). Each one of the 25 assignment batches gives 0.01 extra point at the exam, which means that up to 0.25 can be obtained as a bonus. Note that these extra points are added before rounding to a grade with a quarter-point precision and thus may or may not affect the final grade. The final exam may be computer-based.
Written aidsGeneral dictionaries are allowed.
Online examinationThe examination may take place on the computer.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.