Big Data Engineering

• Learn basic techniques in "Big Data Engineering" conceptually.
• Learn to apply basic techniques in "Big Data Engineering".
• Help you not to reinvent the wheel later.
• Learn to map new problems to existing problems and solve them using established techniques.
• Raise awareness for problems of important applications: Privacy, deanonymization, ethical issues.
• Raise awareness for solutions of important applications: Effort, performance, robustness, extensibility, maintainability.

Lecture

The lecture takes place every Thursday at 10:15 in building E2 2 - lecture hall 0.01 (Günter-Hotz-Hörsaal). The recording of the lecture will be uploaded to YouTube afterwards. The lecture was awarded with two busy beaver teaching awards (2011, 2021) and three busy beaver honorable mentions (2022, 2023, 2024).

Tutorials

On Wednesdays, there will be tutorials. In the tutorials there will be both exercises and the possibility to ask questions regarding the assignment sheets, the mini-tests, and the lectures. Please indicate your preferred tutorial timeslots on your personal status page by TBA. We will then assign you to your tutorial. If you are unable to attend on your assigned date at some point, you are welcome to attend another tutorial. The tutorials will start in the week of TBA.

Office Hours

In addition to the tutorials, there will be an Office Hour on TBA in the seminar room E1.1 SR3.06. In the Office Hour you can ask questions about the lectures and the assignment sheets, as well as get help with technical problems.

Assignment Sheets

During the day after each lecture we publish an assignment sheet with tasks related to the lecture under Materials. These usually consist of three written exercises and one programming exercise. Assignment sheets are voluntary and are intended as practice for the mini-tests and the exams.

Mini-Tests

On Tuesdays at 12:15 in building E2 2 - lecture hall 0.01 (Günter-Hotz-Hörsaal), there will be mandatory mini-tests with tasks related to the topics covered in the lecture the week before. Afterwards, your mini-test will be corrected by our team and you will receive points and feedback via CMS. More information about the exact dates for the mini-tests can be found in the Timetable.

Project

Near the end of the lecture, there will be a small project for which you have to develop a toy backend server for a social network. The project is to be completed by you in groups of 3-4 students. Your points will be determined by functional tests and the quality of your code together with the outcome of a short code review. Note that all team members must know and understand all code. Team members who are not able to explain parts of the code do not get points for the project. More information about the exact dates for the release and the submission of the project and for the code reviews can be found in the Timetable.

Exam Admission

To be eligible for the written exam and/or re-exam, you must achieve at least 50% of the possible points in the mini-tests and at least 50% in the project separately. Additionally, no more than two mini-tests may be graded with 0 points.

Exam

At the end of the semester there will be both a written exam and a re-exam.

• Exam: 29.07. 12:00 - 14:00
• Re-Exam: 25.09. 14:00 - 16:00

Grade

The better result of the written exam and the re-exam determines 100% of the final grade. In order to pass the lecture, at least 50% of the points must be achieved in the written exam or the re-exam.