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Data Structures and Databases

Module name (EN):
Name of module in study programme. It should be precise and clear.
Data Structures and Databases
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Environmental Technologies, Bachelor, ASPO 01.10.2023
Module code: UI-DDB
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P251-0015
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 3
Mandatory course: yes
Language of instruction:
German
Assessment:
Project work

[updated 09.11.2022]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

UI-DDB (P251-0015) Environmental Technologies, Bachelor, ASPO 01.10.2021 , semester 3, mandatory course
UI-DDB (P251-0015) Environmental Technologies, Bachelor, ASPO 01.10.2023 , semester 3, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Damian Weber
Lecturer:
Dipl.-Physiker Michael Meßner


[updated 28.03.2024]
Learning outcomes:
After successfully completing this course, students will: be able to store, process, evaluate, and communicate data securely.

[updated 09.11.2022]
Module content:
1.  Bits, bytes and basics
2.  Data structures
3.  File basics
4.  Python:
5.  File formats
6.  Documents
7.  Databases
8.  NoSQL databases
9.  Standards
10. Cloud technology
11. Algorithms on datasets
12. Evaluating data
13. Secure communication
14. Trend topics

[updated 09.11.2022]
Recommended or required reading:


[still undocumented]
 
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