Module Number

INFO-4148 		Module Title

Machine Learning in Database Systems and Data Management 		Lecture Type(s)

Lecture
ECTS 3
Work load
- Contact time
- Self study
Workload:
90 h
Class time:
30 h / 2 SWS
Self study:
60 h
Duration 1 Semester
Frequency Irregular
Language of instruction German
Type of Exam

Written exam
Content

The lecture contains the following topical blocks.

- Key concepts of relational Database management systems (DBMS)
- AI-Review – Machine Learning (ML)
- AI-Review – Deep Learning (DL)
- AI-based optimization of data access
- Evaluation of DBMS via AI
- Metadata management
- AI-based data profiling
- AI-based evalzaution of data quality
- Semantic SQL
- Management of master data
- Summary
Objectives

After completing this lecture, students understand how machine learning methods can be used in the context of database systems and data management. They are able to apply machine learning methods to concrete problems when using database systems.
Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other Hechler
Literature

-
Last offered unknown
Planned for Wintersemester 2023
Assigned Study Areas INFO-INFO, INFO-PRAK, MEDI-APPL, MEDI-INFO, ML-CS