Databases & Information Retrieval


Event period Explanation of the participation options

In future

Currently 10 places available
Courses of this module
F5 Databases & Information Retrieval
Product information "Databases & Information Retrieval"
This module consists of two parts: In the first part, databases are discussed with a focus on unstructured and big data (e.g., NoSQL databases, horizontal and vertical scaling, ACID, CAP theorem and MapReduce). In the second part, information retrieval topics are covered (e.g., search engines, Approximate Search (k-Nearest Neighbor, Min-Hashing, Locality-Sensitive Hashing), and Recommender Systems)

is restricted access: Yes
Requirements - university entrance qualification: Not required
Requirements - one year of work experience: Not required
Requirements Language: None
Requirements Expertise: None
Other requirements

  • Participation in the modules "DS-F1 Mathematics & Statistics" as well as "DS-F2 Fundamentals of Machine Learning" or proof of corresponding knowledge
  • Mastery of a programming language (e.g. Python)

Topic: IT & Digitalisation
Format of course: Blended Learning
Level: Master
Course language: English
Study programme: Data Science
Number of credit points / ECTS: 5
Workload Contact time (in hours): 40
Workload self-study time (in hours): 85
Examination: inter-course examination (Module exam)
Exam format: Written exam
Further exam format: No further Exam

  • Acquire theoretical knowledge about the storage and processing possibilities of big data
  • Compare different architectures with regard to their advantages and disadvantages in different application scenarios
  • Gain knowledge of concurrent processing of large data sets and apply it to selected examples

27 = Dates of this module
27 = Dates with overlap
27 = Modules already selected
Please note: Dates subject to change