Teaching

Bachelor

Entity-Relationship-Model; foundations of relational database systems; relational algebra; SQL; normal forms; internal structure of database systems, physical data organisation and B-trees; transaction concepts; recovery; column-stores, in-memory database systems; current approaches

Course Leader
Type
Lecture and Tutorial (7.5 ECTS, VO3 + PS2)
Place and Time
Thu, 10.15 - 12.00, Gr. HS (Lecture)
Tue, 14.15 - 15.00, HS A (Lecture)
Tue, 08.15 - 10.00, SR 13 (Tutorial Group 1)
Tue, 12.15 - 14.00, SR 13 (Tutorial Group 2)
Tue, 16.15 - 18.00, SR 12 (Tutorial Group 3)
Tue, 08.15 - 10.00, HSB 7 (Tutorial Group 4)
Tue, 12.15 - 14.00, SR 12 (Tutorial Group 5)
Tue, 12.15 - 14.00, HS 10 (Tutorial Group 6)
Tue, 10.15 - 12.00, Online (Tutorial Group 8)
Tue, 17.15 - 19.00, Online (Tutorial Group 9)
LFU-Online

Characteristics and concepts of distributed systems, Virtual machines, Containers, Serverless computing, Communication, P2P systems, Modeling of Distributed applications, Fault Tolerance, Scheduling, Cloud Computing continuum, Distributed File Systems, Distributed Information Systems, Coordination, Consistency, Replication, MapReduce.

Course Leader
Type
Combined Lecture and Tutorial (7,5 ECTS, VO3 + PS2)
Place and Time
Thu, 14.15 - 17.00, GR. HS (Lecture)
Fri, 08.15 - 10.00, rr 15 (Tutorial Group 1)
Fri, 10.15 - 12.00, rr 15 (Tutorial Group 2)
Fri, 12.15 - 14.00, rr 15 (Tutorial Group 3)
LFU-Online

Advanced study of a subdiscipline of Computer Science or didactics of Computer Science; independent writing of the Bachelor's Thesis; oral presentation of the Bachelor's Thesis; within the scope of the seminar a Bachelor’s Thesis corresponding to 6,5 (of altogether 7.5) ECTS-Credits must be written.

Course Leader
Type
Seminar with Bachelor Thesis (15 ECTS, SE1)
Place and Time
see LFU:online
LFU-Online

Master

Master Software Engineering

Data set creation, data preparation, data quality, feature engineering, exploratory and descriptive dataset analyses, data visualization, dimensionality reduction, evaluation and errors, modeling and prediction, biases.

Course Leader
Type
Lecture and Tutorial (7.5 ECTS, VO2 + PS2)
Place and Time
Wed, 08.15 - 10.00, HSB 6 (Lecture)
Wed, 10.15 - 12.00, SR 13 (Tutorial Group 0)
Wed, 12.15 - 14.00, SR 12 (Tutorial Group 1)
LFU-Online