Laboratory
Praktikum
6 CPirregularlyEN
Contents
The laboratory is implemented as a study project. For each project the following work steps have to be accomplished: • Getting acquainted with the state of the art • Project planning • Selecting the models and mechanisms to be used • Implementation of a prototype • Testing and evaluating the prototype • Documentation The course will explicitly discuss ethical and social frameworks in general as well as ethical and social considerations of machine learning in particular.
Learning outcomes
After successfully completing the module, students will have acquired practical skills in oan area in Artificial Intelligence, in particular: • In-depth understanding of the state of knowledge in the corresponding field, • Ability to carry out projects (project planning, time management, communication, ...), • Ability to apply this knowledge and implement the relevant mechanisms, • Ability to collaborate with other developers.
Assessment
• 4 to 6 project tasks, each with an executable prototype and associated documentation The project tasks are weighted equally. - 75% of the total marks are needed to pass the module.
Literature (1)
- Depending on the project the relevant information will be provided at the beginning of the semester.
Remarks
• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Seminars or Laboratories“ • Study programme Informatik M.Sc.: Compulsory elective module in complex "Seminare oder Praktika" (level 400)
Source: BTU's module description · retrieved 15 Oct 2026Original