Programming Languages and Techniques for Artificial Intelligence Laboratory
Praktikum Programmiersprachen und -techniken für die Künstliche Intelligenz
4 CPirregularlyEN
Prerequisites
Recommended, as written
profound knowledge in programming
Contents
Implementation of development projects in small teams. Topics will be defined at the beginning of the semester.
Learning outcomes
After successful completion of the module, students have acquired methods, skills, and experiences in the practical implementations of a restricted field in the area of programming languages in the context of artificial intelligence. They have mastered the use of technical documentation and are able to further develop their experience in teamworking and presenting results.
Assessment
• the program components (50% of total marks) • documentation, 3-5 pages (20% of total marks) • a final presentation, 10-20 min (30% of total marks) Task-oriented scope of each performance. 75% of the total marks are needed to pass the module.
Literature (1)
- Relevant references depend on the laboratory topic and will be announced at the first lecture on the course webpage and moodle, resp.
Remarks
• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Seminars or Laboratories“
Source: BTU's module description · retrieved 19 Oct 2026Original