Bachelor seminar KMD

every

(in German: Bachelorseminar KMD )
Module-ID: FIN-INF-110527

Abbreviation

KMD_BachelorSeminar

Credit Points

5

Semester

every

Term

Duration

1 Semester

Language

english

Level

Bachelor

Link: LSF
Limited accessability: false
Responsibility: Myra Spiliopoulou
Lecturer: Myra Spiliopoulou
Classes: Seminar KMD_BachelorSeminar  
Applicability in curriculum: - B.Sc. INF: Informatik - Wahlpflicht
- B.Sc. INF: Studienprofil: Künstliche Intelligenz
- B.Sc. CV: Informatik - Wahlpflicht
- B.Sc. INGINF: Informatik - Wahlpflicht
- B.Sc. WIF: Verstehen und Gestalten - Wahlpflicht
- B.Sc. WIF: Gestalten und Anwenden - Wahlpflicht
- B.Sc. INF (bilingual): Informatik - Wahlpflicht

Intended learning outcomes:
When successfully completing this seminar, the students:


Content:
CONTENT: Topics on 'Knowledge Management and Discovery' for business applications, engineering applications and applications in healthcare; all topics refer to mining algorithms STRUCTURE: Each student receives a topic as assignment. The assignment encompasses:

The student must:
  1. read the papers
  2. compare the methods and results in them in order to answer the scientific questions
  3. critically discuss and rank the methods compared in the previous step
  4. present the above in class and answer questions
  5. write an essay on them

Workload:
28 h Präsenz + 94 h selbstständige Arbeit COURTESY TRANSLATION: 28 h in class + 94 h self-study

Pre-examination requirements: Type of examination: Teaching method / lecture hours per week (SWS):

Referat

Seminar (2 SWS)

Prerequisites according to examination regulations: Recommended prerequisites:

none

  • Familiarity with mining algorithms
  • Familiarity with methods for model evaluation
Media: Literature:

The seminar contains several topics. The mapping of the module (see field 'Verwendbarkeit') depends on the topic assigned to a specific student.

Comments:


Revision #1
Created 2026-10-01 07:18:35 UTC by Fakultät für Informatik
Updated 2026-10-01 07:18:35 UTC by Fakultät für Informatik