13869 - Laboratory Modulübersicht

Module Number: 13869
Module Title:Laboratory
Department: Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
Responsible Staff Member:
  • Prof. Dr. habil. Cunningham, Douglas
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: On special announcement
Credits: 6
Learning Outcome: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.
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.

Recommended Prerequisites:None
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Seminar / 2 Hours per Week per Semester
  • Study project / 90 Hours
  • Self organised studies / 60 Hours
Teaching Materials and Literature:Depending on the project the relevant information will be provided at the beginning of the semester.
Module Examination:Continuous Assessment (MCA)
Assessment Mode for Module Examination:
  • Executable and tested prototype (50% of total marks)
  • Complete documentation (20% of total marks)
  • Successful intermediate presentation of results (10% of total marks)
  • Successful final presentation of results (20% of total marks)
75% of the total marks are needed to pass the module.
Evaluation of Module Examination:Study Performance – ungraded
Limited Number of Participants:None
Part of the Study Programme:
  • Master (research-oriented) / Artificial Intelligence / PO 2022
  • Abschluss im Ausland / Energietechnik und Energiewirtschaft / keine PO
  • Abschluss im Ausland / Informatik / keine PO
  • Master (research-oriented) / Informatik / PO 2008
  • 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)
Module Components:
  • Projects in the field of artificial intelligence
Components to be offered in the Current Semester: