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Module Number:
| 13869
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| Module Title: | Laboratory |
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Praktikum
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| Department: |
Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology
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| Responsible Staff Member: | -
Prof. Dr. habil. Cunningham, Douglas
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| Language of Teaching / Examination: | English |
| Duration: | 1 semester |
| Frequency of Offer: |
On special announcement
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| Credits: |
6
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| 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.
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| 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
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Study project
/ 90 Hours
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Self organised studies
/ 60 Hours
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| 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
- 1. SÄ 2024
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Abschluss im Ausland /
Cyber Security /
keine PO
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Abschluss im Ausland /
Energietechnik und Energiewirtschaft /
keine PO
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Abschluss im Ausland /
Informatik /
keine PO
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Master (research-oriented) /
Informatik /
PO 2008
- 3. SÄ 2024
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| 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)
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| Module Components: | - Projects in the field of artificial intelligence
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| Components to be offered in the Current Semester: | |
