Veranstaltung
Projektpraktikum Information Service Engineering (Master) [WS202512600]
Typ
Praktikum (P)Präsenz/Online gemischt
Semester
WS 20/21SWS
2Sprache
EnglischTermine
14Dozent/en
Einrichtung
- KIT-Fakultät für Wirtschaftswissenschaften
Bestandteil von
- Teilleistung Praktikum Informatik (Master) | Wirtschaftsingenieurwesen (M.Sc.)
- Teilleistung Praktikum Informatik (Bachelor) | Wirtschaftsingenieurwesen (B.Sc.)
- Teilleistung Praktikum Informatik (Master) | Technische Volkswirtschaftslehre (M.Sc.)
- Teilleistung Praktikum Informatik (Bachelor) | Technische Volkswirtschaftslehre (B.Sc.)
- Teilleistung Praktikum Informatik (Master) | Wirtschaftsinformatik (M.Sc.)
- Teilleistung Praktikum Informatik (Bachelor) | Wirtschaftsinformatik (B.Sc.)
- Teilleistung Praktikum Informatik (Master) | Informationswirtschaft (M.Sc.)
- Teilleistung Praktikum Informatik (Bachelor) | Informationswirtschaft (B.Sc.)
- Teilleistung Praktikum Informatik (Master) | Wirtschaftsmathematik (M.Sc.)
Veranstaltungstermine
- 04.11.2020 10:00 - 11:30 - Room: 05.20 5A-09
- 11.11.2020 10:00 - 11:30 - Room: 05.20 5A-09
- 18.11.2020 10:00 - 11:30 - Room: 05.20 5A-09
- 25.11.2020 10:00 - 11:30 - Room: 05.20 5A-09
- 02.12.2020 10:00 - 11:30 - Room: 05.20 5A-09
- 09.12.2020 10:00 - 11:30 - Room: 05.20 5A-09
- 16.12.2020 10:00 - 11:30 - Room: 05.20 5A-09
- 23.12.2020 10:00 - 11:30 - Room: 05.20 5A-09
- 13.01.2021 10:00 - 11:30 - Room: 05.20 5A-09
- 20.01.2021 10:00 - 11:30 - Room: 05.20 5A-09
- 27.01.2021 10:00 - 11:30 - Room: 05.20 5A-09
- 03.02.2021 10:00 - 11:30 - Room: 05.20 5A-09
- 10.02.2021 10:00 - 11:30 - Room: 05.20 5A-09
- 17.02.2021 10:00 - 11:30 - Room: 05.20 5A-09
Anmerkung
The ISE project course is based on the summer semester lecture "Information Service Engineering". The topics of the ISE project course focus on artificial intelligence based applications. In particular, we are covering the following:
- Natural Language Processing
- Knowledge Graphs
- Deep Learning
Goal of the course is to work on a research problem in small groups (3-4 students) related to the ISE lecture topics, i.e. Natural Language Processing, Knowledge Graphs, and Machine Learning. The solution of the given research problem requires the development of a software implementation.
The project will be worked on in teams of 3-4 students each, guided by a tutor from the teaching staff.
Required coursework includes:
- Mid term presentation (5-10 min)
- Final presentation (10-15 min)
- Course report (c. 20 pages)
- Participation and contribution of the students during the course
- Software development and delivery
Notes:
The ISEproject course can also be credited as a seminar.
The project will be worked on in teams of 3-4 students each, guided by a tutor from the teaching staff.
The project course will be restricted to 15 participants.
Participation in the lecture "Information Service Engineering" (summer semester) is required.
ISE Tutor Team:
- Dr. Mehwish Alam
- Dr. Danilo Dessi
- M. Sc. Genet Asefa Gesese
- M. Sc. Fabian Hoppe
- M. Sc. Zahra Rezaie
- M. Sc. Sasha Vsesviatska
- B. Sc. Tabea Tietz