Event
Project lab Information Service Engineering (Master) [WS202512600]
Type
internship (P)Präsenz/Online gemischt
Term
WS 20/21SWS
2Language
EnglischAppointments
14Lecturers
Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
Part of
- Brick Advanced Lab Informatics (Master) | Industrial Engineering and Management (M.Sc.)
- Brick Advanced Lab Informatics (Bachelor) | Industrial Engineering and Management (B.Sc.)
- Brick Advanced Lab Informatics (Master) | Economics Engineering (M.Sc.)
- Brick Advanced Lab Informatics (Bachelor) | Economics Engineering (B.Sc.)
- Brick Advanced Lab Informatics (Master) | Information Systems (M.Sc.)
- Brick Advanced Lab Informatics (Bachelor) | Information Systems (B.Sc.)
- Brick Advanced Lab Informatics (Master) | Information Engineering and Management (M.Sc.)
- Brick Advanced Lab Informatics (Bachelor) | Information Engineering and Management (B.Sc.)
- Brick Advanced Lab Informatics (Master) | Economathematics (M.Sc.)
Appointments
- 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
Note
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