Seminar: Software Engineering for AI
Seminar zoom
The first seminar meeting will be on Thursday, 14.10.2021 at 10:00 am - 11:30 am. The log-in details will be provided in the corresponding Ilias course.
Course content
The seminar has a scope of 2 SWS and gives 6 ECTS points.
In the seminar we deal with the challenges in software engineering for the development of software systems that are heavily based on machine learning or AI. We work out how an idea and an initial model developed by a data scientist (eg scripts and Jupyter notebooks) can be used as part of a scalable and maintainable system (eg mobile apps, web applications, IoT device) can. This course does not focus on modeling and learning per se, but rather focuses on issues of design, implementation, operation, and security and how these interact with the data scientist's modeling.
This seminar is aimed at students who have previous knowledge of software engineering and who want to understand the specific challenges of working with AI components, and to students with previous knowledge of data science who understand the challenges involved in transferring a prototype to production want; it facilitates communication and collaboration between the two roles.
Registration and size limit
You can register for the seminar via KLIPS.
Due to the close supervision, the seminar is currently limited to 15 participants.
Workload
The seminar is designed for 2 SWS and is worth 6 ECTS points.
Schedule
The seminar is held every Thursday from 10:00 - 11:30 . The additional material and excercises will be updated throughout the semester.
Date | Time | Topic | Additional material / exercises |
---|---|---|---|
Thu 14.10.2021 | 10:00 am - 11:30 am | Information event | |
Thu 21.10.2021 | 10:00 am - 11:30 am | Information event | |
Thu 28.10.2021 | 10:00 am - 11:30 am | Information event | |
Thu 13.01.2022 | 10:00 am - 11:30 am | Final Presentation | |
Thu 20.01.2022 | 10:00 am - 11:30 am | Final Presentation | |
Thu 27.01.2022 | 10:00 am - 11:30 am | Final Presentation | |
Thu 03.02.2022 | 10:00 am - 11:30 am | Final Presentation |