Digital Processes
Prof. Dr. Mirco Schoenfeld
Before we dive in
Before we dive in…
Do you have questions regarding your Transfer Papers?
Recap
The topics we covered so far…
- programming languages
- data structures
- software architecture
- modeling databases
- software project management
Recap
and there were more…
- unsupervised learning
- supervised learning
- deep learning
- measuring goodness of models
- large language models
- ethics of AI and ML
Recap
We had a highly specialized introduction into
advanced topics
related to AI and Software Technologies
Recap
You even got in touch with programming;
some of you for the
first time.
This course
How can this course add to all of this?
Learning objective
My learning objective for you:
Being critical with the data you use.
Learning by doing
Expectations
What you can expect from this course:
- connecting the threads from ST/AP & AI
seminars
- confidence in applying and
evaluating
AI-related approaches and methods
- sharpening your critical perspective on data
- preparation of your PSP
PSP
You will finish this module with a
PSP “AI and Data Strategy”
(Digital Loop 1)
PSP
It is a self-contained work consisting of
a 20-page
paper and a pitch (2-5 minutes).
PSP
The purpose of a PSP:
You demonstrate your ability to work
in a
transfer-oriented scientific manner.
PSP
You will be given enough time to prepare
and pitch your PSP in
this course.
What do you expect from this course?
What do you expect from this course?
