Monday, April 14th (09:00h – 18:00h)
Advanced Course (Day 1): Multivariate Data Analysis (MVDA) and Machine Learning (ML) Methods
09:00 – 09:30
Introduction of the lecturing team and participants
09:30-10:15
Process data specialities and roles of process models
10:30 – 11:15
PCA and PLSR
11:15 – 11:40
PLS2 and variable importance
11:40 – 12:40
Hands-on experience & industrial use cases
12:40 – 13:30
Lunch
13:30 – 14:30
Introduction into Machine Learning
14:30 – 15:30
Examples of Machine Learning tools
15:45 – 16:45
Gaussian processes
17:00 – 18:30
Hands-on experience & industrial use cases
18:30 –
Social programme
Tuesday, April 15th (09:00h – 18:00h)
Advanced Course (Day 2): Hybrid Modeling and Applications of Smart Digital Solutions in Bioprocessing
09:00 – 10:00
Basic principles of Hybrid Models
10:00 – 11:00
Industrial examples of Hybrid Models – USP
11:15 – 11:45
Industrial examples of Hybrid Models – DSP
11:45 – 12:30
Hands-on experience & industrial use cases
12:30 – 13:30
Lunch
13:30 – 14:30
Bayesian optimization for experimental design
14:30 – 15:15
Digital Twins and real time applications
15:30 – 16:00
DataHowLab Demo
16:00 – 18:00
Mini Hackathon
Course Fees
Students: USD 850
The course is available to students upon request.
Academia: USD 2 225
The course is accessible to educators and researchers affiliated with universities.
Industry: USD 3 750
This course is tailored to professionals in (bio)processing spanning process development through manufacturing from industry.
The fee includes lecture and case study summaries in electronic formats as well as the cost of all communication platforms and software packages used in the course.