Wednesday, November 13th (14:00 – 18:00 CET)
Advanced Course (Day 1): Multivariate Data Analysis (MVDA) Methods
14:00 – 14:30
Introduction of the lecturing team and participants
14:30-15:30
Motivation for MVDA and process data specialties
15:45 – 17:00
PCA and Missing Data Handling
17:00 – 18:00
Hands-on Experience & Industrial Use Cases
Thursday, November 14th (14:00 – 18:45 CET)
Advanced Course (Day 2): Advanced MVDA Methods
14:00 – 14:45
Multivariate regression – MLR, PCR, PLSR
14:45 – 15:45
PLS2 and Variable Importance
16:00 – 16:50
Decision Trees, Software Landscape for process digitalization
16:50 – 17:30
Why do we need non-linear process models?
17:30 – 18:45
Hands-on Experience & Industrial Use Cases
Friday, November 15th (14:00 – 18:30 CET)
Advanced Course (Day 3): Machine Learning (ML) Methods
14:00 – 15:00
Introduction to Machine Learning
15:00 – 16:00
Examples of Machine Learning tools
16:15 – 17:30
Gaussian Processes
17:30 – 18:30
Hands-on Experience & Industrial Use Cases
Wednesday, November 20th (14:00 – 18:30 CET)
Advanced Course (Day 4): Combination of Data- and Knowledge-driven Approaches
14:00 – 15:00
Basic Principles of Hybrid Models
15:15 – 16:45
Examples of Hybrid Models (USP and continuous processes)
17:00 – 18:30
Hands-on Experience & Industrial Use Cases
Thursday, November 21st (14:00 – 18:15 CET)
Advanced Course (Day 5): Applications of Smart Digital Solutions in Bioprocessing
14:00 – 14:30
Digital Twins in bioprocessing
14:30 – 15:30
Examples of Hybrid Models (DSP)
15:45 – 17:00
Machine Learning models for Spectral Data, Kalman and Particle Filters
17:00 – 18:15
Hands-on Experience & Industrial Use Cases
Friday, November 22nd (14:00 – 18:45 CET)
Advanced Course (Day 6): Smart Digital Solutions to Support Decision Making
14:00 – 14:45
Bayesian Inference and Model-based Experimental Design
14:45 – 15:30
Application for Parallel and Robotic reactor systems
15:30 – 16:15
Robustness analysis and Model-based Process Optimization
16:30 – 18:30
Mini Hackathon
18:30 – 18:45
Feedback & Certificates
Course Fees
Students: CHF 700.00
The course is available to students upon request.
Academia: CHF 1’750.00
The course is accessible to educators and researchers affiliated with universities.
Industry: CHF 2’950.00
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.