Monday, October 26 (14:00 – 18:00 CET)
Advanced Course (Day 1): Multivariate Data Analysis (MVDA) Methods
14:00 – 14:30
Introduction of the lecturing team, program and participants
14:30-15:30
Motivation for MVDA and process data specialties
15:45 – 17:00
PCA, Missing Data Handling, Quiz
17:00 – 18:00
Hands-on Experience & Industrial Use Cases
Tuesday, October 27 (14:00 – 18:45 CET)
Advanced Course (Day 2): Advanced MVDA Methods
14:00 – 14:45
Multivariate regression – MLR, PCR, PLSR
14:45 – 15:15
PLS2
15:30 – 16:15
Variable Importance + Quiz
16:15 – 17:00
Why do we need non-linear process models?
17:15 – 18:45
Hands-on Experience & Industrial Use Cases (Use Case Team)
Wednesday, October 28 (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 + Quiz
16:15 – 17:30
Gaussian Processes
17:30 – 18:30
Hands-on Experience & Industrial Use Cases
Monday, November 2 (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) + Quiz
17:00 – 18:30
Hands-on Experience & Industrial Use Cases
Tuesday, November 3 (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 – 16:45
Machine Learning Models for Spectral Data, Kalman and Particle Filters
16:45 – 17:00
Kalman and Particle Filters
17:00 – 18:15
Hands-on Experience & Industrial Use Cases
Wednesday, November 12th (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 – 16:00
DataHowLab Intro
16:15 – 18:15
Mini Hackathon (Use Case Team)
18:15 – 18:30
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.