Batch Process Modelling using SIMCA®
Who should attend: Intended for researchers, scientists and engineers from all sectors of biopharma with a lot of process understanding but with no or limited statistical background. Typical applications include product development, process improvement/optimization, investigations of deviation and scale-up of processes.
Topics included:
- Introduction to batch methodology and modelling concept
- Raw data analysis: How to find reliable data
- Background of statistical methods applied
- Modeling of Batch evolution and Model interpretation
- Transferring models into SIMCA®-online
- The course slides contain many practical hints to make modelling easy
Course objective:
The objective of this course is to guide the attendees through their journey from a process data set to a multivariate monitoring model based on their process data. Multivariate data tables are translated into interpretable charts and plots which simplifies the process monitoring as well as analysis of process deviations. Multivariate technology is the science of separating the signal from the noise in data with many variables and presenting the results in a simple graphical format. Quickly go from a complicated table of numbers to a simple plot of the essentials. The key to unlocking the information in your data lies in the correlations among the variables, not in the variables themselves.
Who Should Attend
Intended for researchers, scientists and engineers from all sectors of biopharma with a lot of process understanding but with no or limited statistical background. Typical applications include product development, process improvement/optimization, investigations of deviation and scale-up of processes.
Course Overview
Selected Course Content
- Introduction to batch methodology and modelling concept
- Raw data analysis: How to find reliable data
- Background of statistical methods applied
- Modeling of Batch evolution and Model interpretation
- Transferring models into SIMCA®-online
- The course slides contain many practical hints to make modelling easy
Course Objective
This course aims to guide the attendees through their journey from a process data set to a multivariate monitoring model based on their process data. Multivariate data tables are translated into interpretable charts and plots which simplifies the process monitoring as well as analysis of process deviations. Multivariate technology is the science of separating the signal from the noise in data with many variables and presenting the results in a simple graphical format. Quickly go from a complicated table of numbers to a simple plot of the essentials. The key to unlocking the information in your data lies in the correlations among the variables, not in the variables themselves.
Course Duration and Venue
Venue of the course:
Due to the current pandemic, we are offering a lot of our courses as online courses. In Asia, some courses are offered onsite. Click here to see all upcoming courses and locations.
Course dates:
For the time being, we are offering different setups depending on the location of the course. Please click on the course you want to attend to see more details.
Dates:
Seminar fee:
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