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For more information and to register, please click on a course title. You can also register by telephone, fax or email.
Design of Experiments, General
Start date: Wednesday, February 10, 2010 (week 6)
Language: English
Price: $1,795 US
Last day to register:
2010-01-20
Design of Experiments
Design of experiments is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using a minimum of resources. Discover how to optimise your company's experiments, products and processes for increased throughput and enhanced profitability.
The course splits between lectures and hands-on analysis of real data using Umetrics' state-of-the-art software package MODDE.
After completing the course, participants will know how to:
| • |
Create efficient designs to match the experimental objectives. |
| • |
Analyze experimental data using sound statistical principles. |
| • |
Improve and optimize products and processes. |
| • |
Report results in a simple graphical format. |
| • |
Design, measure, analyze, interpret, and optimize. |
| • |
Construct predictive models and apply them in practice |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Course start.
How and when should design of experiments be used? Problem formulation, selection of goals, factors, responses, type of model and design.
Full factorials, the basis of other designs. Analysis of full factorial designs I, evaluation of raw data, regression analysis and model interpretation.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 09:00 |
Analysis of full factorials II. Fault detection.
Screening designs, which factors dominate and what are their optimal ranges.
What to do after screening, optimization or modification of the design. Optimization designs, how do we find an optimum or a compromise?
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 09:00 |
Robustness testing, verification that the method or process is robust within given specifications.
Exercises using participants' or Umetrics' examples.
Discussion of participants' own data including creation of new designs.
Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Course fee includes coffee, lunch, and course documentation. Course registration is binding. Cancellations received within two weeks of the course start date will forfeit the entire course fee. If the customer cancels prior to 14 days of the course, 20% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 15%. Also if you are more than three participants from one company booking the same course date you will receive a 10% DISCOUNT/person.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/10093
|
Process Analytical Technology
Start date: Tuesday, March 02, 2010 (week 9)
Language: English
Price: $1,795 US
Last day to register:
2010-02-09
Multivariate Analysis for PAT
This course introduces PAT (Process Analytical Technologies) as it applies in the pharmaceutical and biotech industries, and the objectives of PAT. This three-day course is dedicated to the multivariate methods and applications essential for development of process understanding and execution of PAT projects. The course covers PAT in both Process R&D and Manufacturing with the emphasis on chemometrics, analytical and IT aspects, and is illustrated by real life examples.
The topics covered include analysis of raw material variation, MV calibration, batch analysis and design of experiments. Applications include MV calibration, end point detection, multivariate monitoring (real-time MSPC) of batch processes, identification of critical process parameters, prediction of quality and a methodology for modeling complete production trains. There is also discussion of data infrastructure requirements that enable these types of analysis.
Chemometrics tools essential to PAT, i.e., PCA, PLS, Multivariate Calibration, Classification, Batch Modeling and Design of Experiments (DoE) are worked through and organized into the four levels of PAT.
The topics of data integration and IT, and the required infrastructure are addressed as well as Regulatory aspects.
After completing the course, each participant will be able to:
| • |
Identify critical process parameters |
| • |
Evaluate manufacturing performance for quality investigations |
| • |
Understand the technology required to accomplish PAT objectives |
| • |
Quantify the influence of raw material and process variation on product quality |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 08:30 |
Introduction and presentation of three kinds of problems: overview, classification, and quantification and prediction. Principal Component Analysis (PCA) for overview of data tables: variable scaling, geometrical interpretation, and model evaluation. PCA examples: quality control of manufacturing, process control (SPC) and environmental monitoring.
Computer exercises followed by discussion. |
| 17:00 |
End of lectures and exercises |
| Day two |
| 08:30 |
Partial Least Squares (PLS): prediction of responses Y from inputs X e.g. spectra, process variables etc.
Variable scaling, geometrical interpretation, algebraic solution and model evaluation.
Multivariate characterisation: quantification of qualitative differences (batches of raw material, chemicals, suppliers). Multivariate calibration: prediction of chemical contents from spectroscopic data.
PLS examples: NIR calibration of API concentration in tablets, mixing of two powders.
Computer exercises followed by discussion. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 8:30 |
Multivariate batch modelling.
Computer exercises on API manufacture and reaction monitoring. Multivariate process modelling.
Computer exercises and analysis of student data.
Course summary. |
| 17:00 |
End of course |
Cost and conditions
Course fee includes coffee, lunch, and course documentation. Course registration is binding. Cancellations received within two weeks of the course start date will forfeit the entire course fee. If the customer cancels prior to 14 days of the course, 20% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 15%. Also if you are more than three participants from one company booking the same course date you will receive a 10% DISCOUNT/person.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/10100
|
Design of Experiments, General
Start date: Tuesday, March 02, 2010 (week 9)
Language: Swedish
Price: 12000 SEK
Last day to register:
2010-02-09
Design of Experiments
Design of experiments is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using a minimum of resources. Discover how to optimise your company's experiments, products and processes for increased throughput and enhanced profitability.
The course splits between lectures and hands-on analysis of real data using Umetrics' state-of-the-art software package MODDE.
After completing the course, participants will know how to:
| • |
Create efficient designs to match the experimental objectives. |
| • |
Analyse experimental data using sound statistical principles. |
| • |
Improve and optimise products and processes. |
| • |
Report results in a simple graphical format. |
| • |
Design, measure, analyse, interpret, and optimize. |
| • |
Construct predictive models and apply them in practice |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Course start.
How and when should design of experiments be used? Problem formulation, selection of goals, factors, responses, type of model and design.
Full factorials, the basis of other designs. Analysis of full factorial designs I, evaluation of raw data, regression analysis and model interpretation.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 09:00 |
Analysis of full factorials II. Fault detection.
Screening designs, which factors dominate and what are their optimal ranges.
What to do after screening, optimization or modification of the design. Optimization designs, how do we find an optimum or a compromise?
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 09:00 |
Robustness testing, verification that the method or process is robust within given specifications.
Exercises using participants' or Umetrics' examples.
Discussion of participants' own data including creation of new designs.
Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2417
|
Spectroscopic Applications with Simca-P+
Start date: Friday, March 05, 2010 (week 9)
Language: English
Price: $450
Last day to register:
2010-02-12
Spectroscopic Applications with Simca-P: Course and Applications Workshop
This one day course will discuss the use of chemometrics and SIMCA-P software for spectral data sets. Qualitative and quantitative methods will be covered. Trial copies of SIMCA-P will be provided. Attendees are encouraged to bring their own data sets to work on.
Instructor:
Frederick H. Long, Ph.D.
President, Spectroscopic Solutions, LLC
Dr. Long founded Spectroscopic Solutions, a PAT consulting and training firm, in 2001. His firm has done work for numerous pharmaceutical and consumer health companies including GSK, Novartis, Schering-Plough, Johnson & Johnson, Colgate-Palmolive, Actevis (world’s third largest generic drug firm). Dr. Long received his Ph.D. in Chemical Physics from Columbia University and a S.B. and S.M. in Physics from MIT.
After completing the course, each participant will be able to:
| • |
Analyze their spectroscopic data |
| • |
Produce validated calibration models using spectral information |
Who should participate?
The course is designed for chemists and engineers that need to use multivariate analysis with spectrometer data.
| Course Schedule testing how far over |
| Topics Include: |
Review of SIMCA-P operation, PCA and PLS
Spectral pre-processing
Method Evaluations and Optimization
New Features of Simca-P+ Version 12 |
Cost and conditions
Course fee includes course documentation. To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/10102
|
Design of Experiments, General
Start date: Tuesday, March 09, 2010 (week 10)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-02-16
Design of Experiments
Design of experiments is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using a minimum of resources. Discover how to optimise your company's experiments, products and processes for increased throughput and enhanced profitability.
The course splits between lectures and hands-on analysis of real data using Umetrics' state-of-the-art software package MODDE.
After completing the course, participants will know how to:
| • |
Create efficient designs to match the experimental objectives. |
| • |
Analyse experimental data using sound statistical principles. |
| • |
Improve and optimise products and processes. |
| • |
Report results in a simple graphical format. |
| • |
Design, measure, analyse, interpret, and optimize. |
| • |
Construct predictive models and apply them in practice |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Course start.
How and when should design of experiments be used? Problem formulation, selection of goals, factors, responses, type of model and design.
Full factorials, the basis of other designs. Analysis of full factorial designs I, evaluation of raw data, regression analysis and model interpretation.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 09:00 |
Analysis of full factorials II. Fault detection.
Screening designs, which factors dominate and what are their optimal ranges.
What to do after screening, optimization or modification of the design. Optimization designs, how do we find an optimum or a compromise?
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 09:00 |
Robustness testing, verification that the method or process is robust within given specifications.
Exercises using participants' or Umetrics' examples.
Discussion of participants' own data including creation of new designs.
Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2419
|
Multivariate Data Analysis, General
Start date: Tuesday, March 09, 2010 (week 10)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-02-16
Multivariate Analysis, General
Using the latest multivariate techniques, participants will learn how to interpret complex data quickly and confidently. Discover the secrets of overviewing data tables and also learn how to build robust predictive models that turn data into decisions.
The course is composed of lectures, demonstrations and computer exercises in software SIMCA-P+, based on real-life datasets.
After completing the course, participants will know how to:
| • |
Apply PCA (Principal Component Analysis) to detect outliers, trends, patterns and to classify groups within complex data |
| • |
Relate multiple responses to multiple inputs using PLS (Partial Least Squares) modelling |
| • |
Interpret models to gain scientific insights |
| • |
Learn how to construct predictive models and apply them in practice. Use multivariate calibration to predict and improve quality |
| • |
Classification of raw materials and ingredients |
| • |
Analysing a multivariate problem. |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 9:00 |
Introduction and presentation of the need for multivariate data analysis. Introduction to three kinds of problem: overview, classification, and quantification and prediction.
Principal Component Analysis (PCA) for over-views of data tables: variable scaling, geometrical interpretation, and model evaluation.
PCA examples: quality control of manufacturing, process control (SPC) and environmental monitoring.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 9:00 |
Partial Least Squares (PLS): prediction of responses Y from control parameters X.
Variable scaling, geometrical interpretation, algebraic solution and model evaluation.
Model diagnoses and validation of a PLS model.
PLS examples: process and quality control.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 9:00 |
Multivariate calibration: prediction of chemical contents from spectroscopic data. Multivariate classification; two types of classification techniques will be discussed; SIMCA classification and PLS-DA (discriminant analysis). Exercises and discussion of participants’ own data. Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2422
|
Design of Experiments, General
Start date: Tuesday, March 16, 2010 (week 11)
Language: Swedish
Price: 12000 SEK
Last day to register:
2010-02-23
Design of Experiments
Design of experiments is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using a minimum of resources. Discover how to optimise your company's experiments, products and processes for increased throughput and enhanced profitability.
The course splits between lectures and hands-on analysis of real data using Umetrics' state-of-the-art software package MODDE.
After completing the course, participants will know how to:
| • |
Create efficient designs to match the experimental objectives. |
| • |
Analyse experimental data using sound statistical principles. |
| • |
Improve and optimise products and processes. |
| • |
Report results in a simple graphical format. |
| • |
Design, measure, analyse, interpret, and optimize. |
| • |
Construct predictive models and apply them in practice |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Course start.
How and when should design of experiments be used? Problem formulation, selection of goals, factors, responses, type of model and design.
Full factorials, the basis of other designs. Analysis of full factorial designs I, evaluation of raw data, regression analysis and model interpretation.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 09:00 |
Analysis of full factorials II. Fault detection.
Screening designs, which factors dominate and what are their optimal ranges.
What to do after screening, optimization or modification of the design. Optimization designs, how do we find an optimum or a compromise?
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 09:00 |
Robustness testing, verification that the method or process is robust within given specifications.
Exercises using participants' or Umetrics' examples.
Discussion of participants' own data including creation of new designs.
Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2415
|
Design of Experiments, General
Start date: Tuesday, March 16, 2010 (week 11)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-02-23
Design of Experiments
Design of experiments is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using a minimum of resources. Discover how to optimise your company's experiments, products and processes for increased throughput and enhanced profitability.
The course splits between lectures and hands-on analysis of real data using Umetrics' state-of-the-art software package MODDE.
After completing the course, participants will know how to:
| • |
Create efficient designs to match the experimental objectives. |
| • |
Analyse experimental data using sound statistical principles. |
| • |
Improve and optimise products and processes. |
| • |
Report results in a simple graphical format. |
| • |
Design, measure, analyse, interpret, and optimize. |
| • |
Construct predictive models and apply them in practice |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Course start.
How and when should design of experiments be used? Problem formulation, selection of goals, factors, responses, type of model and design.
Full factorials, the basis of other designs. Analysis of full factorial designs I, evaluation of raw data, regression analysis and model interpretation.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 09:00 |
Analysis of full factorials II. Fault detection.
Screening designs, which factors dominate and what are their optimal ranges.
What to do after screening, optimization or modification of the design. Optimization designs, how do we find an optimum or a compromise?
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 09:00 |
Robustness testing, verification that the method or process is robust within given specifications.
Exercises using participants' or Umetrics' examples.
Discussion of participants' own data including creation of new designs.
Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+ VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. OBSERVE THAT OWN LAPTOPS IS REQUIERED FOR EXCERCISES. PROGRAM INSTALLATION INSTRUCTIONS WILL BE SENT OUT WITH THE FINAL COURSE INFORMATION. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s). If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2427
|
PAT - Process Analytical Technology with case studies from Pharmaceutical, Biotech Pharma and Chemical
Start date: Wednesday, April 07, 2010 (week 14)
Language: English
Price: $1,795 US
Last day to register:
2010-03-17
PAT - Process Analytical Technology with case studies from Pharmaceutical, Biotech Pharma and Chemical
The methods that will be introduced and discussed have been developed to account for the fact that almost every problem in R&D is multivariate in nature. That is, there exists a multitude of variables that jointly and simultaneously influence each other.
The course will include both tutorial lectures and practical exercises using the well-established material from Umetrics, using SIMCA-P+ software. The attendees will also be given the opportunity to ventilate their own problems.
After completing the course, each participant will be able to:
| • |
Understand the theory behind modeling of multivariate data |
| • |
Use SIMCA-P+ to model and interpret multivariate data |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 08:30 |
Introduction & Need for Multivariate Data Analysis
Principal components analysis
- The Method
- Example
- Diagnostics
- Usage
Introduction to SIMCA-P +
Analyzing Data in SIMCA-P+
- Importing Data and Quick Info
- Preparing the Model: the Workset
Computer exercises followed by discussions |
| 17:00 |
End of lectures and exercises |
| Day two |
| 08:30 |
PCA Model
Prepare the workset
- Fit and Review the Model
- Interpret the scores and loadings plots
- Diagnostics and contribution plots
- Update model
- Predictions
- PCA Examples
Labs
Introduction to PCR and PLS
PLS
- The Method
- Small Example
Computer exercises followed by discussions |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 8:30 |
Plots and Diagnostics
- Example (Enviro)
- Analyzing PLS data
- Fit and Review Fit
- Interpret the scores and loadings
- Diagnostics and contribution plots
- Understand the relationship
- Update the model
- Predictions
- Examples
Case studies from Pharmaceutical, Biotech Pharma and Chemical
Conclusion
Labs |
| 17:00 |
End of course |
Cost and conditions
Course fee includes coffee, lunch, and course documentation. Course registration is binding. Cancellations received within two weeks of the course start date will forfeit the entire course fee. If the customer cancels prior to 14 days of the course, 20% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 15%. Also if you are more than three participants from one company booking the same course date you will receive a 10% DISCOUNT/person.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/10094
|
Design of Experiments, General
United Kingdom, United Kingdom
| |
Start date: Tuesday, April 13, 2010 (week 15)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-03-23
Design of Experiments
Design of experiments is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using a minimum of resources. Discover how to optimise your company's experiments, products and processes for increased throughput and enhanced profitability.
The course splits between lectures and hands-on analysis of real data using Umetrics' state-of-the-art software package MODDE.
After completing the course, participants will know how to:
| • |
Create efficient designs to match the experimental objectives. |
| • |
Analyse experimental data using sound statistical principles. |
| • |
Improve and optimise products and processes. |
| • |
Report results in a simple graphical format. |
| • |
Design, measure, analyse, interpret, and optimize. |
| • |
Construct predictive models and apply them in practice |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Course start.
How and when should design of experiments be used? Problem formulation, selection of goals, factors, responses, type of model and design.
Full factorials, the basis of other designs. Analysis of full factorial designs I, evaluation of raw data, regression analysis and model interpretation.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 09:00 |
Analysis of full factorials II. Fault detection.
Screening designs, which factors dominate and what are their optimal ranges.
What to do after screening, optimization or modification of the design. Optimization designs, how do we find an optimum or a compromise?
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 09:00 |
Robustness testing, verification that the method or process is robust within given specifications.
Exercises using participants' or Umetrics' examples.
Discussion of participants' own data including creation of new designs.
Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2428
|
Multivariate Data Analysis, General
Start date: Tuesday, April 13, 2010 (week 15)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-03-23
Multivariate Analysis, General
Using the latest multivariate techniques, participants will learn how to interpret complex data quickly and confidently. Discover the secrets of overviewing data tables and also learn how to build robust predictive models that turn data into decisions.
The course is composed of lectures, demonstrations and computer exercises in software SIMCA-P+, based on real-life datasets.
After completing the course, participants will know how to:
| • |
Apply PCA (Principal Component Analysis) to detect outliers, trends, patterns and to classify groups within complex data |
| • |
Relate multiple responses to multiple inputs using PLS (Partial Least Squares) modelling |
| • |
Interpret models to gain scientific insights |
| • |
Learn how to construct predictive models and apply them in practice. Use multivariate calibration to predict and improve quality |
| • |
Classification of raw materials and ingredients |
| • |
Analysing a multivariate problem. |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 9:00 |
Introduction and presentation of the need for multivariate data analysis. Introduction to three kinds of problem: overview, classification, and quantification and prediction.
Principal Component Analysis (PCA) for over-views of data tables: variable scaling, geometrical interpretation, and model evaluation.
PCA examples: quality control of manufacturing, process control (SPC) and environmental monitoring.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 9:00 |
Partial Least Squares (PLS): prediction of responses Y from control parameters X.
Variable scaling, geometrical interpretation, algebraic solution and model evaluation.
Model diagnoses and validation of a PLS model.
PLS examples: process and quality control.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 9:00 |
Multivariate calibration: prediction of chemical contents from spectroscopic data. Multivariate classification; two types of classification techniques will be discussed; SIMCA classification and PLS-DA (discriminant analysis). Exercises and discussion of participants’ own data. Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2420
|
Multivariate Data Analysis, General
Start date: Tuesday, April 20, 2010 (week 16)
Language: Swedish
Price: 12000 SEK
Last day to register:
2010-03-30
Multivariate Analysis, General
Using the latest multivariate techniques, participants will learn how to interpret complex data quickly and confidently. Discover the secrets of overviewing data tables and also learn how to build robust predictive models that turn data into decisions.
The course is composed of lectures, demonstrations and computer exercises in software SIMCA-P+, based on real-life datasets.
After completing the course, participants will know how to:
| • |
Apply PCA (Principal Component Analysis) to detect outliers, trends, patterns and to classify groups within complex data |
| • |
Relate multiple responses to multiple inputs using PLS (Partial Least Squares) modelling |
| • |
Interpret models to gain scientific insights |
| • |
Learn how to construct predictive models and apply them in practice. Use multivariate calibration to predict and improve quality |
| • |
Classification of raw materials and ingredients |
| • |
Analysing a multivariate problem. |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 9:00 |
Introduction and presentation of the need for multivariate data analysis. Introduction to three kinds of problem: overview, classification, and quantification and prediction.
Principal Component Analysis (PCA) for over-views of data tables: variable scaling, geometrical interpretation, and model evaluation.
PCA examples: quality control of manufacturing, process control (SPC) and environmental monitoring.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 9:00 |
Partial Least Squares (PLS): prediction of responses Y from control parameters X.
Variable scaling, geometrical interpretation, algebraic solution and model evaluation.
Model diagnoses and validation of a PLS model.
PLS examples: process and quality control.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 9:00 |
Multivariate calibration: prediction of chemical contents from spectroscopic data. Multivariate classification; two types of classification techniques will be discussed; SIMCA classification and PLS-DA (discriminant analysis). Exercises and discussion of participants’ own data. Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2418
|
Design of Experiments, General
Start date: Tuesday, April 20, 2010 (week 16)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-03-30
Design of Experiments
Design of experiments is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using a minimum of resources. Discover how to optimise your company's experiments, products and processes for increased throughput and enhanced profitability.
The course splits between lectures and hands-on analysis of real data using Umetrics' state-of-the-art software package MODDE.
After completing the course, participants will know how to:
| • |
Create efficient designs to match the experimental objectives. |
| • |
Analyse experimental data using sound statistical principles. |
| • |
Improve and optimise products and processes. |
| • |
Report results in a simple graphical format. |
| • |
Design, measure, analyse, interpret, and optimize. |
| • |
Construct predictive models and apply them in practice |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Course start.
How and when should design of experiments be used? Problem formulation, selection of goals, factors, responses, type of model and design.
Full factorials, the basis of other designs. Analysis of full factorial designs I, evaluation of raw data, regression analysis and model interpretation.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 09:00 |
Analysis of full factorials II. Fault detection.
Screening designs, which factors dominate and what are their optimal ranges.
What to do after screening, optimization or modification of the design. Optimization designs, how do we find an optimum or a compromise?
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 09:00 |
Robustness testing, verification that the method or process is robust within given specifications.
Exercises using participants' or Umetrics' examples.
Discussion of participants' own data including creation of new designs.
Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2431
|
Design of Experiments, General
Start date: Tuesday, May 04, 2010 (week 18)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-04-13
Design of Experiments
Design of experiments is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using a minimum of resources. Discover how to optimise your company's experiments, products and processes for increased throughput and enhanced profitability.
The course splits between lectures and hands-on analysis of real data using Umetrics' state-of-the-art software package MODDE.
After completing the course, participants will know how to:
| • |
Create efficient designs to match the experimental objectives. |
| • |
Analyse experimental data using sound statistical principles. |
| • |
Improve and optimise products and processes. |
| • |
Report results in a simple graphical format. |
| • |
Design, measure, analyse, interpret, and optimize. |
| • |
Construct predictive models and apply them in practice |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Course start.
How and when should design of experiments be used? Problem formulation, selection of goals, factors, responses, type of model and design.
Full factorials, the basis of other designs. Analysis of full factorial designs I, evaluation of raw data, regression analysis and model interpretation.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 09:00 |
Analysis of full factorials II. Fault detection.
Screening designs, which factors dominate and what are their optimal ranges.
What to do after screening, optimization or modification of the design. Optimization designs, how do we find an optimum or a compromise?
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 09:00 |
Robustness testing, verification that the method or process is robust within given specifications.
Exercises using participants' or Umetrics' examples.
Discussion of participants' own data including creation of new designs.
Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+ VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. OBSERVE THAT OWN LAPTOPS IS REQUIERED FOR EXCERCISES. PROGRAM INSTALLATION INSTRUCTIONS WILL BE SENT OUT WITH THE FINAL COURSE INFORMATION. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s). If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2425
|
Multivariate Data Analysis, General
Start date: Tuesday, May 04, 2010 (week 18)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-04-13
Multivariate Analysis, General
Using the latest multivariate techniques, participants will learn how to interpret complex data quickly and confidently. Discover the secrets of overviewing data tables and also learn how to build robust predictive models that turn data into decisions.
The course is composed of lectures, demonstrations and computer exercises in software SIMCA-P+, based on real-life datasets.
After completing the course, participants will know how to:
| • |
Apply PCA (Principal Component Analysis) to detect outliers, trends, patterns and to classify groups within complex data |
| • |
Relate multiple responses to multiple inputs using PLS (Partial Least Squares) modelling |
| • |
Interpret models to gain scientific insights |
| • |
Learn how to construct predictive models and apply them in practice. Use multivariate calibration to predict and improve quality |
| • |
Classification of raw materials and ingredients |
| • |
Analysing a multivariate problem. |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 9:00 |
Introduction and presentation of the need for multivariate data analysis. Introduction to three kinds of problem: overview, classification, and quantification and prediction.
Principal Component Analysis (PCA) for over-views of data tables: variable scaling, geometrical interpretation, and model evaluation.
PCA examples: quality control of manufacturing, process control (SPC) and environmental monitoring.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 9:00 |
Partial Least Squares (PLS): prediction of responses Y from control parameters X.
Variable scaling, geometrical interpretation, algebraic solution and model evaluation.
Model diagnoses and validation of a PLS model.
PLS examples: process and quality control.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 9:00 |
Multivariate calibration: prediction of chemical contents from spectroscopic data. Multivariate classification; two types of classification techniques will be discussed; SIMCA classification and PLS-DA (discriminant analysis). Exercises and discussion of participants’ own data. Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2434
|
Introduction to Multivariate Analysis with case studies from Food, Petrochemical, Solar and Semiconductor
Start date: Wednesday, May 05, 2010 (week 18)
Language: English
Price: $1,795 US
Last day to register:
2010-04-14
Introduction to Multivariate Analysis with case studies from Food, Petrochemical, Solar and Semiconductor
The methods that will be introduced and discussed have been developed to account for the fact that almost every problem in R&D is multivariate in nature. That is, there exists a multitude of variables that jointly and simultaneously influence each other.
The course will include both tutorial lectures and practical exercises using the well-established material from Umetrics, using SIMCA-P+ software. The attendees will also be given the opportunity to ventilate their own problems.
After completing the course, each participant will be able to:
| • |
Understand the theory behind modeling of multivariate data |
| • |
Use SIMCA-P+ to model and interpret multivariate data |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 08:30 |
Introduction & Need for Multivariate Data Analysis
Principal components analysis
- The Method
- Example
- Diagnostics
- Usage
Introduction to SIMCA-P +
Analyzing Data in SIMCA-P+
- Importing Data and Quick Info
- Preparing the Model: the Workset
Computer exercises followed by discussions |
| 17:00 |
End of lectures and exercises |
| Day two |
| 08:30 |
PCA Model
Prepare the workset
- Fit and Review the Model
- Interpret the scores and loadings plots
- Diagnostics and contribution plots
- Update model
- Predictions
- PCA Examples
Labs
Introduction to PCR and PLS
PLS
- The Method
- Small Example
Computer exercises followed by discussions |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 8:30 |
Plots and Diagnostics
- Example (Enviro)
- Analyzing PLS data
- Fit and Review Fit
- Interpret the scores and loadings
- Diagnostics and contribution plots
- Understand the relationship
- Update the model
- Predictions
- Examples
Case studies from Food, Petrochemical, Solar and Semiconductor
Conclusion
Labs |
| 17:00 |
End of course |
Cost and conditions
Course fee includes coffee, lunch, and course documentation. Course registration is binding. Cancellations received within two weeks of the course start date will forfeit the entire course fee. If the customer cancels prior to 14 days of the course, 20% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 15%. Also if you are more than three participants from one company booking the same course date you will receive a 10% DISCOUNT/person.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/10095
|
Multivariate Data Analysis for Omics
United Kingdom, United Kingdom
| |
Start date: Tuesday, May 11, 2010 (week 19)
Language: English(UK)
Price: 995 EUR
Last day to register:
2010-04-20
Multivariate Analysis for "Omics"
Multivariate data analysis is essential in the process of extracting information from the complex data sets involved in “omics” studies. Discover how to build valid and predictive models based on data from genomic, proteomic and metabolomic studies, with the latest multivariate techniques. The focus on this course is how to use state-of art multivariate tools to extract putative biomarkers in a statistically significant way.
The course is composed of lectures, demonstrations and computer exercises using SIMCA-P+12 software on real-life datasets. Examples from plant biology and medicine will be used to highlight the usefulness of the applied strategies.
After completing the course, participants will know how to:
| • |
Insights on chemometrics strategies for ”omics” studies |
| • |
Apply PCA to detect outliers, trends and patterns in "omics" data |
| • |
An awareness of sources of variability and the effect on modeling and interpretation |
| • |
Understanding of how to use OPLS in classification |
| • |
Understanding on how to compare multiple treatments |
| • |
Understanding on how to apply multivariate tools for putative biomarker identification |
| • |
Validate models for robustness and predictability |
Who should participate?
The course is intended for researchers involved in “omics” studies with little or no knowledge in multivariate data analysis. The examples presented in the lectures are focused on MS- and NMR-based metabolomics, for consistency. The exercises include genomics, proteomics and metabolomics data sets so participants from different field can choose from their own interest. Practice on own data is also welcome and appreciated.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Introduction to multivariate data analysis
Principal component analysis, PCA
Apply PCA to detect outliers, trends and patterns in metabolomic data
Interpret models to gain scientific insights
Exercises in SIMCA-P+ |
| 17:00 |
End of lectures and exercises and course dinner |
| Day two |
| 09:00 |
From PCA to Orthogonal projections to latent structures, OPLS
Putative biomarkers identification using OPLS
How to compare multiple treatments
Validate models for robustness and predictability
Exercises in SIMCA-P+ and discussions
Course summary |
| 17:00 |
End of course |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2429
|
Design of Experiments, General
Start date: Tuesday, May 18, 2010 (week 20)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-04-27
Design of Experiments
Design of experiments is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using a minimum of resources. Discover how to optimise your company's experiments, products and processes for increased throughput and enhanced profitability.
The course splits between lectures and hands-on analysis of real data using Umetrics' state-of-the-art software package MODDE.
After completing the course, participants will know how to:
| • |
Create efficient designs to match the experimental objectives. |
| • |
Analyse experimental data using sound statistical principles. |
| • |
Improve and optimise products and processes. |
| • |
Report results in a simple graphical format. |
| • |
Design, measure, analyse, interpret, and optimize. |
| • |
Construct predictive models and apply them in practice |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Course start.
How and when should design of experiments be used? Problem formulation, selection of goals, factors, responses, type of model and design.
Full factorials, the basis of other designs. Analysis of full factorial designs I, evaluation of raw data, regression analysis and model interpretation.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 09:00 |
Analysis of full factorials II. Fault detection.
Screening designs, which factors dominate and what are their optimal ranges.
What to do after screening, optimization or modification of the design. Optimization designs, how do we find an optimum or a compromise?
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 09:00 |
Robustness testing, verification that the method or process is robust within given specifications.
Exercises using participants' or Umetrics' examples.
Discussion of participants' own data including creation of new designs.
Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2421
|
Design of Experiments, General
Start date: Tuesday, May 25, 2010 (week 21)
Language: Swedish
Price: 12000 SEK
Last day to register:
2010-05-04
Design of Experiments
Design of experiments is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using a minimum of resources. Discover how to optimise your company's experiments, products and processes for increased throughput and enhanced profitability.
The course splits between lectures and hands-on analysis of real data using Umetrics' state-of-the-art software package MODDE.
After completing the course, participants will know how to:
| • |
Create efficient designs to match the experimental objectives. |
| • |
Analyse experimental data using sound statistical principles. |
| • |
Improve and optimise products and processes. |
| • |
Report results in a simple graphical format. |
| • |
Design, measure, analyse, interpret, and optimize. |
| • |
Construct predictive models and apply them in practice |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Course start.
How and when should design of experiments be used? Problem formulation, selection of goals, factors, responses, type of model and design.
Full factorials, the basis of other designs. Analysis of full factorial designs I, evaluation of raw data, regression analysis and model interpretation.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 09:00 |
Analysis of full factorials II. Fault detection.
Screening designs, which factors dominate and what are their optimal ranges.
What to do after screening, optimization or modification of the design. Optimization designs, how do we find an optimum or a compromise?
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 09:00 |
Robustness testing, verification that the method or process is robust within given specifications.
Exercises using participants' or Umetrics' examples.
Discussion of participants' own data including creation of new designs.
Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2416
|
Multivariate Data Analysis, General
Start date: Tuesday, June 01, 2010 (week 22)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-05-11
Multivariate Analysis, Basic
Using the latest multivariate techniques, participants will learn how to interpret complex data quickly and confidently. Discover the secrets of overviewing data tables and also learn how to build robust predictive models that turn data into decisions.
The course is composed of lectures, demonstrations and computer exercises in software SIMCA-P+, based on real-life datasets.
After completing the course, participants will know how to:
| • |
Apply PCA (Principal Component Analysis) to detect outliers, trends, patterns and to classify groups within complex data |
| • |
Relate multiple responses to multiple inputs using PLS (Partial Least Squares) modelling |
| • |
Interpret models to gain scientific insights |
| • |
Learn how to construct predictive models and apply them in practice. Use multivariate calibration to predict and improve quality |
| • |
Classification of raw materials and ingredients |
| • |
Analysing a multivariate problem. |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 9:00 |
Introduction and presentation of the need for multivariate data analysis. Introduction to three kinds of problem: overview, classification, and quantification and prediction.
Principal Component Analysis (PCA) for over-views of data tables: variable scaling, geometrical interpretation, and model evaluation.
PCA examples: quality control of manufacturing, process control (SPC) and environmental monitoring.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 9:00 |
Partial Least Squares (PLS): prediction of responses Y from control parameters X.
Variable scaling, geometrical interpretation, algebraic solution and model evaluation.
Model diagnoses and validation of a PLS model.
PLS examples: process and quality control.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 9:00 |
Multivariate calibration: prediction of chemical contents from spectroscopic data. Multivariate classification; two types of classification techniques will be discussed; SIMCA classification and PLS-DA (discriminant analysis). Exercises and discussion of participants’ own data. Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+ VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. OBSERVE THAT OWN LAPTOPS IS REQUIERED FOR EXCERCISES. PROGRAM INSTALLATION INSTRUCTIONS WILL BE SENT OUT WITH THE FINAL COURSE INFORMATION. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s). If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2426
|
Design of Experiments, General
Start date: Tuesday, June 08, 2010 (week 23)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-05-18
Design of Experiments
Design of experiments is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using a minimum of resources. Discover how to optimise your company's experiments, products and processes for increased throughput and enhanced profitability.
The course splits between lectures and hands-on analysis of real data using Umetrics' state-of-the-art software package MODDE.
After completing the course, participants will know how to:
| • |
Create efficient designs to match the experimental objectives. |
| • |
Analyse experimental data using sound statistical principles. |
| • |
Improve and optimise products and processes. |
| • |
Report results in a simple graphical format. |
| • |
Design, measure, analyse, interpret, and optimize. |
| • |
Construct predictive models and apply them in practice |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Course start.
How and when should design of experiments be used? Problem formulation, selection of goals, factors, responses, type of model and design.
Full factorials, the basis of other designs. Analysis of full factorial designs I, evaluation of raw data, regression analysis and model interpretation.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 09:00 |
Analysis of full factorials II. Fault detection.
Screening designs, which factors dominate and what are their optimal ranges.
What to do after screening, optimization or modification of the design. Optimization designs, how do we find an optimum or a compromise?
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 09:00 |
Robustness testing, verification that the method or process is robust within given specifications.
Exercises using participants' or Umetrics' examples.
Discussion of participants' own data including creation of new designs.
Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2423
|
Introduction to Multivariate Analysis with case studies from Food, Petrochemical, Solar and Semiconductor
Start date: Tuesday, June 08, 2010 (week 23)
Language: English
Price: $1,795 US
Last day to register:
2010-05-18
Introduction to Multivariate Analysis with case studies from Food, Petrochemical, Solar and Semiconductor
The methods that will be introduced and discussed have been developed to account for the fact that almost every problem in R&D is multivariate in nature. That is, there exists a multitude of variables that jointly and simultaneously influence each other.
The course will include both tutorial lectures and practical exercises using the well-established material from Umetrics, using SIMCA-P+ software. The attendees will also be given the opportunity to ventilate their own problems.
After completing the course, each participant will be able to:
| • |
Understand the theory behind modeling of multivariate data |
| • |
Use SIMCA-P+ to model and interpret multivariate data |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 08:30 |
Introduction & Need for Multivariate Data Analysis
Principal components analysis
- The Method
- Example
- Diagnostics
- Usage
Introduction to SIMCA-P +
Analyzing Data in SIMCA-P+
- Importing Data and Quick Info
- Preparing the Model: the Workset
Computer exercises followed by discussions |
| 17:00 |
End of lectures and exercises |
| Day two |
| 08:30 |
PCA Model
Prepare the workset
- Fit and Review the Model
- Interpret the scores and loadings plots
- Diagnostics and contribution plots
- Update model
- Predictions
- PCA Examples
Labs
Introduction to PCR and PLS
PLS
- The Method
- Small Example
Computer exercises followed by discussions |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 8:30 |
Plots and Diagnostics
- Example (Enviro)
- Analyzing PLS data
- Fit and Review Fit
- Interpret the scores and loadings
- Diagnostics and contribution plots
- Understand the relationship
- Update the model
- Predictions
- Examples
Case studies from Food, Petrochemical, Solar and Semiconductor
Conclusion
Labs |
| 17:00 |
End of course |
Cost and conditions
Course fee includes coffee, lunch, and course documentation. Course registration is binding. Cancellations received within two weeks of the course start date will forfeit the entire course fee. If the customer cancels prior to 14 days of the course, 20% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 15%. Also if you are more than three participants from one company booking the same course date you will receive a 10% DISCOUNT/person.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/10096
|
Multivariate Analysis of Fermentation Data
Start date: Tuesday, June 15, 2010 (week 24)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-05-25
Multivariate Analysis of Fermentation Data (3 days)
Using the latest multivariate techniques, participants will learn how to interpret complex data quickly and confidently. Discover the secrets of overviewing data tables and also learn how to build robust predictive models that turn data into decisions.
Course objective:
The objective of this course is to teach the attendees how to convert data collected on fermentation processes from data tables to interpretable figures via multivariate models.
Selected course contents:
| • |
Organization, vizualisation and treatment of different types of data |
| • |
Multivariate data modelling and diagnostics |
| • |
Modeling of Batch evolution and batch-to-batch variation |
| • |
Model interpretation |
| • |
Possibilities for on-line process monitoring |
|
|
Who should participate?
The course is intended for researchers, scientists and engineers working in upstream fermentation development and production who are interested in gaining maximum information from their data.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 9:00 |
Focus on objectives and values of models.
After the first day the attendee should know what batch modeling is, potentials and values.
» Values, Objectives and Possibilities for Multivariate Batch modeling and monitoring
• QbD in Fermentation
» Problem formulation
• Data sources, expression and use of data- what is data and what is a model?
» Intro to Multivariate data analysis, PCA and PLS
• Multivariate batch modeling
• Properties of batch data
» Demo and Exercises |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 9:00 |
Modeling and Focus on data sources and values.
After the second day the attendees should know which data sources to use and how, how to build a multivariate
model and how to interpret it.
» Model diagnostics and validation
» Use of models for prediction
» Multi-step/ phase processes
» Demo and Exercises
• Participants are encouraged to bring their own data |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 9:00 |
How to critically work with historical data and possibilities to use spectroscopic
data.
After the third day the attendee should know how to model data from their own processes, how to plan experiments and select representative data from historical data bases.
» Combining multiple data sources
» DoE Intro
• DoE in lab scale fermentor- development
• DoE for design space
» Efficient use of historical data
• Selection techniques, selection of batches for modeling of historical data |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2432
|
Multivariate Data Analysis, General
United Kingdom, United Kingdom
| |
Start date: Tuesday, June 15, 2010 (week 24)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2010-05-25
Multivariate Analysis, General
Using the latest multivariate techniques, participants will learn how to interpret complex data quickly and confidently. Discover the secrets of overviewing data tables and also learn how to build robust predictive models that turn data into decisions.
The course is composed of lectures, demonstrations and computer exercises in software SIMCA-P+, based on real-life datasets.
After completing the course, participants will know how to:
| • |
Apply PCA (Principal Component Analysis) to detect outliers, trends, patterns and to classify groups within complex data |
| • |
Relate multiple responses to multiple inputs using PLS (Partial Least Squares) modelling |
| • |
Interpret models to gain scientific insights |
| • |
Learn how to construct predictive models and apply them in practice. Use multivariate calibration to predict and improve quality |
| • |
Classification of raw materials and ingredients |
| • |
Analysing a multivariate problem. |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 9:00 |
Introduction and presentation of the need for multivariate data analysis. Introduction to three kinds of problem: overview, classification, and quantification and prediction.
Principal Component Analysis (PCA) for over-views of data tables: variable scaling, geometrical interpretation, and model evaluation.
PCA examples: quality control of manufacturing, process control (SPC) and environmental monitoring.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day two |
| 9:00 |
Partial Least Squares (PLS): prediction of responses Y from control parameters X.
Variable scaling, geometrical interpretation, algebraic solution and model evaluation.
Model diagnoses and validation of a PLS model.
PLS examples: process and quality control.
Computer exercises followed by discussions. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 9:00 |
Multivariate calibration: prediction of chemical contents from spectroscopic data. Multivariate classification; two types of classification techniques will be discussed; SIMCA classification and PLS-DA (discriminant analysis). Exercises and discussion of participants’ own data. Course summary. |
| 15:00 |
End of course. |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2430
|
Multivariate Data Analysis for Omics
Start date: Tuesday, July 06, 2010 (week 27)
Language: English(UK)
Price: 995 EUR
Last day to register:
2010-06-15
Multivariate Analysis for "Omics"
Multivariate data analysis is essential in the process of extracting information from the complex data sets involved in “omics” studies. Discover how to build valid and predictive models based on data from genomic, proteomic and metabolomic studies, with the latest multivariate techniques. The focus on this course is how to use state-of art multivariate tools to extract putative biomarkers in a statistically significant way.
The course is composed of lectures, demonstrations and computer exercises using SIMCA-P+12 software on real-life datasets. Examples from plant biology and medicine will be used to highlight the usefulness of the applied strategies.
After completing the course, participants will know how to:
| • |
Insights on chemometrics strategies for ”omics” studies |
| • |
Apply PCA to detect outliers, trends and patterns in "omics" data |
| • |
An awareness of sources of variability and the effect on modeling and interpretation |
| • |
Understanding of how to use OPLS in classification |
| • |
Understanding on how to compare multiple treatments |
| • |
Understanding on how to apply multivariate tools for putative biomarker identification |
| • |
Validate models for robustness and predictability |
Who should participate?
The course is intended for researchers involved in “omics” studies with little or no knowledge in multivariate data analysis. The examples presented in the lectures are focused on MS- and NMR-based metabolomics, for consistency. The exercises include genomics, proteomics and metabolomics data sets so participants from different field can choose from their own interest. Practice on own data is also welcome and appreciated.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 09:00 |
Introduction to multivariate data analysis
Principal component analysis, PCA
Apply PCA to detect outliers, trends and patterns in metabolomic data
Interpret models to gain scientific insights
Exercises in SIMCA-P+ |
| 17:00 |
End of lectures and exercises and course dinner |
| Day two |
| 09:00 |
From PCA to Orthogonal projections to latent structures, OPLS
Putative biomarkers identification using OPLS
How to compare multiple treatments
Validate models for robustness and predictability
Exercises in SIMCA-P+ and discussions
Course summary |
| 17:00 |
End of course |
Cost and conditions
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 17%. Also if you are more than three participants from one company booking the same course date you will receive an 8% DISCOUNT/person.
Course fee (+VAT) includes coffee, lunch and course documentation. An invoice will be sent and payment is required within 30 days of the invoice date. Course application is binding. Cancellations registered later than two weeks before the course start will not be refunded. Provided that Umetrics AB is notified, the registering company may substitute its participant(s).
If the customer cancels prior to 14 days of the course, 10% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2424
|
Free Half Day Multivariate Analysis at Semicon West 2010
PAT - Process Analytical Technology with case studies from Pharmaceutical, Biotech Pharma and Chemical
Start date: Wednesday, September 22, 2010 (week 38)
Language: English
Price: $1,795 US
Last day to register:
2010-09-01
PAT - Process Analytical Technology with case studies from Pharmaceutical, Biotech Pharma and Chemical
The methods that will be introduced and discussed have been developed to account for the fact that almost every problem in R&D is multivariate in nature. That is, there exists a multitude of variables that jointly and simultaneously influence each other.
The course will include both tutorial lectures and practical exercises using the well-established material from Umetrics, using SIMCA-P+ software. The attendees will also be given the opportunity to ventilate their own problems.
After completing the course, each participant will be able to:
| • |
Understand the theory behind modeling of multivariate data |
| • |
Use SIMCA-P+ to model and interpret multivariate data |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 08:30 |
Introduction & Need for Multivariate Data Analysis
Principal components analysis
- The Method
- Example
- Diagnostics
- Usage
Introduction to SIMCA-P +
Analyzing Data in SIMCA-P+
- Importing Data and Quick Info
- Preparing the Model: the Workset
Computer exercises followed by discussions |
| 17:00 |
End of lectures and exercises |
| Day two |
| 08:30 |
PCA Model
Prepare the workset
- Fit and Review the Model
- Interpret the scores and loadings plots
- Diagnostics and contribution plots
- Update model
- Predictions
- PCA Examples
Labs
Introduction to PCR and PLS
PLS
- The Method
- Small Example
Computer exercises followed by discussions |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 8:30 |
Plots and Diagnostics
- Example (Enviro)
- Analyzing PLS data
- Fit and Review Fit
- Interpret the scores and loadings
- Diagnostics and contribution plots
- Understand the relationship
- Update the model
- Predictions
- Examples
Case studies from Pharmaceutical, Biotech Pharma and Chemical
Conclusion
Labs |
| 17:00 |
End of course |
Cost and conditions
Course fee includes coffee, lunch, and course documentation. Course registration is binding. Cancellations received within two weeks of the course start date will forfeit the entire course fee. If the customer cancels prior to 14 days of the course, 20% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 15%. Also if you are more than three participants from one company booking the same course date you will receive a 10% DISCOUNT/person.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/10097
|
Multivariate Analysis for Semiconductor, Solar and OEMs
Start date: Tuesday, October 19, 2010 (week 42)
Language: English
Price: $1,795 US
Last day to register:
2010-09-28
Multivariate Analysis for Semiconductor, Solar and OEMs
The methods that will be introduced and discussed have been developed to account for the fact that almost every problem in R&D is multivariate in nature. That is, there exists a multitude of variables that jointly and simultaneously influence each other.
The course will include both tutorial lectures and practical exercises using the well-established material from Umetrics, using SIMCA-P+ software. The attendees will also be given the opportunity to ventilate their own problems.
After completing the course, each participant will be able to:
| • |
Understand the theory behind modeling of multivariate data |
| • |
Use SIMCA-P+ to model and interpret multivariate data |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 08:30 |
Introduction & Need for Multivariate Data Analysis
Principal components analysis
- The Method
- Example
- Diagnostics
- Usage
Introduction to SIMCA-P +
Analyzing Data in SIMCA-P+
- Importing Data and Quick Info
- Preparing the Model: the Workset
Computer exercises followed by discussions |
| 17:00 |
End of lectures and exercises |
| Day two |
| 08:30 |
PCA Model
Prepare the workset
- Fit and Review the Model
- Interpret the scores and loadings plots
- Diagnostics and contribution plots
- Update model
- Predictions
- PCA Examples
Labs
Introduction to PCR and PLS
PLS
- The Method
- Small Example
Computer exercises followed by discussions |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 8:30 |
Plots and Diagnostics
- Example (Enviro)
- Analyzing PLS data
- Fit and Review Fit
- Interpret the scores and loadings
- Diagnostics and contribution plots
- Understand the relationship
- Update the model
- Predictions
- Examples
Case studies from Semiconductor, Solar, and OEM
Conclusion
Labs |
| 17:00 |
End of course |
Cost and conditions
Course fee includes coffee, lunch, and course documentation. Course registration is binding. Cancellations received within two weeks of the course start date will forfeit the entire course fee. If the customer cancels prior to 14 days of the course, 20% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 15%. Also if you are more than three participants from one company booking the same course date you will receive a 10% DISCOUNT/person.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/10098
|
Process Analytical Technology
Start date: Wednesday, November 03, 2010 (week 44)
Language: English
Price: $1,795 US
Last day to register:
2010-10-13
Multivariate Analysis for PAT
This course introduces PAT (Process Analytical Technologies) as it applies in the pharmaceutical and biotech industries, and the objectives of PAT. This three-day course is dedicated to the multivariate methods and applications essential for development of process understanding and execution of PAT projects. The course covers PAT in both Process R&D and Manufacturing with the emphasis on chemometrics, analytical and IT aspects, and is illustrated by real life examples.
The topics covered include analysis of raw material variation, MV calibration, batch analysis and design of experiments. Applications include MV calibration, end point detection, multivariate monitoring (real-time MSPC) of batch processes, identification of critical process parameters, prediction of quality and a methodology for modeling complete production trains. There is also discussion of data infrastructure requirements that enable these types of analysis.
Chemometrics tools essential to PAT, i.e., PCA, PLS, Multivariate Calibration, Classification, Batch Modeling and Design of Experiments (DoE) are worked through and organized into the four levels of PAT.
The topics of data integration and IT, and the required infrastructure are addressed as well as Regulatory aspects.
After completing the course, each participant will be able to:
| • |
Identify critical process parameters |
| • |
Evaluate manufacturing performance for quality investigations |
| • |
Understand the technology required to accomplish PAT objectives |
| • |
Quantify the influence of raw material and process variation on product quality |
Who should participate?
The course is intended for researchers, scientists and engineers from all sectors of industry and academia. No prior knowledge of statistics is assumed.
Course schedule
Lunch daily between 12:00 - 13:00 |
| Day one |
| 08:30 |
Introduction and presentation of three kinds of problems: overview, classification, and quantification and prediction. Principal Component Analysis (PCA) for overview of data tables: variable scaling, geometrical interpretation, and model evaluation. PCA examples: quality control of manufacturing, process control (SPC) and environmental monitoring.
Computer exercises followed by discussion. |
| 17:00 |
End of lectures and exercises |
| Day two |
| 08:30 |
Partial Least Squares (PLS): prediction of responses Y from inputs X e.g. spectra, process variables etc.
Variable scaling, geometrical interpretation, algebraic solution and model evaluation.
Multivariate characterisation: quantification of qualitative differences (batches of raw material, chemicals, suppliers). Multivariate calibration: prediction of chemical contents from spectroscopic data.
PLS examples: NIR calibration of API concentration in tablets, mixing of two powders.
Computer exercises followed by discussion. |
| 17:00 |
End of lectures and exercises. |
| Day three |
| 8:30 |
Multivariate batch modelling.
Computer exercises on API manufacture and reaction monitoring. Multivariate process modelling.
Computer exercises and analysis of student data.
Course summary. |
| 17:00 |
End of course |
Cost and conditions
Course fee includes coffee, lunch, and course documentation. Course registration is binding. Cancellations received within two weeks of the course start date will forfeit the entire course fee. If the customer cancels prior to 14 days of the course, 20% of the class fee will be applied to cover processing costs. The balance of class fees already paid to Umetrics may be credited towards a future course. The registering company may substitute its participant(s) provided that Umetrics is notified.
Umetrics holds courses based on a sufficient number of registrants. Therefore, Umetrics reserves the right to cancel the course 14 days prior to the course start date if the number of registrants is too low. Full refund will be made to these registrants. Alternately a 10% refund will be made to any registrant(s) enrolling in the next available course.
Early bird registration: if you book at least 2 months prior to course date the price DISCOUNT is 15%. Also if you are more than three participants from one company booking the same course date you will receive a 10% DISCOUNT/person.
To register, please use the button "Begin registration" in this window frame, or send an email to Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/10099
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| Design of Experiments, General |
USA, MA, Boston |
2010-02-10 |
3 |
English |
| Process Analytical Technology |
USA, CA, San Jose |
2010-03-02 |
3 |
English |
| Design of Experiments, General |
Sweden, Gothenburg |
2010-03-02 |
3 |
Swedish |
| Spectroscopic Applications with Simca-P+ |
USA, FL, Orlando |
2010-03-05 |
1 |
English |
| Design of Experiments, General |
Denmark, Copenhagen |
2010-03-09 |
3 |
English(UK) |
| Multivariate Data Analysis, General |
Switzerland, Basel |
2010-03-09 |
3 |
English(UK) |
| Design of Experiments, General |
Sweden, Stockholm |
2010-03-16 |
3 |
Swedish |
| Design of Experiments, General |
Spain, Barcelona |
2010-03-16 |
3 |
English(UK) |
| PAT - Process Analytical Technology with case studies from Pharmaceutical, Biotech Pharma and Chemical |
USA, NC, Raleigh |
2010-04-07 |
3 |
English |
| Design of Experiments, General |
United Kingdom, United Kingdom |
2010-04-13 |
3 |
English(UK) |
| Multivariate Data Analysis, General |
Denmark, Copenhagen |
2010-04-13 |
3 |
English(UK) |
| Multivariate Data Analysis, General |
Sweden, Gothenburg |
2010-04-20 |
3 |
Swedish |
| Design of Experiments, General |
Germany, Munich |
2010-04-20 |
3 |
English(UK) |
| Design of Experiments, General |
Netherlands, Amsterdam |
2010-05-04 |
3 |
English(UK) |
| Multivariate Data Analysis, General |
Germany, Berlin |
2010-05-04 |
3 |
English(UK) |
| Introduction to Multivariate Analysis with case studies from Food, Petrochemical, Solar and Semiconductor |
USA, MA, Boston |
2010-05-05 |
3 |
English |
| Multivariate Data Analysis for Omics |
United Kingdom, United Kingdom |
2010-05-11 |
2 |
English(UK) |
| Design of Experiments, General |
Denmark, Copenhagen |
2010-05-18 |
3 |
English(UK) |
| Design of Experiments, General |
Sweden, Stockholm |
2010-05-25 |
3 |
Swedish |
| Multivariate Data Analysis, General |
Netherlands, Amsterdam |
2010-06-01 |
3 |
English(UK) |
| Design of Experiments, General |
Switzerland, Basel |
2010-06-08 |
3 |
English(UK) |
| Introduction to Multivariate Analysis with case studies from Food, Petrochemical, Solar and Semiconductor |
USA, TX, Austin |
2010-06-08 |
3 |
English |
| Multivariate Analysis of Fermentation Data |
Germany, Frankfurt |
2010-06-15 |
3 |
English(UK) |
| Multivariate Data Analysis, General |
United Kingdom, United Kingdom |
2010-06-15 |
3 |
English(UK) |
| Multivariate Data Analysis for Omics |
Switzerland, Basel |
2010-07-06 |
2 |
English(UK) |
| Free Half Day Multivariate Analysis at Semicon West 2010 |
USA, CA, San Francisco |
2010-07-12 |
1/2 |
English |
| PAT - Process Analytical Technology with case studies from Pharmaceutical, Biotech Pharma and Chemical |
USA, MA, Boston |
2010-09-22 |
3 |
English |
| Multivariate Analysis for Semiconductor, Solar and OEMs |
USA, CA, San Jose |
2010-10-19 |
3 |
English |
| Process Analytical Technology |
USA, NV, Las Vegas |
2010-11-03 |
3 |
English |
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Overview
Course schedule