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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: Tuesday, February 03, 2009 (week 6)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2009-01-13
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. 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/2314
|
Design of Experiments, General
Dusseldorf/Neuss, Germany
| |
Start date: Tuesday, February 03, 2009 (week 6)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2009-01-13
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. 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/2318
|
Multivariat data analys, grundkurs
Start date: Tuesday, February 10, 2009 (week 7)
Language: Swedish
Price: 12000 SEK
Last day to register:
2009-01-20
Multivariat analys, grundkurs
De metoder vi behandlar på kursen grundar sig på att varje problem är multivariat. Det innebär att många variabler i samverkan påverkar ett visst resultat, t ex syntesutbyte, kromatografi sk separation, tillverkning av livsmedel, NIR-kalibrering eller produktegen skaper. Den intressanta informationen ligger nästan alltid i kombinationen av flera signaler och för att få ett maximalt informationsutbyte behövs multivariata projektionsmetoder.
Kursen består av föreläsningar och praktiska övningar med programvaran SIMCA-P+ utifrån Umetrics material. Du kommer även att ges möjlighet att diskutera egna frågeställningar och öva med egna data.
Du kommer att kunna tillämpa kunskaperna för att bl a:
| • |
Ta fram multivariata modeller med PCA (principalkomponentanalys) och PLS (partial least squares) |
| • |
Använda modellerna för att förstå hur ett system eller en process fungerar |
| • |
Använda modellerna för prediktion |
| • |
Klassificering av material och tillstånd. |
Vem bör delta?
Kursen vänder sig till dig som är tekniker eller naturvetare och arbetar med forskning, utveckling, produktion eller kvalitetskontroll.
Kursprogram
Lunch mellan 12:00 - 13:00 |
| Dag ett |
| 09:00 |
Introduktion, presentation av varför multivariat dataanalys. Tre problemtyper: översikt, klassificering och prediktion.
Principalkomponentanalys (PCA) för översikt av tabeller: variabel-skalning, geometrisk tolkning, och kvalitetskontroll av modellen.
PCA exempel: kvalitetskontroll av tillverkning, processkontroll (SPC) och miljöövervakning.
Övningar, diskussion av övningsresultat. |
| 17:00 |
Föreläsningar och övningar avslutas. |
| Dag två |
| 09:00 |
Partial Least Squares (PLS): Prediktion av resultatvariabler Y från styrvariabler X.
Variabelskalning, geometrisk tolkning, algebraisk lösning och kvalitetskontroll av erhållen modell.
Modell diagnos och validering av PLS modeller
Exempel i process och kvalitetskontroll.
Övningar, diskussion av övningsresultat. |
| 17:00 |
Föreläsningar och övningar avslutas. |
| Dag tre |
| 09:00 |
Multivariat kalibrering: prediktion av t ex kemiskt innehåll från spektroskopiska data.
Multivariat klassificering, två typer av klassificeringstekniker diskuteras. SIMCA klassificering och PLS-DA (diskriminantanalys).
Övningar och diskussion av egna eller Umetrics exempel. Genomgång av kursdeltagarnas egna data.
Sammanfattning av kursen. |
| 15:00 |
Kursen avslutas. |
Pris och villkor
Kursavgiften inkluderar kursmaterial samt lunch och kaffe (ev. moms tillkommer). Betalning sker via faktura och motses innan kursstart. Anmälan till kursen är bindande. Vid avbokning senare än 14 dagar före kursstart uttages full kurskostnad. Det står företaget fritt att efter meddelande till Umetrics sända annan kursdeltagare.
Early bird registration: För bokning gjord 2 månader innan kursstart utgår en rabatt på 17% av kurspriset. Om ni är fler än 3 deltagare från samma företag utgår 8% rabatt på kurspriset.
Umetrics genomför kursen beroende på om antalet deltagare är tillräckligt många. Umetrics förbehåller sig rätten att ställa in en kurs upp till 14 dagar före utsatt kursdatum. Inbetalda kursavgifter återbetalas om kursdeltagaren accepterar att delta i en annan av Umetrics arrangerade kurtser erhålles en rabatt på 10%.
Anmälan kan göras genom att trycka på knappen "Begin registration" i ramen för detta fönster, eller genom att kontakta Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2309
|
Design of Experiments, General
Start date: Tuesday, February 17, 2009 (week 8)
Language: English(UK)
Price: 1795 USD
Last day to register:
2009-01-27
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. 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/2326
|
Multivariate Data Analysis, General
Start date: Wednesday, February 18, 2009 (week 8)
Language: English
Price: $1,795 US
Last day to register:
2009-01-28
Multivariate Analysis, Basic
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
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/10078
|
Multivariat data analys, grundkurs
Start date: Tuesday, February 24, 2009 (week 9)
Language: Swedish
Price: 12000 SEK
Last day to register:
2009-02-03
Multivariat analys, grundkurs
De metoder vi behandlar på kursen grundar sig på att varje problem är multivariat. Det innebär att många variabler i samverkan påverkar ett visst resultat, t ex syntesutbyte, kromatografi sk separation, tillverkning av livsmedel, NIR-kalibrering eller produktegen skaper. Den intressanta informationen ligger nästan alltid i kombinationen av flera signaler och för att få ett maximalt informationsutbyte behövs multivariata projektionsmetoder.
Kursen består av föreläsningar och praktiska övningar med programvaran SIMCA-P+ utifrån Umetrics material. Du kommer även att ges möjlighet att diskutera egna frågeställningar och öva med egna data.
Du kommer att kunna tillämpa kunskaperna för att bl a:
| • |
Ta fram multivariata modeller med PCA (principalkomponentanalys) och PLS (partial least squares) |
| • |
Använda modellerna för att förstå hur ett system eller en process fungerar |
| • |
Använda modellerna för prediktion |
| • |
Klassificering av material och tillstånd. |
Vem bör delta?
Kursen vänder sig till dig som är tekniker eller naturvetare och arbetar med forskning, utveckling, produktion eller kvalitetskontroll.
Kursprogram
Lunch mellan 12:00 - 13:00 |
| Dag ett |
| 09:00 |
Introduktion, presentation av varför multivariat dataanalys. Tre problemtyper: översikt, klassificering och prediktion.
Principalkomponentanalys (PCA) för översikt av tabeller: variabel-skalning, geometrisk tolkning, och kvalitetskontroll av modellen.
PCA exempel: kvalitetskontroll av tillverkning, processkontroll (SPC) och miljöövervakning.
Övningar, diskussion av övningsresultat. |
| 17:00 |
Föreläsningar och övningar avslutas. |
| Dag två |
| 09:00 |
Partial Least Squares (PLS): Prediktion av resultatvariabler Y från styrvariabler X.
Variabelskalning, geometrisk tolkning, algebraisk lösning och kvalitetskontroll av erhållen modell.
Modell diagnos och validering av PLS modeller
Exempel i process och kvalitetskontroll.
Övningar, diskussion av övningsresultat. |
| 17:00 |
Föreläsningar och övningar avslutas. |
| Dag tre |
| 09:00 |
Multivariat kalibrering: prediktion av t ex kemiskt innehåll från spektroskopiska data.
Multivariat klassificering, två typer av klassificeringstekniker diskuteras. SIMCA klassificering och PLS-DA (diskriminantanalys).
Övningar och diskussion av egna eller Umetrics exempel. Genomgång av kursdeltagarnas egna data.
Sammanfattning av kursen. |
| 15:00 |
Kursen avslutas. |
Pris och villkor
Kursavgiften inkluderar kursmaterial samt lunch och kaffe (ev. moms tillkommer). Betalning sker via faktura och motses innan kursstart. Anmälan till kursen är bindande. Vid avbokning senare än 14 dagar före kursstart uttages full kurskostnad. Det står företaget fritt att efter meddelande till Umetrics sända annan kursdeltagare.
Early bird registration: För bokning gjord 2 månader innan kursstart utgår en rabatt på 17% av kurspriset. Om ni är fler än 3 deltagare från samma företag utgår 8% rabatt på kurspriset.
Umetrics genomför kursen beroende på om antalet deltagare är tillräckligt många. Umetrics förbehåller sig rätten att ställa in en kurs upp till 14 dagar före utsatt kursdatum. Inbetalda kursavgifter återbetalas om kursdeltagaren accepterar att delta i en annan av Umetrics arrangerade kurtser erhålles en rabatt på 10%.
Anmälan kan göras genom att trycka på knappen "Begin registration" i ramen för detta fönster, eller genom att kontakta Umetrics Academy.
Direct link to this course: http://www.umetrics.com/default.asp/pagename/Courselist/c/2/link/2312
|
Multivariate Data Analysis, General
Start date: Tuesday, February 24, 2009 (week 9)
Language: English(UK)
Price: 1200 EUR
Last day to register:
2009-02-03
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/2319
|
Multivariate Data Analysis, General
Start date: Tuesday, March 03, 2009 (week 10)
Language: English(UK)
Price: 1795 USD
Last day to register:
2009-02-10
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/2327
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Multivariate Data Analysis for Metabolomics
Start date: Tuesday, March 03, 2009 (week 10)
Language: English(UK)
Price: 1095 GBP
Last day to register:
2009-02-10
Multivariate Analysis for Metabolomics
Multivariate data analysis is essential in the process of distilling information from the complex data sets involved in Metabolomics. Discover how to build valid and predictive models based on data from in vivo metabolic profiles, with the latest multivariate techniques.
The course is composed of lectures, demonstrations and computer exercises using SIMCA-P+ software on real-life datasets.
After completing the course, participants will know how to:
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Apply PCA to detect outliers, trends and patterns in metabolomic data |
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Overview
Course schedule