Chemometrics & Statistics

In this course general aspects of chemometrics and statistics applied for analytical methods will be treated. Parameters to describe the quality of analytical methods (e.g. accuracy and precision, sensitivity, selectivity, robustness) will be defined. Basic statistical methods applied to modern analytical instrumentation will be discussed. These include data exploration and visualization, statistical inference, hypothesis testing, and calibration, applied to univariate and multivariate data.

In addition, an important component of the course is signal processing and the student will learn how to find and process useful information from signals obtained by instrumental analytical techniques.

Attention will also be given to design-of-experiments and validation procedures. One of the main objectives of the course is to acquire the skills for adequate software handling for data analysis using a higher programming language.

Chemometrics Subtrack

This course is part of a three-course Chemometrics specialization within the MSc. Chemistry, analytical sciences program. The series of courses covers the entire second semester of the academic year.

The Chemometrics & Statistics course introduces fundamental analytical concepts and statistical methods with respect to hypothesis testing and experimental design. Moreover, essential skills are trained with respect to programming and data analysis. The course largely focuses on univariate statistics and regards the potential of multivariate methods.

The potential of multivariate methods is further explored in Advanced Chemometrics & Statistics which treats the full array of advanced statistical methods. Where the first course practices using simple datasets, this second course covers approaches that can tackle complex higher-order datasets.

Finally, students can opt to learn how to effectively apply all gained knowledge to data generated by frontier projects within the Applied Chemometrics & Statistics course. The course will feature a large practical component where practical 

Chemometrics & Statistics

Developing a fundamental understanding.

February

Advanced Chemometrics & Statistics

Advanced state-of-the-art techniques.

Read MoreApril

Applied Chemometrics & Statistics

Application to real complex datasets.

Read MoreJune

About the lecturers

Picture of Bob Pirok

Bob Pirok

Active within the field of multi-dimensional chromatography, Bob realized rather quickly the need for chemometric strategies to gain the full potential of analytical methods.

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COURSE FACTS

Study Credits

6 ECTS

TYPE

Compulsory course

CATEGORY

Fundamental

INSTITUTION

University of Amsterdam

CATALOGUE NO.

5254CHST6Y

TIME PERIOD(S)

Semester 2, Period 4

COORDINATOR

dr. Bob Pirok

LANGUAGE

English

STAFF

dr. Bob Pirok, dr. Saer Samanipour, dr. Johan Westerhuis

PRE-KNOWLEDGE REQUIRED

Elementary knowledge regarding statistics. Matrix calculations and linear algebra.

CONTACT

Education Desk FNWI
Science Park 904
B1
020 5257100

servicedesk-esc-science@uva.nl

Intended Learning Outcomes

  • classify statistical analysis methods
  • propose suitable methods to data processing
  • set-up an experimental design and interpret the experimental results
  • evaluate whether the applied statistical method led to a useful answer to the analytical question
  • examine the quality of analytical methods (e.g. accuracy and precision, sensitivity, selectivity, robustness)
  • find the main characteristics of signals obtained by instrumental analytical techniques
  • write scripts to perform statistical computations
  • defend the implication of the choice of statistical method

Chemometrics & Statistics teaches you how to distill useful information generated by analytical methods.

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