Course manual 2017/2018

Course content

In this course general aspects of 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.Attention will also be given to sampling strategies, design-of-experiments, validation procedures and to quality control in analytical laboratories. One of the main objectives of the course is to acquire the skills for adequate software handling for data analysis (e.g. Excel and Matlab).

Study materials

Literature

  • Statistics and Chemometrics for Analytical Chemistry, Miller&Miller, Pearson, 6th ed.

Other

  • Hand-outs and excercises.

Objectives

After this course students should be able to:

  • estimate and compare the merits of different analytical techniques
  • set-up an experimental design and interpret the experimental results
  • define suitable sampling strategies
  • find the main characteristics of signals obtained by instrumental analytical techniques
  • propose suitable methods for signal and data processing
  • use suitable statistical methods for the processing and interpretation of experimental results
  • use suitable statistical software

Teaching methods

  • Lecture
  • Seminar
  • Computer lab session/practical training

Learning activities

Activity

Number of hours

Zelfstudie

168

Attendance

The programme does not have requirements concerning attendance (OER-B).

Assessment

Item and weight Details

Final grade

1 (100%)

Tentamen

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.uva.nl/plagiarism

Course structure

Weeknummer Onderwerpen Studiestof
1
2
3
4
5
6
7
8

Timetable

The schedule for this course is published on DataNose.

Contact information

Coordinator

  • dr. W.T. Kok