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Valid for year : 2008
 
TFKI14 Applied Chemometrics, 6 ECTS credits.
/Tillämpad kemometri/

For:   KA  

 

Prel. scheduled hours: 62
Rec. self-study hours: 98

  Area of Education: Technology

Subject area: Chemical Engineering
  Advancement level (G1, G2, A): G1

Aim:
The overall objective is that students be able to plan and experimental investigation in the most efficient manner possible (i.e. to be able to design experiments so that the most useful information can be obtained with the least effort).
Specfically, at the end of the course students will be able to:
  • Demonstrate knowledge of facts: define main effects, factor-factor interactions, orthogonality, resolution
  • Explain and describe the following: randomized experiments, experiment blocking, confounding, optimization, full design, fractional design
  • Use the commerical software Modde to design a 2 or 3 level factorial design (full or fractional), predict the confounding patterns for a 2 level fractional design, fit a model to experimental measurements, from an initial screening set of experiements, design a further set of experiments designed to optimise the results
  • Use knowledge to analyse experiments and results: explain the difference between various common 2 and 3 level fractional factorial design, including when it is advisable to use them, evaluate how well a model describes some experimental results, analyse experimental results to identify important trends and effects, analyse experimental results to determine what further experiments are required.
  • Work in small groups to design a set of experiments (students�?T choice), conduct the experiments and analyse results.
  • Oppose another group�?Ts presentation.


Prerequisites: (valid for students admitted to programmes within which the course is offered)
Calculation tools for chemiical engineering students

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
Organisation:
The course consists of lectures, computer tutorials and projects which result in oral and written presentation
Course contents:
Review of basic statistics, statistical experimental planning, model building and analysis, regression methods, optimization of chemical and biological processes
Course literature:
Miller, J.N. and Miller, J.C., Statistics and Chemometrics for Analytical Chemistry
Examination:
Project work presented at a seminar and in a written report
6 ECTS
 


Course language is English.
Department offering the course: IFM.
Director of Studies: Stefan Svensson
Examiner: David Lawrence

Course Syllabus in Swedish

Linköping Institute of Technology
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Contact: TFK , val@tfk.liu.se
Last updated: 10/28/2008