Course info

Description:

Biased sampling represents the dominating error source in all analysis of complex scientific, laboratory, technological and industrial lots and systems - often contributing by factor of 20-50 higher than all analytical errors combined. The vast majority of M.Sc. and Ph.D. students perform sampling during their projects; this course allows participants to practice representative sampling with complete procedural guarantee.

The Theory of Sampling (TOS) contains all generic principles needed to sample all types of heterogeneous systems and processes as found in science, technology and industry. A set of six Governing Principles (GP) and four Samplin g Uni t Operation s (SUO ) cove r al l practica l aspect s o f samplin g an d provide s a comprehensive toolbox fo r scientists, samplers , process engineers , laborator y an d scientifi c personnel - and includes the critical issue of securing, and documenting that all primary sampling, splitting, sub-sampling and sample preparation is fully documentable by using only representative procedures, equipment, and maintenance. This course provides the complete Theory of Sampling background for practical sampling of both stationary as well as dynamic process lots, including a focus on Process Analytical Technologies (PAT).

The course covers all types of systems, materials (gases excepted) and lots, stationary as well as moving, with a special focus on process monitoring, on-line sampling and process control requirements. Many case histories and practical examples are included. A full description of the course can be found here:

https://dl.dropbox.com/u/13542010/TOS_course_AAURS_3_days_general%20%282013%29.doc

Examination is in the form of a written essay exam based on key questions. Full literature and documentation will be available at the course start.