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Postgraduate course

Process and Environmental Chemometry

  • ECTS credits10
  • Teaching semesterAutumn
  • Course codePTEK226
  • Number of semesters1
  • LanguageNorwegian
  • Resources

Teaching semester

Fall

Objectives and Content

This course provides an introduction to analysis and monitoring of industrial processes by means of data analytical methods. The course covers univariate and multivariate statistical process monitoring, exploration and optimization of processes using multivariate design and latent variable analysis of historic data, and prediction of product quality and discharges from feed and process data. The methods are illuminated with real examples from both onshore and offshore process industry,e.g., oil-source correlation, modelling of reservoir characteristics from well logs and application on rigs and refineries.

Learning Outcomes

After completing the course PTEK226 the student will be able to:

  • set up and analyse the results from an experimental design.
  • explain the assumptions and basic equations in multiple linear regression, and to perform a regression analysis.
  • explain and to use methods for response optimisation.
  • use latent variables to interpret, classify and predict, and to state the theory behind this.
  • do an independent data analysis using chemometric software.

Recommended Previous Knowledge

MAT101 or MAT111, MAT121, STAT101 is recomended.

Compulsory Assignments and Attendance

2 computer exercises with report. The exercises is valid for 7 semester.

Forms of Assessment

Written examination (4h).

Examination Support Material

Non- programmable calculator, according to model listed in faculty regulations

Grading Scale

The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.

Subject Overlap

KJEM225: 10 credits

Exam information

  • For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam. The exam location will be published 14 days prior to the exam.

  • Type of assessment: Semester thesis and one written exam

    Withdrawal deadline
    21.02.2018