ST808: Multivariate Data Analysis and Chemometrics (5 ECTS)

STADS: 15009501

Level
Master's level course

Teaching period

The course is offered when needed.

Teacher responsible
Email: bentj@stat.sdu.dk

Timetable
There is no timetable available for the chosen semester.

Comment:
Ubegrænset deltagerantal. 2. kvartal.

Prerequisites:
None

Academic preconditions:
The material of the courses ST501 Science Statistics and MM505 Linear Algebra is assumed known.

Course introduction
To study multivariate calibration methods and their applications in chemometrics.

Expected learning outcome
At the end of the course the student is expected to be able to:

• describe the main chemometric methods for multivariate calibration and to know how to apply these in a specific context.
• know the application of a statistical software package, such as R, for solving concrete multivariate calibration problems, and to be able to describe the result of such an analysis in the form of a report.
• describe the advantages and disadvantages of different chemometric methods, in order to choose the correct method to solve a given multivariate calibration problem.
• describe the main methods for validation and optimization of a given calibration method for a specific problem, in order to assess the correctness of the method in the given context.

Subject overview

• Repetition of basic concepts from statistics and matrix algebra.
• Introduction to chemometrics and multivariate calibration.
• Multiple linear regression analysis (MLR).
• The classical least squares method (CLS).
• Principal components analysis (PCA).
• Principal components regression (PCR).
• Partial least squares regression (PLS).
• Validation and optimization of calibration model.

Literature

Meddeles ved kursets start.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
Evaluation is based on three project reports regarding chemometric data analyses set during the course. Pass/fail. Internal evaluation by the teacher.

The evaluation form can be different for re-exam.

Expected working hours
The teaching method is based on three phase model.

Forelæsninger: 28 timer
Eksaminatorietimer/opgaveregning: 22 timer
Educational activities

Language
This course is taught in Danish or English, depending on the lecturer. However, if international students participate, the teaching language will always be English.

Remarks
Offered according to demand. The course is identical with the course K-MDA-U01 at the Faculty of Engineering.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.