Advanced Chemometrics
Course content
Basic chemometric methods like PCA and PLS are useful tools in
data analysis but in many data analytical problems more advanced
methods are necessary to solve the problems.
The methods studied in this course will be selected from these main
topics: Data preprocessing methods, variable selection methods,
clustering and classification techniques, calibration transfer
methods, non-linear regression and multi-way methods.
Computer exercises on real data using commercial software are an
integrated part of the course.
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The course introduces advanced chemometric methods and their use
on different kinds of multivariate data of relevance for research
and development.
After completing the course the student should be able to:
Knowledge
- Summarize basic chemometric methods
- Describe advanced chemometric methods for multivariate (clustering, classification and regression) data analysis
- Describe advanced techniques for data pre-preprocessing
- Describe advanced methods for variable selection
Skills
- Apply theory on real life data analytical cases
- Apply commercial software for data analysis
- Report in writing a full data analysis of a given problem including all aspects presented under Knowledge.
Competences
- Discuss advantages and drawbacks of advanced methods
The students will be introduced to the theory through lectures and seminars. The students will work on data analytical problems using the taught methods and software to analyse data. The students can bring their own data analytical problems to work on; this requires that the course teachers consider the data as suitable to illustrate the taught methods. The results are presented in written reports which is orally defended at the end of the course.
See Absalon for specific course literature
Competences in the field of Exploratory Data Analysis /
Chemometrics (experience with PCA and PLS regression) is highly
recommended. The course coordinator should be contacted in case of
doubt about sufficient prerequisites.
Academic qualifications equivalent to a BSc degree is
recommended.
- ECTS
- 7,5 ECTS
- Type of assessment
-
Oral examination, 20 minThe students will hand in a number of written reports in due time before the oral examination. At the oral examination, the student will be examined in the reports as well as the curriculum.
Weight: Oral examination, 100% - Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
Criteria for exam assessment
See Learning Outcome
Single subject courses (day)
- Category
- Hours
- Lectures
- 69
- Preparation
- 110
- Project work
- 26
- Exam
- 1
- English
- 206
Kursusinformation
- Language
- English
- Course number
- LLEK10246U
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 block
- Schedulegroup
-
C
- Capacity
- 25
- Studyboard
- Study Board of Food, Human Nutrition and Sports
Contracting department
- Department of Food Science
Contracting faculty
- Faculty of Science
Course Coordinator
- Rasmus Bro (2-74644268717166306d7730666d)
Timetable
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Courseinformation of students