2019-2020 / CHIM9310-1

Advanced spectroscopic analysis methods

Duration

20h Th, 5h Pr

Number of credits

 Master in chemistry (120 ECTS)3 crédits 
 Master in chemistry (60 ECTS)3 crédits 

Lecturer

Gauthier Eppe, Cédric Malherbe

Coordinator

Gauthier Eppe

Language(s) of instruction

French language

Organisation and examination

Teaching in the second semester

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This course illustrates recent applications in the field of advanced molecular spectroscopies, introduces the notion of molecular imaging and the required spectroscopic data treatments. The technical and experimental concepts of molecular spectroscopies are developped within 6 chapters. The processing of spectroscopic data is also approached with contextual example of studies.
Chapter 1. Introduction and basics of molecular spectroscopies
Chapter 2. Pretreatment of spectroscopic signals and quantitative analyses
Chapter 3. Chemometrics exploratory approaches, clustering and principal component analysis (PCA)
Chapter 4.Introduction to molecular imaging
Chapter 5. Chemometric techniques for molecular imaging, multivariate curve resolution (MCR)
Chapter 6. Practical works

Learning outcomes of the learning unit

By the end of the course, the students should be able to propose an analytical strategy to characterise a sample, including the spectral characterisation itself and the associated data treatment. The stategy must be compatible with the sample and the technical aspects of the complementary spectral methods.

Prerequisite knowledge and skills

Students should have some basic knowledge about spectroscopy.

Planned learning activities and teaching methods

The course will be composed of 6 lessons. A complete chapter will be taught per lesson. Applied exercices (TDs) will be resolved during the lessons. The chemiometric data treatment will be realised on commercial software (such as Mathlab). At the end of the course, two practical sessions (TP) of 5 hours will be organised during which mini-projects will be proposed to the students.

Mode of delivery (face-to-face ; distance-learning)

6 lessons of 2:30 each during the second quadrimester follewed by 2 pratical session of 5h (lab session) at the end of the course.

Recommended or required readings

The students will have access to the lecture support and to lecture notes.

Assessment methods and criteria

During the pratical sessions (Chapter 6), the students will carry out a mini-project consisting in acquiring complex spectral data and analysing them with the tools provided. The students will be evaluated by a presentation of their results generated from the spectral data obtained during the pratical sessions and their suitable data treatment.
Identical modalities stand for the evaluation in September, would the evaluation in June be less than 10/20.

Work placement(s)

Organizational remarks

The lecture is given in English.

Contacts

Prof. Gauthier EPPE
Department of Chemistry, Bat B6c (bureau 1/8), Allee du 6 aout, 11 at 4000 Liege
Tel: +32 4366.34.22; e-mail : g.eppe@uliege.be
 
Dr. Cedric MALHERBE
Department of Chemistry, Bat B6c (bureau 1/9), Allee du 6 aout, 11 at 4000 Liege
Tel: +32 4366.36.47; e-mail : c.malherbe@uliege.be

Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session

Teaching methods implemented : distance-learning

Due to the pandemic situation, the presential lectures will be replaced by videoconferences and tutorials posted online on e-Campus.
The Students are invited to integer theoretical notions that are developed in different supporting documents available on the e-Campus plateform. These notions will be further discussed and contextualised during the videoconferences.

Assessment subjects

A individual work consisting in treating a spectrscopic data set.

Assessment methods

The Student will be evaluated based on a written work consisting in a 2 pages report, presented as a scientific publication (a template will be available) illustrating the data treatment  of a preregistered spectroscopic data set.

Contacts

See above.

Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session

Assessment subjects

Assessment methods

Contacts