APPLIED ORGANIC SPECTROSCOPY - 2023/4

Module Overview

This module discusses the theoretical knowledge and skills required for the interpretation of NMR, IR, Raman, MS and UV-Vis spectra

Module provider

Chemistry and Chemical Engineering

Module Leader

CREAN Carol (Chst Chm Eng)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 5

Module cap (Maximum number of students): N/A

Module Availability

Semester 1

Prerequisites / Co-requisites

None

Module content

Indicative content includes:

• NMR-active nuclei, calculation of shift, equivalence , 1H NMR spectra (shift, integration, multiplicity, coupling constants, Karplus equation, broad peaks, mobile peaks), 13C NMR spectra (shift, intensity of peaks, de-coupling, DEPT spectra)


• IR spectroscopy: Vibrational modes, calculation of frequency / wavenumber, selection rules


• UV-Vis spectroscopy: Selection rules, auxochromes, bathochromes, the effect of conjugation, Woodward-Fieser rules, Beer-Lambert Law


• Raman Spectroscopy: Elastic and inelastic scattering, selection rules


• Mass Spectrometry: Ionisation methods, Fundamental fragmentation patterns and rearrangements

Assessment pattern

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate that they have successfully achieved the learning outcomes of the module (see above).

Thus, the summative assessment for this module consists of:

• Test 1 (4 hrs) – LO1 (part) and LO2


• Exam (4 hrs) – LO1, LO2, LO3

• orally throughout the duration of the module;


• in every workshop;


• in one-to-one meetings (arranged on students’ requests);


• after the mock test.

Module aims

• Provide an advanced understanding of the use of spectroscopic and spectrometric methods (1H- and 13C-NMR, MS, UV visible, Infrared and Raman) in establishing the structure of organic compounds;
• Provide practice in the use of spectroscopic and spectrometric methods for structure evaluation.

Learning outcomes

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

• present the theory and foster enquiry and consolidation through discussion;


• enhance problem solving skills;


• give a comprehensive understanding of the standards required for successful completion of the module.

• Lectures (1 h per week for the first 9 weeks, 9 h total): PowerPoint presentations and discussion (including some problem solving)


• Workshops (2 h per week, 22 h total): problem solving (individual or peer groups), discussion, peer and tutor feedback

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: CHE2036

Other information

Employability 

Throughout the course, students are equipped with knowledge on: 

• Spectral problem solving 

• Prediction of spectral features relating to a wide range of functional groups 

Both of which are relevant to pharmaceutical and other sectors in chemical industry. 

Spectroscopy contributes to student awareness of Digital Capabilities due to discussions about and use of Fourier transformed spectra and needing to download spectra from online databases (e.g. NIST).  

Teamwork and discussion are required during workshops and students are challenged to develop their problem-solving skills as well as apply critical thinking when providing solutions to their spectra. By doing, so we nurture Resourcefulness & Resilience in our students preparing them to be competent professionals.¿¿ 

Programmes this module appears in

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2023/4 academic year.