Module code: CHE2036

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

Overall student workload

Workshop Hours: 22

Independent Learning Hours: 100

Lecture Hours: 9

Guided Learning: 10

Captured Content: 9

Module Availability

Semester 1

Prerequisites / Co-requisites


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

Assessment type Unit of assessment Weighting
Online Scheduled Summative Class Test ONLINE OPEN BOOK TEST 4 hrs 40
Examination Online ONLINE OPEN BOOK EXAM 4 hrs 60

Alternative Assessment


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

Formative assessment

mock test 


Feedback is provided:

  • orally throughout the duration of the module;

  • in every workshop;

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

  • after the mock test.

Feedback is provided in writing after the first In-Semester 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

Attributes Developed
001 Interpret NMR, MS, UV-visible, IR and Raman data to obtain knowledge of the structural elements present in a simple organic molecule and identify organic compounds KC
002 Demonstrate understanding of the application range of these spectroscopic and spectrometric methods and choose appropriate methods for a given problem KCPT
003 Apply knowledge gained to predict spectral properties of compounds KCPT
004 Use appropriate literature and databases to confirm spectral interpretation KPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

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.

The learning and teaching methods include:

  • 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
Upon accessing the reading list, please search for the module using the module code: CHE2036

Other information


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

Programme Semester Classification Qualifying conditions
Chemistry with Forensic Investigation BSc (Hons) 1 Compulsory A weighted aggregate mark of 40% is required to pass the module
Chemistry BSc (Hons) 1 Compulsory A weighted aggregate mark of 40% is required to pass the module
Chemistry MChem 1 Compulsory A weighted aggregate mark of 40% is required to pass the module
Medicinal Chemistry BSc (Hons) 1 Compulsory A weighted aggregate mark of 40% is required to pass the module
Chemistry with Forensic Investigation MChem 1 Compulsory A weighted aggregate mark of 40% is required to pass the module
Medicinal Chemistry MChem 1 Compulsory A weighted aggregate mark of 40% is required to pass the module

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 2025/6 academic year.