MATHEMATICS, COMPUTING AND STATISTICAL SKILLS - 2023/4

Module Overview

This module introduces key skills in:

• Mathematics: for the manipulation of physical laws underpinning Chemistry


• Statistics: for analysis and significance testing of hypotheses and analytical data in Chemistry


• Computing skills: for the basics of molecular modelling and presentation of chemical information in a standard format

Module provider

Chemistry and Chemical Engineering

Module Leader

WATSON David (Chst Chm Eng)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 4

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

Module Availability

Semester 1

Prerequisites / Co-requisites

None

Module content

Indicative content includes:

• Popular software applications, document processing, spreadsheets and databases, chemical examples


• Use of CHEMDRAW including curly’ arrows, microanalysis, MS calculations, activation curves, orbitals, etc. 2D to 3D using MOE.


• Statistics and data handling – mean (A and Gm), median, mode, standard deviation, relative standard deviation, probability, confidence intervals, normal distributions, histograms, population data and hypothesis testing (Q, F and T tests).

• Mathematics Group A (Fundamental): Numbers, scientific notation and significant figures; aspects of algebra: simplification, rearranging equations, factorising; graphs: pictorial representation of functions, straight lines, plotting non-linear functions; powers, exponentials and logarithms: non-linear functions; simple matrix algebra involving addition, subtraction and multiplication of matrices. The matrix inverse and determinants. Use of matrix algebra in solving sets of linear equations; simple trigonometry, the sine and cosine rule, application to molecular geometry; introduction to vectors and vector operations. Introduction to differentiation; maxima and minima; chain, product and quotient rules; introduction to integration; indefinite and definite integrals.


• Mathematics Group B (Advanced): Non-linear equations and their methods of solution; interpolation of 1st and higher order functions using difference formulae; understand the nature of matrices and simple matrix algebra and use matrices and determinants in solving sets of linear simultaneous equations using a range of methods pathological systems; application to sets of non-linear equations; vector algebra addition and subtraction of vectors, scalar (dot) product and vector (cross) product vector derivatives; introduction to complex numbers; Maclaurin and Taylor series expansions. Advanced differentiation and integration the chain, product and quotient rules; partial differentiation and polar coordinates; first- and second-order differential equations.

Assessment pattern

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide you with the opportunity to demonstrate statistical, computing, and mathematical skills as appropriate for your level of study in Chemistry. Thus, the summative assessment for this module consists of:

• CHEMDRAW coursework: presentation of chemical information (LO2) (23%)


• MOE molecular modelling coursework: use of MOE software (LO1) (22%)


• Examination: Closed-book exam (2 hrs). Covers the statistical skills content and the mathematics content appropriate to your assigned group (reflected in your academic transcript) (LO3-7) (55%)

• Tutorial sessions: feedback will be given to you by the tutor based on your answers to the assigned problems in your preparation before the session (LO3-7).


• In-lecture problems: opportunities for feedback are created through your engagement with and response to in-lecture questions/problems posed by the lecturer (LO3-7).


• Self-test resources in SurreyLearn: automated feedback is provided on self-tests based on content covered in the lectures (LO3-7).


• Formative ChemDraw coursework: completed after the hands-on workshops, after which you will receive formal written feedback (LO2)

• 1:1 feedback on exam papers by appointment with the module coordinator


• 1:1 feedback on formative and summative coursework by appointment with the module coordinator

Module aims

• Improve your awareness of quantitative methods of analysis, including mathematical and statistical calculations applied to chemistry.
• Develop an understanding of the various computational methods that are available to help solve numerical problems in chemistry, as well as present chemical information in a standard format.

Learning outcomes

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

1. Give you sufficient numerical skills to complete the degree programme’s work, particularly in the laboratory and research project,


2. Develop your competency in presentation of chemical information suitable for a formal report,


3. Enable you to conduct simple calculations using MOE in molecular mechanics,


4. Develop your statistical skills to enable you to prepare descriptive statistics and carry out appropriate hypothesis testing using experimental data.

• Lectures in mathematics & statistics: a mixture of presentation from a lecturer, with built-in problems and questions based on the material. You will be invited to contribute solutions or comments on the problems and receive feedback.

• Tutorial sessions: you will be assigned in advance a question set ranging from simple calculations to application of the lecture content to more advanced problem solving. You should complete these to the best of your ability before the session, in which the tutor will give feedback on your solutions and guide the group to successful solution of the problems.

• Hands-on computing workshops: enhance your digital capabilities through an active approach to learning use of ChemDraw and MOE.

• Self-study material including self-tests is provided for you on SurreyLearn, which supports the lecture material.

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: CHE1040

Other information

Within the University’s broader education strategy, this module particularly develops students’ Digital Capabilities. Students will likely for the first time use dedicated Chemistry software to present and synthesise new information. This includes the ChemDraw software which is used to present chemical information in a professional manner as well as predict chemical properties; this software forms the basis of your reporting practice across other modules and for graduate chemists. Through an introduction to the MOE software package, students begin their first steps in computational chemistry, a growing field relevant to both academia and industrial practice in the 21st century, enhancing your Employability and preparing you for further computational study in your degree programme.  

The requirement of some significant amount of self-study in the first semester of the programme, particularly in the mathematics section also helps develop students’ your Resourcefulness & Resilience. You’ll be required to engage in self-study to identify your areas for development in maths, or expansion if you are studying the Advanced pathway (effort that is recognised through your academic transcript). 

This module supports learning across all programmes in Chemistry. Particular relevance can be found in the following modules (modes of support highlighted in brackets): 

• CHE1044, CHE2035 (statistical skills) 

• CHE1041, CHE1042, CHE2041, CHE2042 (presentation of chemical information) 

• CHE1043, CHE2043 (mathematics)  

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.