MATHEMATICS, COMPUTING AND STATISTICAL SKILLS - 2020/1
Module code: CHE1040
To introduce key skills in maths, computing and statistics
WATSON David (Chemistry)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 4
JACs code: G170
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
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.
• 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 type||Unit of assessment||Weighting|
|Examination||Examination 1.5 hr||55|
The assessment strategy is designed to provide students with the opportunity to demonstrate statistical and IT skills and mathematical ability.
Thus, the summative assessment for this module consists of:
• IT Coursework, 45% (LO 1,2)
Consisting of Word processing assignment (15%)
Chemdraw in-class test (15%)
MOE assignment (15%).
Formal Maths Exam, 1.5 hours, 55% (LO 3 to 7)
Hands on guidance to the coursework will be given
Individual and in class feedback will be given on the progress in each learning outcome
- improve the students awareness of quantitative methods of analysis, including fundamental 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.
|001||Understand the various computational methods that are available to help solve a range of numerical problems in Chemistry||PT|
|002||Gain knowledge of the use of EXCEL for chemical calculations||CKPT|
|003||Understand and apply appropriate statistical methods to problems in chemistry||CKPT|
|004||Evaluate differentials and integrals of elementary functions||CK|
|005||Understand the use of differentiation and integration in solving chemical problems||CK|
|006||Evaluate (total and partial) differentials and integrals of a range of functions||CK|
|007||Understand the use of differentiation and integration in solving chemical problems||CK|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Workshop Hours: 12
Independent Study Hours: 117
Lecture Hours: 21
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
• give the student sufficient numerical, statistical and computational skills to cope with the programme and later professional life.
The learning and teaching methods include:
• a hands on workshop approach used in development of IT skills (12 hours).
• formal lectures for the Maths and Statistics (21 hours)
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 for MATHEMATICS, COMPUTING AND STATISTICAL SKILLS : http://aspire.surrey.ac.uk/modules/che1040
Programmes this module appears in
|Chemistry BSc (Hons)||1||Compulsory||A weighted aggregate mark of 40% is required to pass the module|
|Chemistry with Forensic Investigation 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|
|Chemistry with Forensic Investigation 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 2020/1 academic year.