CHEM1002: Introduction to Quantitative Chemistry

Course Organizer: Dr Katherine B Holt

Lecturers: Dr Jamie Christie, Dr Andy Kerridge, Dr Andrew S Wills.

Normal prerequisite: GCSE Maths

Units: 1/2

Course Evaluation: 2011/12 (pdf)

Moodle page: http://moodle.ucl.ac.uk/course/view.php?id=3499


The aim of this course is to provide those students who have not studied 'A' level Mathematics with the basic mathematical skills required for a degree in Chemistry.


By the end of the course, students will be able to

  • Manipulate simple algebraic expressions
  • Sketch simple functions
  • Use geometric progressions and series
  • Perform differentiation and integration of functions with one variable
  • Perform statistical analysis of data
  • Use the Excel spreadsheet package

Course Structure

  • Lectures: 39
  • Tutorials: 0
  • Labs: 0


  • Exam: 50% (3 X 1hours)
  • Lab: 0%
  • Coursework: 50%

Recommended Texts

  • "Foundations of Science Mathematics" by D S Sivia and S G Rawlings, Oxford Chemistry Primers Series (no 77), Oxford University Press.
  • "Maths for Chemists" Vol I and II, MCR Cockett and G Doggett, Royal Society of Chemistry, 2004
  • "Maths for Chemistry" by Paul Monk, Oxford University Press, 2006

Further Reading

  • "Foundations of Science Mathematics: worked problems" by D S Sivia and S G Rawlings, Oxford Chemistry Primers Series (no 82), Oxford University Press.

Course Outline

This is a core 1st year Chemistry course for Chemistry with Management and Chemistry with a European Language students who do not have an 'A' level in Mathematics.

Students studying this course take a selection of the modules from the 1001 course. Assessment on this course will be made on the basis of coursework (50%) and written examinations (50 minutes each) at the end of each module (50%). There is no final examination for this course.

Module 1: Fundamentals of algebra (ASW)
Equations; functions; powers; rearranging equations; factorising; solving simultaneous equations; quadratic equations; sketching functions; logarithms and exponentials; trigonometric functions; series and progressions.

Module 2: Calculus of functions with one variable (JC)
Differentiation; simple rules for differentiation; differentiating special functions (e.g. exp, ln, sin, cos); product rule; quotient rule; functions of functions; second derivatives; integration; evaluating integrals; properties of integrals; integration by substitution; integrating by parts; solving differential equations by separation of variables.

Module 3: Statistics and data analysis (AK)
Students will use the Excel spreadsheet package to perform statistical analysis of data in this module. Mean; deviation from the mean; symmetry of data; probability distributions; permutations and combinations; Gaussian distribution; analysis of more than one variable; regression analysis; error propagation (including logs and exponentials).