CHEM1002: An 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
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
- Lectures: 39
- Tutorials: 0
- Labs: 0
- Exam: 50% (3 X 1hours)
- Lab: 0%
- Coursework: 50%
- "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
- "Foundations of Science Mathematics: worked problems" by D S Sivia and S G Rawlings, Oxford Chemistry Primers Series (no 82), Oxford University Press.
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).