Module Catalogues, Xi'an Jiaotong-Liverpool University   
 
Module Code: CHE107
Module Title: Math Skills for Chemists
Module Level: Level 1
Module Credits: 5.00
Academic Year: 2017/18
Semester: SEM1
Originating Department: Chemistry
Pre-requisites: N/A
   
Aims
Introduce basic mathematical tools to Chemistry-Major students aiming towards practical problem-solving in Chemistry area.
Learning outcomes 
Students are expected to acquire the following key Math skills:


A) Least Square fitting

B) Data smoothing and noise filtration

C) Numerical differentiation and integration

D) Nonlinear parameter estimation

E) Convolution and de-convolution

F) Digital Fourier Transformation

G) Probability

H) Statistics
Method of teaching and learning 
Lectures and tutorials
Syllabus 
The lectures cover the following topics:

A) Least square fitting

B) Savintzky-Goley Method for Digital Data smoothing and noise filtration

C) Applications of numerical differentiation and integration

D) Non-linear curve fitting

E) Nonlinear parameter estimation

F) De-convolution and peaks resolving

G) Fourier Transformation, FFT

H) Error Analysis

I) Probability

J) Introduction to Statistics
Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 26     39      85  150 

Assessment

Sequence Method % of Final Mark
1 Workshop 10.00
2 Workshop 18.00
3 Workshop 18.00
4 Workshop 18.00
5 Workshop 18.00
6 Workshop 18.00

Module Catalogue generated from SITS CUT-OFF: 10/22/2017 10:32:01 AM