Introduction to Maths for Social Statistics

 

Date: 15th October 2012

Duration: 1 day (10.00am — 5:00pm)

Level: Introductory

Course Fee: £195 (£140 for those from educational and charitable institutions)

CCSR offers 5 free places to research staff and students within the Faculty of Humanities at the University of Manchester and the North West Doctoral Training Centre. NO MORE FREE PLACES FOR STUDENTS IN HUMANITIES LEFT ON THIS COURSE.

Course Leader: Dr. Natalie Shlomo

Course Requirements: None. Please bring a calculator.

Course Objectives

This course introduces social scientists to the essential mathematics that are utilized in social statistics. After completing this course, students should have a basic understanding of mathematical concepts that form the basis of statistical inference and modelling in the social sciences.      

Course Summary

The course covers the following essential topics in mathematics: algebra and common symbols, series, limits and continuity, differentiation, maxima and minima of a function, integration, Taylor series expansion, vector and matrix theory. There will be exercises and examples of the use of mathematics in statistical applications.  

 

Target Audience

The course is designed for those interested in pursuing more advanced courses on statistical methods for the social sciences and does not presume any previous knowledge. It is recommended that the students carry out pre-reading according to the reading list below in preparation for the course.  

Preliminary Reading

Bostock, L. and Chandler, S. (1990). Core Maths for A Level. London: Stanley Thornes LTD. Hagle, T. (1995). Basic Math for Social Scientists: Concepts: 108 (Quantitative Applications in the Social Sciences). London: Sage.