Introductory Mathematics for Political Science
This information is for the 2020/21 session.
This course is available on the MSc in Political Science and Political Economy. This course is available with permission as an outside option to students on other programmes where regulations permit.
This course is strongly recommended for MSc Political Economy and Political Science students. It is available for students from other programmes with permission of the instructor.
The aim of this pre-sessional course is to provide students with the essential mathematical background for the core courses in the MSc PSPE programme. The course will cover key concepts in algebra (definition of function, derivation, limits), maximization problems (constrained and unconstrained, Envelop and Implicit Function Theorems), and some notions of probability (Bayes' rule, random variables).
This course provides 10 hours of introductory sessions at the beginning of the Michaelmas Term. This year, some or all of this teaching will be delivered through a combination of online and on-campus sessions.
Please note that all the teaching for this course will take place in Michaelmas Term Week 0 (21-25 September 2020).
There is no required reading for this course.
Important information in response to COVID-19
Please note that during 2020/21 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.
Total students 2019/20: 21
Average class size 2019/20: Unavailable
Controlled access 2019/20: No
Value: Non-credit bearing
Personal development skills
- Problem solving
- Application of numeracy skills
- Specialist skills