ECO-10027 - Module Specification
Keele Business School
Faculty of Humanities and Social Sciences
For academic year: 2022/23 Last Updated: 19 January 2023
ECO-10027 - Quantitative Methods II
Coordinator: Rumman Khan Room: SIH UG.020 Tel: 01782733781
School Office: 01782 733094
Programme/Approved Electives for 2022/23
Available as a Free Standing Elective
Co-requisites
None
Prerequisites
None
Barred Combinations
None
Description for 2022/23
This module is designed to familiarise students following Economics, Finance and related programmes of study, with the essential quantitative methods to understand Economic, Finance and related discipline theories and applications. These comprise the rules of calculus and its use in optimisation problems together with the ability to employ inferential statistics, knowledge of probability and probability distributions, and the ability to test hypotheses using information drawn from samples and populations.
Aims
Building on Quantitative Methods I, this module familiarises students with the essential calculus and statistics methods that are necessary for the study of Economics, Finance and related disciplines. The module looks at methods useful for handling linear and other simple forms of equations, for the analysis of optimising behaviour, descriptive statistics, and the methodology for sampling.
Intended Learning Outcomes
recognize the distinction between sample level and population level information in the context of economics and finance: 1,2
recognize and apply the economic meaning and relevance of the "margin" and utilize a variety of mathematical tools to apply the concept to a range of economic and finance problems: 1,2
use calculus to find optimal (constrained and unconstrained) values in a range of economic and business applications: 1,2
apply sample level information to draw inferences about population behaviour in the context of a range of business-related problems: 1
recognize and apply the economic meaning and relevance of the "margin" and utilize a variety of mathematical tools to apply the concept to a range of economic and finance problems: 1,2
use calculus to find optimal (constrained and unconstrained) values in a range of economic and business applications: 1,2
apply sample level information to draw inferences about population behaviour in the context of a range of business-related problems: 1
Study hours
Lectures - 18 hours
Seminar/Tutorial classes - 6 hours
Preparation for classes - 36 hours
Independent study - 88 hours
Exam - 2 hours
Seminar/Tutorial classes - 6 hours
Preparation for classes - 36 hours
Independent study - 88 hours
Exam - 2 hours
School Rules
Module pre-requisites: either Quantitative Methods I module or equivalent.
Description of Module Assessment
2-hour exam
Computer-based Test which is available for 24-hours but once students start the exam, they should finish and submit their answer in 2 hours otherwise the system will submit the answer automatically.
2: Class Test weighted 40%
Midterm examination
Computer-based Test on material covered in the first part of the module, which is available for 24-hours during teaching week 6, but the students once they start the exam, they should finish and submit their answer within 50 minutes otherwise the system will submit the answer automatically.