Module Catalogues, Xi'an Jiaotong-Liverpool University   
Module Code: ECO111
Module Title: Quantitative Methods
Module Level: Level 1
Module Credits: 5.00
Academic Year: 2020/21
Semester: SEM1
Originating Department: International Business School Suzhou
Pre-requisites: N/A
This module aims to provide students with an introduction to quantitative methods that will develop the mathematical, quantitative and statistical skills required for the study of accounting, finance, economics and related subjects later in the degree programme.
Learning outcomes 
A. demonstrate a basic understanding of mathematical tools and their applications to accounting, finance and economics;

B. understand the fundamental concepts of statistics and probability;

C. understand basic principles of random sampling, the nature of sampling error and the need for estimation & the rules of hypothesis testing;

D. explain the relation among random variables by using correlation and regression analyses;

Method of teaching and learning 

There are thirteen 2-hour lectures, supported by weekly tutorials or computer laboratory and software practice. Lectures consist of a presentation of each topic as well as a discussion on how to solve more elaborate problems. Tutorials allow students to discuss the subject matter, and develop their mathematical problem solving skills under the direction of the teaching staff. Laboratory and software practice introduces the software used in empirical analysis and helps students to apply quantitative methods to solve real examples.

It is expected that students spend their self-study time practicing problem solving, using textbook questions, previous years’ exam questions and any other extra material provided by the lecturer.

Material is placed in a broad business context during the lectures and the links between accounting and finance and wider business, economic, and social issues are established.

1) Linear programming

2) Revenue, cost and profit functions and break-even analysis.

3) Time value of money: simple and compound interest, discounting and present value, investment appraisal, annuities and other financial instruments.

4) Fundamental concepts of probability.

5) Probability distributions: normal distribution, binomial distribution, and Poisson distribution.

6) Sampling, distribution of sample means and the central limit theorem.

7) Hypothesis testing: null vs. alternative hypothesis, and one- and two-tailed tests.

8) Correlation and Regression
Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 26     9  3    112  150 


Sequence Method % of Final Mark
1 Mid-Term Test 30.00
2 Final Exam 70.00

Module Catalogue generated from SITS CUT-OFF: 6/6/2020 9:50:17 PM