ULMS Electronic Module Catalogue

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title QUANTITATIVE METHODS FOR ACCOUNTING AND FINANCE
Code ACFI111
Coordinator Dr E Moon
Economics
E.Moon@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2019-20 Level 4 FHEQ First Semester 15

Pre-requisites before taking this module (other modules and/or general educational/academic requirements):

ENVS203 RESEARCH SKILLS (GEOGRAPHY AND ENVIRONMENTAL SCIENCE) 

Modules for which this module is a pre-requisite:

 

Programme(s) (including Year of Study) to which this module is available on a required basis:

 

Programme(s) (including Year of Study) to which this module is available on an optional basis:

 

Teaching Schedule

  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 22

  11

    11

44
Timetable (if known)           60 mins X 1 totaling 11
 
 
Private Study 106
TOTAL HOURS 150

Assessment

EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Assessment 2: Mid term test (Unseen) Assessment Type: Written Exam Duration: 60 minutes Weighting: 10% Reassessment Opportunity: Yes Penalty for Late Submission: There is no opportunity   1 hour    10       
Assessment 1: Written Unseen Examination Assessment Type: Written Exam Duration: 2 hours Weighting: 75% Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL penalty appl  2 hours    75       
CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Assessment 3: Weekly problem sheet Assessment Type: Coursework Duration/Size: 1 worksheet weekly from weeks 3 - 12 Weighting: 15 % Reassessment Opportunity: Yes Penalty for Late Submission  1 worksheet weekly f    15       

Aims

The module aims to provide an introduction to quantitative methods that will assist students in establishing basic mathematical, quantitative and statistical skills for the study of accounting and finance.


Learning Outcomes

(LO1) Demonstrate a basic understanding of mathematical tools and thier applications to accounting, finance and economics

(LO2) Understand the fundamental concepts of statistics and probability

(LO3) Understand basic principles of random sampling, the nature of sampling error and the need for estimation

(LO4) Explain the rules of hypothesis testing

(LO5) Explain the relation between two random variables using correlation and regression analyses

(S1) Problem solving skills

(S2) Numeracy

(S3) Teamwork

(S4) IT skills


Teaching and Learning Strategies

Teaching Method: Lecture
Description: A combination of descriptive slides and example questions followed by questions that the students are required to attempt during the lecture time to consolidate their understanding of the preceding explanatory.
Scheduled Directed Student Hours: 22
Attendance Recorded: Yes
Notes: 2 hours per week

Teaching Method: Tutorial
Description: a set of questions will be posted to VITAL following each lecture and students are expected to complete them in time for the corresponding tutorial. The tutorial leader will then go through answers to each of the questions in the tutorial session. If there is time, additional questions will be set and attempted during the tutorial. Each tutorial to run weekly from week 2 to week 12 and will last for 1 hour.
Scheduled Directed Student Hours: 11
Attendance Recorded: Yes

Teaching Method: Other
Description: Drop in class: to run weekly for 1 hour. This is a purely voluntary dr op-in session where students can seek clarity on the lecture notes / tutorial questions / assessed coursework / points of confusion. Once issues are solved, students are not required to stay for the whole hour
Scheduled Directed Student Hours: 11
Attendance Recorded: No
Notes: Drop in Clinics (1 hour per week from week 2)

Self-Directed Learning Hours: 106
Description: In addition to attendance at lectures and seminar classes, students have about 100 hours of private study time for this module. This time should be used to read the course textbooks, work through examples, solve problems and exercises in addition to those covered in lecture.

Modules for which this is a pre-requisite
This is a pre-requisite for the following:
ACFI204
ECON233

Skills/Other Attributes Mapping

Skills / attributes: IT skills
How this is developed: Taught
Mode of assessment (if applicable): Written Unseen Examination, Mid term test (Unseen) and Weekly problem sheet

Skills / attributes: Teamwork
How this is developed: Taught
Mode of assessment (if applicable): Written Unseen Examination, Mid term test (Unseen) and Weekly problem sheet

Skills / attributes: Numeracy
How this is developed: Taught
Mode of assessment (if applicable): Written Unseen Examination, Mid term test (Unseen) and Weekly problem sheet

Skills / attributes: Problem solving skills
How this is developed: Taught
Mode of assessment (if applicable): Written Unseen Examination, Mid term test (Unseen) and Weekly problem sheet


Syllabus

 

Revision of basic maths skills: indices, algebra, transposition of formulae, solving simultaneous equations and substitution;
Linear functions, solutions, application of simultaneous equations to points of intersection;
Non-linear functions: quadratics and the quadratic formula, polynomials, exponents, exponentials, logarithmic functions (preceded by revision of comman and natural logarithms);
The various rules of differentiation;
Partial derivatives; The mathematics of finance: time value of money, simple and compound interest and investment growth, application of the exponential to growth formulae and continuous compounding, discounting, present valuing, investment appraisal, annuities and perpetuities, geometric series and their application to the dividend discount model;
Revision of basic stats and presentation formats (graphs);
Introduction to probability and the related distributions;
The chi-squared distribution, sampling error and estimation;
Correlation and regression.


Recommended Texts

Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.