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 MATHEMATICAL ECONOMICS
Code ECON113
Coordinator Dr RR Routledge
Economics
R.R.Routledge@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2023-24 Level 4 FHEQ First Semester 15

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

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 24

   10

     5

 39
Timetable (if known)              
Private Study 111
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Assessment 5: Written Open Book Examination Assessment Type: Written Exam   Duration: 2 hours  Weighting: - 60%  Reassessment Opportunity: Yes   Penalty for Late Submission: Standard UoL pe  2    60       
Assessment 4: Mid-term MCQ test  Assessment Type: Written Exam  Duration: 1 hour   Weighting: 20%  Reassessment Opportunity: No Penalty for Late Submission: Standard UoL penalty applies   A  1    20       
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Synchronous Assessment 1: Take home Self-Assessment Assessment Type: Written Exam  Duration: 1 hour   Weighting: 5%  Reassessment Opportunity: No   Penalty for Late Submission: NO LATE   1    5       
Synchronous Assessment 2: Tutorial Question Set Assessment with Peer Marking Assessment Type: Written Exam  Duration: 1 hour   Weighting: 7.5%  Reassessment Opportunity: No   Penalty f  1    7       
Synchronous Assessment 3: Tutorial Question Set Assessment with Peer Marking Assessment Type: Written Exam  Duration: 1 hour   Weighting: 7.5%  Reassessment Opportunity: No   Penalty f  1    7       

Aims

The aims are: - to prepare students for the more advanced Year 2 Mathematical Economics II option, which is a prerequisite for certain Year 3 modules. - to prepare students for the econometrics sequence starting in Year 2. - to develop mathematical maturity and problem solving skills.

Learning Outcomes

(LO1) An understanding of key techniques of proof

(LO2) An understanding of comparative statics and calculus methods including integration, multivariate optimisation and constrained optimisation

(LO3) An ability to solve economic problems using the mathematical techniques introduced during lecture hours.

(S1) Problem solving skills

(S2) Numeracy

(S3) Lifelong learning skills

(S4) Adaptability

Teaching and Learning Strategies

Teaching Method – Lecture
Scheduled Directed Student Hours: 24
Attendance Recorded: No

Teaching Method –Tutorial
Description: 2 hour tutorials every other week will practice and build on the material covered in lectures
Scheduled Directed Student Hours: 10
Attendance Recorded: Yes

Teaching Method: Study
Scheduled Directed Student Hours: 5
Attendance Recorded: No

Self Directed Learning Hours: 111

This module is a pre-requisite for the following modules:
ECON211 / ECON212 / ECON221 / ECON222 / ECON251 / ECON322

Skills Mapping

Skill/Other Attribute 1: Problem solving skills
How this is developed: Developed via lectures, tutorials, and independent study
Mode of assessment (if applicable)

Skill/Other Attribute 2: Numeracy"
How this is developed: Developed via lectures, tutorials, and independent study
Mode of assessment (if applicable)

Skill/Other Attribute 3: Life long learning skills
How this is developed: Developed via lectures, tutorials, and independent study
Mode of assessment (if applicable)

Skill/Other Attribute 4: Adaptability
How this is developed: Developed mainly via working through tutorial questions, and independent study
Mode of assessment (if applicable)

Syllabus
 

Techniques of proof Review of univariate functions, differentiation, and single-variable optimisation Introduction to Integration Functions of many variables Tools for comparative statics Multivariate optimisation Constrained optimisation


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