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 Y Li
Economics
Yan.Li3@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2021-22 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 12

12

      24

48
Timetable (if known) 60 mins X 1 totaling 12
 
120 mins X 1 totaling 12
 
         
Private Study 102
TOTAL HOURS 150

Assessment

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

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 – Online Asynchronous Learning Materials
Description: The key theory will be introduced via weekly 2 hour asynchronous videos
Unscheduled Directed Student Hours: 24
Attendance Recorded: No

Teaching Method – Seminar
Description: 2 hour seminars every other week will practice and build on the material covered in lectures
Scheduled Directed Student Hours: 12
Attendance Recorded: Yes

Teaching Method: Synchronous Lecture
Scheduled Directed Student Hours: 12
Attendance Recorded: No

Self Directed Learning Hours: 102

Costs Information:
There are no specific costs attached to this module.

This module is a pre-requisite for the following modules:
ECON211
ECON212
ECON221
ECON222
ECON251
ECON322
Skill/Other Attribute 1:
"
Problem solving skills
"
How this is developed:
"Developed via lectures, tutorials, and independent stu dy"

Skill/Other Attribute 2:
"
Numeracy
"
How this is developed:
"Developed via lectures, tutorials, and independent study"

Skill/Other Attribute 3:
"
Lifelong learning skills
"
How this is developed:
"Developed via lectures, tutorials, and independent study"

Skill/Other Attribute 4:
"
Adaptability
"
How this is developed:
"Developed mainly via working through tutorial questions, and independent study"


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.