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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 YY Oezcelik
Economics
Yigit.Oezcelik@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2025-26 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

  12

    5

41
Timetable (if known)              
Private Study 109
TOTAL HOURS 150

Assessment

EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Assessment 4: Written Examination Assessment Type: Written Exam, Managed by SAS Duration: 2 hours Weighting: 70% Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL penalty    70       
Assessment 3: Mid-term MCQ test  Assessment Type: Written Exam  Duration: 1 hour   Weighting: 20%  Reassessment Opportunity: No Penalty for Late Submission: Standard UoL penalty applies   Anonym    20       
CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Assessment 2: Tutorial Question Set Assessment with Peer Marking Assessment Type: Written Exam  Duration: 1 hour   Weighting: 5%  Reassessment Opportunity: No   Penalty for Late Submission: NO LA         
Assessment 1: Tutorial Question Set Assessment with Peer Marking Assessment Type: Written Exam  Duration: 1 hour   Weighting: 5%  Reassessment Opportunity: No Penalty for Late Submission: NO LATE         

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) Students will be able to evidence an understanding of key techniques of proof

(LO2) Students will be able to develop and demonstrate an understanding of comparative statics and calculus methods including integration, multivariate optimisation and constrained optimisation

(LO3) Students will be able 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: Yes

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

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

Self Directed Learning Hours: 109

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

Skills Mapping

Skill: Problem solving skills
How this is developed: This will be developed via solving mathematical problems via seminar discussions and solving the Tutorial Question Set Assessments with Peer Marking and Midterm and Final exam.
Mode of assessment (if applicable) Tutorial Question Set Assessments, Midterm and Final Exam

Skill: Numeracy"
How this is developed: This will be developed via solving mathematical problems in lectures, seminar discussions and solving Tutorial Question Set Assessments with Peer Marking, Midterm and Final exam.
Mode of assessment (if applicable): Tutorial Question Set Assessments, Midterm and Final Exam

Skill: Lifelong learning skills
How this is developed: This will be developed through application of mathematical problem solving concepts to real world questions such as profit maximisation in in-class discussions, midterm exam, final exam and independent study. The peer-marking also facilitates learning from each other.
Mode of assessment (if applicable): Tutorial Question Set Assessments, Midterm and Final Exam

Skill: Adaptability
How this is developed: Students will become adaptable by taking into account their peer-markers comments learning from them and also adapt their knowledge to solve a variety of mathematical problems.
Mode of assessment (if applicable) Tutorial Question Set Assessments, Midterm and Final Exam


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.