Undergraduate Programme and Module Handbook 2024-2025
Module ECON2121: INTERMEDIATE ECONOMIC METHODS
Department: Economics
ECON2121: INTERMEDIATE ECONOMIC METHODS
| Type | Tied | Level | 2 | Credits | 20 | Availability | Not available in 2024/2025 | Module Cap | None. | Location | Durham |
|---|
| Tied to | L100 |
|---|---|
| Tied to | L106 |
| Tied to | L109 |
| Tied to | L103 |
| Tied to | L104 |
| Tied to | L105 |
| Tied to | LL12 |
| Tied to | LL02 |
| Tied to | LL01 |
| Tied to | L1R1 |
| Tied to | VL52 |
| Tied to | VLL6 |
| Tied to | VLLA |
| Tied to | CFG0 |
| Tied to | CFC0 |
| Tied to | FGC0 |
Prerequisites
- Principles of Economics (ECON1011) AND EITHER Economic Methods (ECON1021) OR Calculus I (MATH1061) AND Linear Algebra I (MATH1071) AND Probability I (MATH1597) AND Statistics I (MATH1617)
Corequisites
- None.
Excluded Combination of Modules
- None.
Aims
- To develop critical understanding and knowledge of quantitative methods in economics and finance
- To build on the skills obtained in Level 1, and provide a grounding for further study in Level 3
- To offer the opportunity to develop some key skills
Content
- Using specific examples from Economics, the module develops key mathematical tools such as:
- Systems of linear equations
- Matrix algebra
- Introduction to determinants
- Second order conditions for multivariate optimization.
- Implicit differentiation and comparative statics.
- Natural Exponential Functions in Financial Mathematics
- Further Applications of Natural Exponential Functions
- Integral Calculus: the Definite Integral and Indefinite Integral
- First-order Ordinary Differential Equations
- First-order Difference Equations
Learning Outcomes
Subject-specific Knowledge:
- At the end of the module, students should:
- be familiar with mathematical techniques and their applications in economics
Subject-specific Skills:
- Being able to apply mathematical tools to solve problems in economics
Key Skills:
- Written Communication - e.g. through summative assessment.
- Planning, Organization, and Time Management - e.g. by preparing for examinations.
- Problem Solving and Analysis - e.g. by applying the necessary analytical and quantitative skills in intermediate methods in economics and finance in undertaking assessed work.
- Numeracy - e.g. by applying core mathematical and statistical skills to answer a range of examination questions.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Teaching is by lectures and workshops. Learning takes place through attendance at lectures, preparation for and participation in workshops, and private study. Formative assessment to help prepare for examination. Summative assessment is by means of a written examination.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| Lectures | 20 | 1 per week | 1 hour | 20 | |
| Workshops | 8 | 4 in Term 1, 4 in Term 2 | 1 hour | 8 | ■ |
| Revision Lectures | 2 | 1 per week in Term 3 | 1 Hour | 2 | |
| Preparation and Reading | 170 | ||||
| Total | 200 |
Summative Assessment
| Component: Examination | Component Weighting: 100% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| One in-person written examination | 2 hours | 100% | Same |
Formative Assessment:
One written piece of work to prepare students for the summative exam.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University