Research Methods II
| Module title | Research Methods II |
|---|---|
| Module code | BEEM143 |
| Academic year | 2024/5 |
| Credits | 15 |
| Module staff | Professor Max Troshkin (Lecturer) |
| Duration: Term | 1 | 2 | 3 |
|---|---|---|---|
| Duration: Weeks | 11 |
Module description
This module builds on BEEM136 Research Methods I and covers further analytical and computational techniques useful in economics research.
Module aims - intentions of the module
The module goal is to equip students with a set of tools that allows you to solve economic models in an appropriate way.
Intended Learning Outcomes (ILOs)
ILO: Module-specific skills
On successfully completing the module you will be able to...
- 1. understand and apply advanced approaches to solving economics models;
- 2. manipulate abstract mathematical concepts;
ILO: Discipline-specific skills
On successfully completing the module you will be able to...
- 3. understand and critically analyse economics arguments;
- 4. develop and use economics models;
ILO: Personal and key skills
On successfully completing the module you will be able to...
- 5. identify relevant and tractable research problems
- 6. identify relevant solution and analysis methods
- 7. work independently and responsibly on complex research questions
Syllabus plan
Topics useful in current research, which vary but may include:
- Differential equations
- Functional analysis
- Calculus of variations
- Optimal control
- Dynamic optimization
Learning activities and teaching methods (given in hours of study time)
| Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
|---|---|---|
| 33 | 117 | 0 |
Details of learning activities and teaching methods
| Category | Hours of study time | Description |
|---|---|---|
| Scheduled Learning and Teaching Activity | 33 | Lectures (3hr per week) |
| Guided Independent Study | 117 | Background reading, preparation for classes and assessments |
Formative assessment
| Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|
| Discussions | Varies | 1-7 | Oral/Written |
Summative assessment (% of credit)
| Coursework | Written exams | Practical exams |
|---|---|---|
| 100 | 0 | 0 |
Details of summative assessment
| Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|---|
| Assignment | 100 | The assessment structure on this module is subject to review and may change before the start of the new academic year. Any changes will be clearly communicated to you before the start of term and if you wish to change module as a result of this you can do so in the module change window | 1-7 | Oral/written |
Details of re-assessment (where required by referral or deferral)
| Original form of assessment | Form of re-assessment | ILOs re-assessed | Timescale for re-assessment |
|---|---|---|---|
| Assignment | Assignment ) | 1-7 | Ref/def Period |
Indicative learning resources - Basic reading
- Kamien, M., Schwartz, N., Dynamic Optimization, 2nd edition, 2000
- Luenberger, D., Optimization by Vector Space Methods, 1969
- Judd, K.L. (1998). Numerical methods in economics. Cambridge, MA: MIT Press.
| Credit value | 15 |
|---|---|
| Module ECTS | 7.5 |
| Module pre-requisites | BEEM136. Only available to students on the MRes Economics and MRES Economics (PHD Pathway) programmes. |
| Module co-requisites | None |
| NQF level (module) | 7 |
| Available as distance learning? | No |
| Origin date | 24/06/2019 |
| Last revision date | 14/04/2023 |
