RESEARCH METHODS 2 - 2024/5

Module Overview

The module provides students with guidance toward their MRes dissertation. Crucial part of this module is the presentation of faculty research. Faculty present their research agenda and their current interest. This has two main purposes. First, students are exposed to frontier research topic in various fields in economics. Second, this facilitates the matching of students and supervisors. A short intense computational course is offered. In addition, there are weekly meeting in which each students presents its preliminary ideas to get feedback from his peers and from module leader.

Module provider

Economics

Module Leader

MARTELLOSIO Federico (Economics)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): N/A

Module Availability

Semester 2

Prerequisites / Co-requisites

None

Module content

Indicative content includes:

• Faculty Presentation


• Computing Short course (R, Matlab, Phyton)


• Construct a literature review


• Formulate a Research Proposal


• Get acquainted with frontier topics in the various field

Assessment pattern

Alternative Assessment

None

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate their ability to summarise and critically discuss literature in top peer reviewed journals, and identify a suitable research question and structure a proposal to engage with this question.

Thus, the summative assessment for this module consists of:

• Individual presentation (30 minutes)

• Individual research proposal (3000 words)

Formative assessment

Class participation and discussion.

Feedback

Students will receive verbal feedback on their individual oral presentation and written feedback on their submitted research proposal.

Module aims

• The aim is to introduce students to independent research. In particular, the module focuses skills and technique necessary to a research paper. Focus is on how to formulate an idea, how to read the relevant literature, how to write an introduction.

Learning outcomes

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

Introduce students to academic research in economics and enable them to interpret, reproduce and discuss economic journal articles in top general or top field economics journals.

The learning and teaching methods include:

Interactive weekly small group lectures and tutorials/labs designed to enable students to engage with frontier topics in economics, identify a research question and structure an economics paper.

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ECOM067

Other information

Surrey's Curriculum Framework is committed to developing graduates with strengths in Employability, Digital Capabilities, Global and Cultural Capabilities, Sustainability and Resourcefulness and Resilience.

This module is designed to allow students to develop knowledge, skills, and capabilities in the following areas:

Employability: Through the module’s learning and assessment activities, students develop independent judgement, collaborative skills as part of a small group with a common goal, and cognitive skills that enable them to reflect critically on their own practice. They also sharpen their ability to analyze and synthesize ideas and methods.

Digital Capabilities: Students will be implementing some of the tools taught in class using program like R and Matlab.

Programmes this module appears in

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2024/5 academic year.