MACROECONOMICS - 2024/5
Module code: ECOM021
This module provides an in-depth review of the building blocks of macroeconomic theories and introduces macroeconomic datasets at the graduate level.
VALAITIS Vytautas (Economics)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: L130
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 66
Lecture Hours: 22
Tutorial Hours: 10
Guided Learning: 30
Captured Content: 22
Prerequisites / Co-requisites
Indicative content includes:
- Kaldor facts and Business Cycle Statistics
- Growth Models (Solow and Ramsey)
- Real Business Cycle Model
- Fiscal Policy
|Assessment type||Unit of assessment||Weighting|
|Online Scheduled Summative Class Test||ONLINE CLASS TEST WITHIN 4 HOUR WINDOW (75 MIN)||25|
|Project (Group/Individual/Dissertation)||GROUP PROJECT||15|
|Examination||FINAL EXAMINATION (120 MIN)||60|
The alternative assessment for the group project is an individual assignment.
The assessment strategy is designed to provide students with the opportunity to demonstrate that they have achieved the module’s learning outcomes and, by association, developed their digital capabilities, global intelligence, resourcefulness, and employability.
Thus, the summative assessment for this module consists of:
- a class test, which is connected to learning outcomes 1 and 4
- a group project, which is connected to learning outcomes 2 and 3
- a final exam, which is connected to learning outcomes 1 and 4
Formative assessment and feedback
Classes to provide verbal feedback on the exercises and individual feedback on performance in the in-semester test.
- The aim of the module is to introduce students to the study of macroeconomic theory, macroeconomic policies and macroeconomic data at an advanced level
|001||Evidence the capacity to solve problems in macroeconomics under time-constraint||KCP||RESOURCEFULNESS AND RESILIENCE|
|002||Engage with the management of macroeconomic datasets and apply statistical tools using suitable software manner||KCPT||DIGITAL CAPABILITIES|
|004||Critically evaluate advanced scholarship in macroeconomics, including macroeconomic theories||KC|
|003||Demonstrate effective work in a small, international team towards a shared goal||KC||EMPLOYABILITY; GLOBAL AND CULTURAL INTELLIGENCE|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
- prepare the students for the study of economics and econometrics at FHEQ Level 7 (first week)
- to ensure that students are familiar with modern methods in Macroeconomics, starting from a range of theoretical assumptions.
The lectures provide an understanding of a variety of important macroeconomic models. The tutorials give students experience in manipulating formulae and deriving results for the models discussed in the lectures and help prepare for the in-semester test.
The learning and teaching methods include:
- reading lecture slides
- reading the textbook
- reading assigned journal articles solving problems
- dedicated lectures in quantitative methods in week 1 responding to questions in class
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.
Upon accessing the reading list, please search for the module using the module code: ECOM021
In line with the University's curriculum framework, the School of Economics 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:
Developing students' ability to solve problems under time constraint (assessments 1 and 3)
Global and Cultural Capabilities
Enhancing students' competencies through participation in inclusive groups where seamless communication is essential.
Resourcefulness and Resilience
Promoting resourcefulness as part of the group project
Amplifying student ability in working with macroeconomic data
Programmes this module appears in
|Economics (Econometrics and Big Data) MSc||1||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Economics (Policy Evaluation and Data Analysis) MSc||1||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Economics (Macroeconomics and Financial Markets) MSc||1||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Economics (International Economics) MSc||1||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Economics MSc||1||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Economics and Finance MSc||1||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
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.