## REMB29-Applied Analytical Methods

Module Provider: Real Estate and Planning
Number of credits: 20 [10 ECTS credits]
Level:7
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Module version for: 2016/7

Module Convenor: Dr Anupam Nanda

Summary module description:

Aims:
This module introduces quantitative techniques that can be applied to component modules across the MSc Flexi programme. Topics will include introductory data analysis and statistical inference, regression analysis, modelling and forecasting relationships and Monte Carlo simulations. At the end of the module students will have developed skills enabling them to substantially enhance their understanding and application of quantitative and modelling methods used in the property industry. The module will be a blend of lectures and computing workshops/group exercises using Excel and econometric software applied to real estate data.

Assessable learning outcomes:
Upon completion of this module, students will be able to
examine real estate problems from a quantitative angle;
describe and summarize data and variable relationships using basic statistics;
apply appropriate quantitative methods to perform computer-assisted analysis;
interpret the quantitative results of analyses and communicate those results to a non-statistical audience;
utilize spreadsheets and regression-oriented software packages to perform analysis;
interpret and evaluate published results of empirical research in real estate

• enhance their oral and communication skills through discussions of the applied workshop exercises and results;
• develop their IT skills through the computer-based workshops;
• enhance their capacity to read complex published material in a critical fashion;
• develop their business report writing skills through the coursework

Outline content:

• Summarising data and descriptive statistics
-Statistical distributions
-Statistical measures for portfolio investment applications
-Hypothesis testing and confidence intervals
-Regression analysis and associated diagnostics
-Building, estimating and evaluating forecasting models
-Developing econometric and time-series real estate models
-Optimisation
-Estimating risk measures

Brief description of teaching and learning methods:
The unit comprises of lecture-based and applied computing components. Additionally, students will be expected, on an independent basis, to read prescribed articles in order to prepare for the applied workshops.

Contact hours:
 Autumn Spring Summer Lectures 15 Seminars 10 Tutorials 5 Guided independent study 170 Total hours by term 200.00 Total hours for module 200.00

Summative Assessment Methods:
 Method Percentage Report 100

Other information on summative assessment:
The module will include 1 assignment. This will be a major practice-based assignment, which will involve data collection, statistical analysis, interpretation of results and the production of a report. The assignment will be provided at the end of the module for submission at the beginning of the summer term. The guide length of the assignment is 3,500 words (or equivalent). All word counts are for guidance only. Unless the specific requirement of an individual assignment states that the word limit is strict, then there is some discretion with the guide length.

As this is a core Module of Special Significance, students joining the MSc Real Estate Investment & Finance programme from September 2012 up to June 2016 must achieve a mark of at least 40 in order to be awarded the MSc. This is an elective module for students joining the MSc Real Estate Investment & Finance programme from September 2016.

Formative assessment methods:

Penalties for late submission:
Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx

Length of examination:
None

Requirements for a pass:
50%

Reassessment arrangements:
Reassessment will be by the same method as for the module’s original assessment requirements, subject to variation by the Examination Board where appropriate, which will achieve a maximum mark of 50.