## RE3SQT-Statistics and Quantitative Techniques

Module Provider: Real Estate and Planning
Number of credits: 10 [5 ECTS credits]
Level:6
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2020/1

Module Convenor: Dr Mike Langen

Type of module:

Summary module description:

The module covers core statistical and econometric topics and introduces quantitative concepts relevant to investment decisions. The aims of this module are to give the student an understanding of quantitative methods, and their application in the context of real estate.

This module is delivered at the University of Reading only.

Aims:

The aims of this module are to give the student an understanding of quantitative methods and their application in the context of real estate. The module will cover core statistical and econometric topics, and introduce quantitative concepts relevant to investment decisions.

Assessable learning outcomes:

The module introduces contemporary statistical, econometric and other quantitative techniques. The importance of the unique characteristics of property markets will be emphasised, as well as their impact upon the nature of applied quantitative analysis.

Upon completion of the module, it is expected that the student will be able to:

• Apply a range of applied statistical techniques;

• Have a critical understanding of the concepts re lating to econometric modelling;

• Understand the application and the use of quantitative methods for real estate data analysis.

The module will aid students in developing their technical and quantitative skills. It will also enhance students’ ability to analyse the economic and investment environments of real estate markets.

Outline content:

Introduction to Statistics:

• Central tendency, location and variability measures

• Sampling and Hypothesis Testing

Measuring uncertainty:

• Probability Distributions

Using statistical inference:

• Ordinary Least Square Least Squares (OLS) Estimation and Hypothesis Testing

• Multivariate OLS and Diagnostic Testing

• Forecasting in Real Estate Markets

Brief description of teaching and learning methods:

The module will comprise lectures and practical workshops. These workshops will complement the formal lectures and provide students with the opportunity to apply the methods taught.

Contact hours:
 Autumn Spring Summer Lectures 10 Practicals classes and workshops 5 Guided independent study: Wider reading (independent) 30 Preparation for seminars 10 Essay preparation 45 Total hours by term 0 100 0 Total hours for module 100

Summative Assessment Methods:
 Method Percentage Project output other than dissertation 100

Summative assessment- Examinations:
None

Summative assessment- Coursework and in-class tests:

One piece of project-based coursework that will involve statistical analysis, interpretation of results, and production of a report of approximately 2,500 words.

The submission deadline of the report is in the final week of the Spring term (week 30).

Formative assessment methods:

Penalties for late submission:

The Module Convenor will apply the following penalties for work submitted late, in accordance with the University policy.

• where the piece of work is submitted up to one calendar week after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for the piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of five working days;

• where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

The University policy statement on penalties for late submission can be found at: http://www.reading.ac.uk/web/FILES/qualitysupport/penaltiesforlatesubmission.pdf

You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Assessment requirements for a pass:

A mark of at least 40%.

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.