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RE1INTD: Introduction to Data Analysis
Module code: RE1INTD
Module provider: Real Estate and Planning; Henley Business School
Credits: 20
Level: 4
When you'll be taught: Semester 1
Module convenor: Dr Yiquan Gu, email: yiquan.gu@henley.reading.ac.uk
Additional teaching staff 1: Dr Nurjihan Idris, email: nurjihan.idris@henley.edu.my
Pre-requisite module(s):
Co-requisite module(s):
Pre-requisite or Co-requisite module(s):
Module(s) excluded:
Placement information: NA
Academic year: 2024/5
Available to visiting students: No
Talis reading list: Yes
Last updated: 19 November 2024
Overview
Module aims and purpose
The module introduces basic statistical concepts and data analysis. It introduces statistical terminology and basic concepts, allowing students to systematically analyse and describe quantitative data. Using basic statistical tools, students will learn how a research hypothesis is developed and tested. The module focus is on applications in a real estate and planning context using Microsoft Excel, including the integrated use of AI. Therefore, the module further focuses on the use of Excel and on ways to visualise data. Â
The module will lay the foundation of analytical methods for real estate and planning practice. It will enable students to interpret, display and explore data, understand the concept of probabilities, and conduct simple hypothesis testing. It will apply these concepts to real estate and real estate development analyses.Â
The module lead at the °ÄÃÅÁùºÏ²Ê¿ª½±¼Ç¼ Malaysia is Dr Nurjihan Idris.
Module learning outcomes
By the end of the module, it is expected that students will be able to:Â
- Describe data using both tables and a graphic representationÂ
- Analyse data and display and explore trends and key summary statisticsÂ
- Identify different types of probability distributionsÂ
- Apply simple hypothesis testingÂ
Module content
- Introduction to different types of dataÂ
- Data description (central tendency, dispersion, correlation etc.)Â
- Probability distributionÂ
- Data visualisationsÂ
- Hypothesis developmentÂ
- Hypothesis testingÂ
- Basic econometric modellingÂ
Structure
Teaching and learning methods
The module is taught using a combination of lectures, seminars, and practical workshops. Each week, one lecture will be devoted to presenting and discussing key concepts and methods. This will be followed by a seminar where concepts and methods are applied. Students are expected to complete all work sets before their seminars, and they may be called upon to answer questions. In addition, there will be practical workshops guiding students on the use of Excel for data analysis. Â
For students studying at our campus in Malaysia: This module may be taught in a different semester and the breakdown of study hours may differ to those set out in the Study Hours table (please refer to the Module Handbook for the correct breakdown). In addition, you will be required to complete an additional 40 hours of study, taking the total number of study hours to 240 for this module. This is to comply with the Malaysian Quality Agency (MQA).Â
Study hours
At least 30 hours of scheduled teaching and learning activities will be delivered in person, with the remaining hours for scheduled and self-scheduled teaching and learning activities delivered either in person or online. You will receive further details about how these hours will be delivered before the start of the module.
 Scheduled teaching and learning activities |  Semester 1 |  Semester 2 | Ìý³§³Ü³¾³¾±ð°ù |
---|---|---|---|
Lectures | 14 | ||
Seminars | 9 | ||
Tutorials | |||
Project Supervision | |||
Demonstrations | |||
Practical classes and workshops | 7 | ||
Supervised time in studio / workshop | |||
Scheduled revision sessions | |||
Feedback meetings with staff | |||
Fieldwork | |||
External visits | |||
Work-based learning | |||
 Self-scheduled teaching and learning activities |  Semester 1 |  Semester 2 | Ìý³§³Ü³¾³¾±ð°ù |
---|---|---|---|
Directed viewing of video materials/screencasts | |||
Participation in discussion boards/other discussions | |||
Feedback meetings with staff | |||
Other | |||
Other (details) | |||
 Placement and study abroad |  Semester 1 |  Semester 2 | Ìý³§³Ü³¾³¾±ð°ù |
---|---|---|---|
Placement | |||
Study abroad | |||
 Independent study hours |  Semester 1 |  Semester 2 | Ìý³§³Ü³¾³¾±ð°ù |
---|---|---|---|
Independent study hours | 170 |
Please note the independent study hours above are notional numbers of hours; each student will approach studying in different ways. We would advise you to reflect on your learning and the number of hours you are allocating to these tasks.
Semester 1 The hours in this column may include hours during the Christmas holiday period.
Semester 2 The hours in this column may include hours during the Easter holiday period.
Summer The hours in this column will take place during the summer holidays and may be at the start and/or end of the module.
Assessment
Requirements for a pass
Students need to achieve an overall module mark of 40% to pass this module.
Summative assessment
Type of assessment | Detail of assessment | % contribution towards module mark | Size of assessment | Submission date | Additional information |
---|---|---|---|---|---|
Online written examination | Exam | 100 | 3,600 words (indicative guide time three hours) | During the Semester 1 Assessment Weeks |
Penalties for late submission of summative assessment
The Support Centres will apply the following penalties for work submitted late:
Assessments with numerical marks
- where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of three working days;
- the mark awarded due to the imposition of the penalty shall not fall below the threshold pass mark, namely 40% in the case of modules at Levels 4-6 (i.e. undergraduate modules for Parts 1-3) and 50% in the case of Level 7 modules offered as part of an Integrated Masters or taught postgraduate degree programme;
- where the piece of work is awarded a mark below the threshold pass mark prior to any penalty being imposed, and is submitted up to three working days after the original deadline (or any formally agreed extension to the deadline), no penalty shall be imposed;
- where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.
Assessments marked Pass/Fail
- where the piece of work is submitted within three working days of the deadline (or any formally agreed extension of the deadline): no penalty will be applied;
- where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension of the deadline): a grade of Fail will be awarded.
The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/qap/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.
Formative assessment
Formative assessment is any task or activity which creates feedback (or feedforward) for you about your learning, but which does not contribute towards your overall module mark.
Formative assessment includes a series of seminar exercises where students attempt to solve problems. Participation is essential to acquire full knowledge. Seminars will provide feedback to students who want to improve their knowledge and they should be regarded as an effective feedback system to test abilities and ask for clarifications.Â
Reassessment
Type of reassessment | Detail of reassessment | % contribution towards module mark | Size of reassessment | Submission date | Additional information |
---|---|---|---|---|---|
Online written examination | Exam | 100 | 3,600 words (indicative guide time three hours) | During the University Resit Period |
Additional costs
Item | Additional information | Cost |
---|---|---|
Computers and devices with a particular specification | ||
Required textbooks | Depending on whether the university provides free access to the required textbook in e-book format, there could be a cost to purchase a textbook. | Estimated £50 |
Specialist equipment or materials | ||
Specialist clothing, footwear, or headgear | ||
Printing and binding | ||
Travel, accommodation, and subsistence |
THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.