PROPPRAC 709 : Advanced Property Analytics

Business and Economics

2024 Quarter Three (1246) (15 POINTS)

Course Prescription

Extend and apply core property knowledge involving management, development valuation and investment to critically analyse property through use of geographic information system (GIS) and cash flow modelling software.

Course Overview

This course empowers students to make informed property investment decisions by applying advanced property analytics concepts as well as techniques. Students will develop skills in sourcing, evaluating, and presenting property-specific data, focusing on GIS applications in property investment, and statistical and financial modeling.  

By the end of the course, students will be adept at evaluating property investment opportunities with attribute and spatial data using GIS software like QGIS, performing financial analysis in Excel, testing statistical models using JASP, and visualising property data with Microsoft Power BI. Practical examples using spreadsheet applications, real-world projects, and financial modeling will supplement the concepts and techniques introduced. Upon completion, students will produce a comprehensive and professional Property Investment Report, showcasing their ability to conduct advanced data analytics as well as mastery of GIS, financial modeling, and other key concepts explored throughout the course.

Course Requirements

Prerequisite: 45 points from PROPPRAC 700-708

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Capability 4: Communication and Engagement

Learning Outcomes

By the end of this course, students will be able to:
  1. Exhibit proficiency in research, data gathering, and software usage for property-related analysis. (Capability 1 and 3)
  2. Integrate GIS analysis across residential investment evaluation, development project feasibility, and spatial data-driven decision-making. (Capability 1 and 3)
  3. Demonstrate JASP proficiency for hedonic regression, analysing different factors that affect property price movements. (Capability 1 and 3)
  4. Proficient use of Excel to conduct Discounted Cash flow (DCF) analysis in property analytics. (Capability 1 and 3)
  5. Communicate findings and recommendations from various analyses in concise, professional reports, adhering to academic standards. (Capability 1, 2, 3 and 4.2)

Assessments

Assessment Type Percentage Classification
Assignment One 35% Individual Coursework
Assignment Two 20% Individual Coursework
Assignment Three 45% Individual Coursework
Assessment Type Learning Outcome Addressed
1 2 3 4 5
Assignment One
Assignment Two
Assignment Three

Workload Expectations

This course is a standard 15- point course and students are expected to spend 15 hours per week involved in each 15- point course that they are enrolled in.

For this course, each week you can expect 1 hour of class discussion, 8 hours of engaging with course content and 6 hours of work on quizzes, assignments and/or test preparation.

Delivery Mode

Online

Attendance is highly encouraged at scheduled online activities including tutorials/workshops to complete components of the course. These will be recorded.

Where possible, study material will be available at course commencement.

This course runs to the University quarter timetable and all the associated completion dates and deadlines will apply.

Learning Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

The course materials and required readings specific to each topic will be available on Canvas Modules each week.

Suggested readings:

  • O'Sullivan, D., & Unwin, D. J. (2010). Geographic Information Analysis. John Wiley & Sons.
  • Brown, R. J. (2005). Private real estate investment: Data analysis and decision making. Academic Press. 
  • Bernhardsen, T. (2002). Geographic Information Systems: An Introduction. John Wiley & Sons. 
  • Damodaran, A. (2012). Investment Valuation: Tools and Techniques for Determining the Value of Any Asset. John Wiley & Sons. 
  • Bourassa, S. C., Hoesli, M., & Peng, V. S. (2003). Do housing submarkets really matter? Journal of Housing Economics, 12(1), 12-28. 

Student Feedback

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed for potential plagiarism or other forms of academic misconduct, using computerised detection mechanisms.

Class Representatives

Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website http://disability.auckland.ac.nz

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Learning Continuity

In the event of an unexpected disruption, we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and course assessment continues to meet the principles of the University’s assessment policy. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator/director, and if disruption occurs you should refer to the university website for information about how to proceed.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.

Disclaimer

Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course students may be asked to submit coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. In exceptional circumstances changes to elements of this course may be necessary at short notice. Students enrolled in this course will be informed of any such changes and the reasons for them, as soon as possible, through Canvas.

Published on 09/09/2024 12:03 p.m.