Lesson No. 1: Review of Statistical Software and Valuation Modeling Basics
Lesson No. 2: Data Screening – Preparing Data for Modeling
Lesson No. 3: Land Value Modeling
Lesson No. 4: Cost-Based Modeling
Lesson No. 5: Sales-Based Modeling
Lesson No. 6: Advanced Sales-Based Modeling – Non-Linear Regression
Lesson No. 7: Income-Based Modeling
Lesson No. 8: Integrating Geographic Information Systems and CAMA
Lesson No. 9: Neural Network Applications in Real Estate Analysis
Lesson No. 10: The Canadian CAMA Experience
General Objective : This course applies advanced statistical modeling and geographic information systems to improve the consistency and quality of real property assessments.
Course structure : Weekly multiple choice assignments (10% of final grade), three term projects (50% of final grade, in total), and a take-home final examination (40%). Course requires extensive hands-on computer work with statistical software (e.g., PASW/SPSS, NCSS).
Prerequisites : BUSI 121 and 344. Recommend BUSI 330 and BUSI 443.
Software: Requires either PASW/SPSS or NCSS. See the Statistical Software webpage for more information.
Project 1: Modeling Land Value and Cost Case Study (20% of final grade)
Project 2: Sales-Based Modeling Case Study (20% of final grade)
Project 3: Income Modeling Case Study (10% of final grade)
Comprehensive Case Study final examination (take-home) (40%): Completes BUSI 444 course requirement. Also eligible for credit towards IAAO's demonstration report requirement for its CAE, MAS, and RES designations or AIC's guided case study requirement for its CRA designation. Please note: students who complete BUSI 444 with a partner institution (e.g., Lakeland College, Seneca College) will receive course credit for their final examination, but in order to receive demonstration report credit, students must submit their examination to the UBC Real Estate Division for review along with a $100 review fee.
- Course Description for BUSI 444
- Learning Objectives for BUSI 444 - detailed competencies to be achieved from this course.
See Table of Contents for the texbook for this course: