Course Structure
This is a scheduled online course that is completed over 15 weeks. The weekly work typically includes reading one or more chapters, watching an instructional video, and completing a multiple choice assignment. There are two term projects required and the course ends with a written online examination.
Course Details/Syllabus
- Course Description for BUSI 344
- Learning Objectives for BUSI 344 - detailed competencies to be achieved from this course.
Lesson No. 1 - Statistical Foundations for Real Estate Analysis
Lesson No. 2 - Statistical Software Applications for Real Estate Analysis
Lesson No. 3 - Exploratory Data Analysis
Lesson No. 4 - Market Identification and Property Characterization
Lesson No. 5 - Statistical Analysis and Computer Applications Case Studies
Lesson No. 6 - Basics of Model Building
Lesson No. 7 - Model Building using Multiple Regression Analysis
Lesson No. 8 - Comprehensive Model Building – Data Screening and Testing
Lesson No. 9 - Automated Valuation Models (AVMs)
Lesson No. 10 - Geographic Information Systems (GIS)
Prerequisites: No mandatory prerequisites. Recommend BUSI 121 and BUSI 330.
Software: Requires Microsoft Excel and IBM SPSS. See the Statistical Software page for more information.
Weekly multiple choice assignments: 10% of final grade.
Project 1: Statistical and Computer Valuation Applications: 15% of final grade
Project 2: Valuation Modelling Case Study: 25% of final grade
Final exam: Multiple choice and short-answer, written questions: 50% of final grade
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