Spring 2021 - STAT 445 E100

Applied Multivariate Analysis (3)

Class Number: 3349

Delivery Method: In Person

Overview

  • Course Times + Location:

    Tu 4:30 PM – 6:20 PM
    REMOTE LEARNING, Burnaby

    Th 4:30 PM – 5:20 PM
    REMOTE LEARNING, Burnaby

  • Exam Times + Location:

    Apr 18, 2021
    7:00 PM – 10:00 PM
    REMOTE LEARNING, Burnaby

  • Prerequisites:

    STAT 285 or STAT 302 or STAT 305 or BUEC 333 or equivalent.

Description

CALENDAR DESCRIPTION:

Introduction to principal components, cluster analysis, and other commonly used multivariate techniques. Quantitative.

COURSE DETAILS:


Course Outline

1. Random vectors and matrices, sample geometry
2. Multivariate normal distribution
3. Principal components
4. Factor analysis
5. Discrimination and classification
6. Clustering
7. Multivariate linear regression

Mode of Teaching

  • Lecture: Synchronous/Asynchronous
  • Tutorial: Synchronous
  • Quizzes and Midterm: Synchronous; Date: TBA
  • Final exam: Synchronous; date: TBA
  • Remote invigilation (Zoom, or other approved software) will be used.

Grading

  • Assignments 10%
  • Midterm and in-class quizzes, projects 60%
  • Final 30%

NOTES:

Above grading is subject to change.

Materials

MATERIALS + SUPPLIES:

Access to high-speed internet, webcam.

REQUIRED READING:

Required Text:

Applied Multivariate Statistical Analysis, 6th ed. by R.A. Johnson and D.W. Wichern.  Publisher: Prentice Hall.

Department Undergraduate Notes:

Students with Disabilities:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or csdo@sfu.ca


Tutor Requests:
Students looking for a Tutor should visit http://www.stat.sfu.ca/teaching/need-a-tutor-.html. We accept no responsibility for the consequences of any actions taken related to tutors.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

TEACHING AT SFU IN SPRING 2021

Teaching at SFU in spring 2021 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.

Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112).