Spring 2019 - STAT 650 G100
Quantitative Analysis in Resource Management and Field Biology (5)
Class Number: 3455
Delivery Method: In Person
The use of statistical techniques and mathematical models in resource management with special emphasis on experimentation, survey techniques, and statistical model construction. This course may not be used for the satisfaction of degree requirements in the Department of Statistics and Actuarial Science.
Please note that Thursday's Lecture is actually 2 hours 14:30-16:20
The course will focus on methods of sampling and experimental designs, along with associated statistical analyses. Emphasis will be place on applications to resource and environmental management, field biology, and other fields. Practical methods and underlying concepts will be stressed.
- Assignments 20%
- Term Test 1 15%
- Term Test 2 15%
- Final Exam 50%
All above grading is subject to change.
No formal text assigned.
Graduate Studies Notes:
Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.
SFU’s Academic Integrity web site http://students.sfu.ca/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
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS