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Course Schedule: Results

 

2020 January Semester
Apr 23, 2024
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Sections Found
CRN 10785
Advanced Statistical Analyses for Natural Resource Sciences - NRES 776 - A1
This course provides graduate students in natural resource sciences with advanced, practical training in the analysis of quantitative data. The course focuses primarily on advanced univariate statistics that can be applied to both experimental and observational data. This focus includes a full exploration of generalized linear models (E.g., linear, logistic, and mixed models) as well as methods for experimental data including analysis of variance and associated techniques. Also, students receive instruction in the principles of experimental design, data management, and the review and reporting of statistical results. Students receive instruction in the use of statistical software used for manipulating and analysing data that are applicable to the natural resource sciences.

Prerequisites: Undergraduate course in univariate statistical analysis or permission of the Instructor



Levels:  Graduate

Campus:    Prince George
Schedule Type:  Lecture
Instructional Method: On campus, face to face
Credits:   3.000


Scheduled Meeting Times
Type Time Days Where Date Range Schedule Type Instructors
Class 9:30 am - 10:20 am WF Agora 7-152 Jan 06, 2020 - Apr 24, 2020 Lecture Eduardo Osses Guimaraes Martins (P)E-mail


CRN 10786
Advanced Statistical Analyses for Natural Resource Sciences - NRES 776 - L1
This course provides graduate students in natural resource sciences with advanced, practical training in the analysis of quantitative data. The course focuses primarily on advanced univariate statistics that can be applied to both experimental and observational data. This focus includes a full exploration of generalized linear models (E.g., linear, logistic, and mixed models) as well as methods for experimental data including analysis of variance and associated techniques. Also, students receive instruction in the principles of experimental design, data management, and the review and reporting of statistical results. Students receive instruction in the use of statistical software used for manipulating and analysing data that are applicable to the natural resource sciences.

Prerequisites: Undergraduate course in univariate statistical analysis or permission of the Instructor



Levels:  Graduate

Campus:    Prince George
Schedule Type:  Laboratory
Instructional Method: On campus, face to face
Credits:   0.000


Scheduled Meeting Times
Type Time Days Where Date Range Schedule Type Instructors
Class 11:30 am - 2:20 pm R Teaching Lab 8-365 Jan 06, 2020 - Apr 24, 2020 Laboratory Eduardo Osses Guimaraes Martins (P)E-mail



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Release: 8.7.2.6