Course Overview

This is an advanced course intended for senior undergraduate and graduate students with knowledge of basic statistics including random variables, analysis of variance, regression analysis, and rank-based non-parametric statistics. We will discuss several computer-intensive statistical methods. We will discuss the theory, assumption, and application of these methods in ecological problems.

Learning Achievement

The course is designed for hand-on work. Students need to get familiar with at least one computer language to do the statistics. Most of work can be done with R or MatLab, but any other programming language will do equally well. Sometimes, we will use well-developed software when the computation is too complicated and beyond the basic level. There will be dedicated time every week for students to present their works and to discuss the application of these methods on real world problems.

Competence

Course prerequisites

Solve homework problems every week. There will be dedicated time every week for students to present their works and to discuss the application of these methods on real world problems.

Grading Philosophy

Course schedule

Course type

Online Course Requirement

Instructor

Chih-Hao Hsieh

Other information

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