The course covers statistical methods in human and technology studies or experiments. The course starts with a contrast of hypothesis-driven research supported by statistical inference versus rigorous deduction based on first principles; this is in order to delineate the current from the past mode of science and motivate the subject. Then, it proceeds in a step-wise manner building the student’s background in the statistical tools of the trade. The course culminates the last two weeks with a connection of sound research methods to sound researchers’ attitudes, by delving into the teachings of stoic philosophy.
Practice exercises and examples for the class.
cosc6323-stats-r-practice/
|-- Exercises/
| |-- HW1/
| |-- LastName_FirstName_StudID_HW1.zip
| |-- HW2/
| |-- LastName_FirstName_StudID_HW2.zip
|-- Project/
| |-- data/
| |-- raw_data/input_data.csv
| |-- processed_data/processed_data.csv
| |-- output/report1.pdf
| |-- rmd/.Rmd
| |-- scripts/.R
| |-- README.md
|-- R_Practices/
| |-- lesson1/lesson1_1.R
| |-- lesson2/lesson2_1.R
|-- Sources/
| |-- articles/
| |-- Rbase-cheatsheet.pdf
|-- Tests/
| |-- test_HW1.R
| |-- test_project1.R
|-- .gitignore
|-- LICENSE
|-- README.md