In terms of ideation:
· Guiding students towards systems thinking rather than detailed thinking.
· Encouraging students to understand concepts holistically rather than rote memorization.
· Guiding students to adopt an effective "begin with the end in mind" approach, setting goals first and then determining the most suitable solutions (or data analysis methods).
In terms of methodology (particularly focusing on statistical applications):
· Enabling students to effortlessly grasp and retain statistical concepts for a lifetime, including issues like insufficient causal reasoning and the rise of probability theory.
· Understanding random variable transformations as functions of samples; representing truth with probability models; statistical inference encompassing estimation, hypothesis testing, control charts, regression, and experimental design.
The course incorporates hands-on computer implementation (using software such as MS Excel, Minitab, Flexsim, etc.) to allow students to simulate statistical concepts and formulas in practice. Students no longer fear statistics but can apply statistical concepts to life and work, ultimately enhancing their quality of life, achieving systems thinking, and thinking big.