Data Science
| Course Purpose |
|---|
| The purpose of this course is for students to learn about data science using human data analysis methods which is the basis of human informatics, from various perspectives. |
| Learning Goals |
| Students will acquire an understanding of: a) statistical methods to acquire knowledge from human data, and b) mathematical methods for processing human data. |
| Topic | |
|---|---|
| Session 1 | introduction |
| Session 2 | Mean and variance, confidence intervals |
| Session 3 | Chi-square test |
| Session 4 | t-test |
| Session 5 | Analysis of variance (1 factor) |
| Session 6 | Analysis of variance (2 factors) |
| Session 7 | Mid-term exam |
| Session 8 | Scatter plots and correlations, correlation coefficients |
| Session 9 | Correlation test, regression line |
| Session 10 | Special exercises |
| Session 11 | Partial correlation |
| Session 12 | Multiple regression |
| Session 13 | Correlation matrix/Factor analysis |
| Session 14 | Comprehensive exercise |