PROBABILITY AND STATISTIC (2 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: describe the basic of statistical data; explain the visualization of statistical data; calculate the numerical measurement, probability and probability distribution and other statistical calculation in Machine Learning Application; demonstrate a hypothesis test and regression analysis; interpret the result of statistical calculation.

Topics:

1. Defining and Collecting Data;
2. Organizing and Visualizing Variables;
3. Numerical Descriptive Measures;
4. Basic Probability;
5. Probability Distribution;
6. Discrete Probability Distributions;
7. The Normal Distribution and Other Continuous Probability Distributions;
8. Sampling Distribution and Confidence Interval Estimation;
9. Fundamental of Hypothesis Testing: One-Sample Tests;
10. Two-Samples Tests;
11. Simple Linear Regression.