| Date | Description | Course Materials |
|---|---|---|
| Day 1 | Lecture 1: Mathematical Foundations |
day-1-slides day-1-classroom-exercises day-1-assignment |
| Day 2 |
Distinguished guest lecture by Prof.Yuhao Wang. Prof.Yuhao Wang is currently an assistant professor in the Institute for Interdisciplinary Information Sciences at Tsinghua University (清华姚班) and holds a Ph.D. in Computer Science from MIT. ---class break--- Lecture 2: Python Basics (1) |
day-2-slides day-2-classroom-exercises day-2-assignment |
| Day 3 | Lecture 3: Python Basics (2) |
day-3-slides day-3-classroom-exercises day-3-assignment |
| Day 4 | Lecture 4: Python Basics (3) and AI Tools to Assist Programming |
day-4-slides day-4-classroom-exercises day-4-assignment |
| Day 5 | Lecture 5: NumPy |
day-5-slides day-5-classroom-exercises day-5-assignment |
| Day 6 | Lecture 6: Introduction to Machine Learning |
day-6-slides day-6-assignment |
| Day 7 | Lecture 7: Linear Regression |
day-7-slides day-7-classroom-exercises day-7-assignment Google Teachable Machine |
| Day 8 | Lecture 8: Logistic Regression |
day-8-slides day-8-classroom-exercises day-8-assignment |
| Day 9 | Lecture 9: Neural Networks and Large Language Models |
day-9-slides day-9-classroom-exercises day-9-assignment |
| Day 10 | Lecture 10: LaTeX and Sample Research Paper Writing, College Application Preparation |
day-10-slides Course Summary and College Application day-10-assignment data-and-prompt course-report-latex APA-7th-edition-template-student-version Tools assisting paper reading |