|
週次 |
日期 |
單元主題 |
|
第1週 |
9/05 |
1. Introduction of the course
2. The basic of Python, Jupyter Notebook, github, google colab
3. The importance of data visualization |
|
第2週 |
9/12 |
Theme: DATA! DATA! DATA! A lot of astronomical data are coming!
1. Research concepts / scientific method
2. Motivation of data analysis in astronomy
3. TOPCAT
4. A short introduction of astronomical surveys and simulations |
|
第3週 |
9/19 |
Theme: How can I tell the difference between two measurements? Detection or Noise
Basic statistics / uncertainty estimation / statistical estimators
|
|
第4週 |
9/26 |
Theme: What should I do if I see two parameter values increase together? How can I quantify this trend?
Error propagation / Correlation coefficients |
|
第5週 |
10/03 |
Theme: If the signals I am looking for are below the noise level, is it possible that I can still detect them?
Correlation coefficients / Cross-correlation measurements |
|
第6週 |
10/10 |
放假 |
|
第7週 |
10/17 |
Theme: Finding a line going through all the data points! and describe the data.
Cross-correlation / Regression |
|
第8週 |
10/24 |
Midterm presentation / Regression |
|
第9週 |
10/31 |
Theme: What Machine learning can help us in extracting information from datasets?
Regression (continue) / The basic of machine learning |
|
第10週 |
11/07 |
Theme: What if I want to model the SED of quasars? Let us use the PCA technique
The basic of machine learning / PCA Dimensionality reduction techniques
|
|
第11週 |
11/14 |
Theme: What if I want to model the SED of quasars? Let us use the PCA technique
PCA Dimensionality reduction techniques |
|
第12週 |
11/21 |
Theme: With the photometric information, can we separate stars and quasars?
Support Vector Machine / Logistic regression / Decision tree / Random forest |
|
第13週 |
11/28 |
Theme: With the photometric information, can we separate stars and quasars?
Support Vector Machine / Logistic regression / Decision tree / Random forest
|
|
第14週 |
12/05 |
Theme: Deep learning technique (neural network) for classifying galaxy images.
Ethic of machine learning / Neural network / Deep learning |
|
第15週 |
12/12 |
Theme: Deep learning technique (CNN) for classifying galaxy images.
Neural network / Deep learning |
|
第16週 |
12/19 |
Final Presentation |